From news at ICCSS2015.EU Mon Dec 1 10:04:38 2014 From: news at ICCSS2015.EU (Pietro della Briotta Parolo) Date: Mon, 1 Dec 2014 17:04:38 +0200 Subject: LAST CALL: ABSTRACT SUBMISSION WILL BE CLOSED ON DECEMBER THE 7th (ICCSS Helsinki) Message-ID: ***APOLOGIES FOR MULTIPLE POSTINGS*** CALL FOR ABSTRACTS International Conference on Computational Social Science Finlandia Hall, Helsinki, Finland, 8-11 June 2015 WEBSITE http://www.iccss2015.eu/ IMPORTANT DATES Deadline for abstract submission: 7 December 2014, 23:59 GMT Opening of registration: 15 January 2015 Conference dates: 8-11 June 2015 CONFERENCE FEE We are seeking continuously funds for the conference, but we can anticipate that the conference fee for early registration will be of about 350 euro for regular participants and around 200 euro for students. EVENT OVERVIEW The conference will bring together scientists from different areas to meet and discuss problems on social systems and dynamics, as well as research questions motivated by large datasets, either extracted from real applications (e.g. social media, communication systems), or created via controlled experiments. PROGRAM CHAIRS Karen Cook (Stanford) Santo Fortunato (Aalto University) Michael Macy (Cornell) KEYNOTE SPEAKERS Opening talk by Michael Macy (Cornell) Lada Adamic (Facebook) Sinan Aral (MIT) Albert-Laszlo Barabasi (Northeastern University and CEU) Nicholas Christakis (Yale) Robin Dunbar (Oxford) Andreas Flache (University of Groeningen) Dirk Helbing (ETH Zurich) Matthew Jackson (Stanford) David Lazer (Northeastern University) Jure Leskovec (Stanford) Alex Pentland (MIT) Alessandro Vespignani (Northeastern University) Duncan Watts (Microsoft) ORGANIZING COMMITTEE Santo Fortunato (Aalto University) Aristides Gionis (Aalto) Heikki H?mm?inen (Aalto) Kimmo Kaski (Aalto) Walter Quattrociocchi (IMT Lucca) Jari Saram?ki (Aalto) Juuso Valim?ki (Aalto) TOPICS OF INTEREST INCLUDE (but are not limited to) Social networks Social contagion Communication dynamics Information diffusion and other spreading phenomena Social influence Crowd-sourcing Popularity dynamics Smart cities Attention economics Social design and user behavior Group formation, evolution and group behavior analysis Human mobility Mobility and context-awareness Economics of trust SUBMISSION INSTRUCTIONS Contributions to the conference have to be submitted via Easychair (https://easychair.org/conferences/?conf=ic2s2), the name of the event there is IC2S2. Each submission consists of an extended abstract of max 2 pages. Please give a sufficiently detailed description of your work, put at least one figure, otherwise it will be difficult for the PC to assess its relevance. Short, paper-like abstracts will not be considered. Abstracts do not need to refer to unpublished work. If the work is published or under submission elsewhere it is fine. We want to give to everyone the opportunity to present the most relevant work to the topics of the conference. There will be no proceedings, but we are going to have a special issue in EPJ Data Science (http://www.epjdatascience.com/), where selected contributions will be published. Authors of those contributions would be invited to submit full papers after the conference. Each extended abstract will be reviewed by two PC members. Abstracts can be submitted from September the 15th till December 7th, 2014. We will do out best to have mostly oral presentations of the selected contributions, both plenary and in parallel sessions. However, we are probably going to have a poster session as well. During the submission process, you will be asked to specify whether your contribution is intended for a) Plenary session presentation, b) Parallel session presentation or c) Poster session presentation. The final allocation of each contribution will be decided by the Program Committee. CONTACT For any question you might have please contact Prof. Santo Fortunato (santo.fortunato at aalto.fi) From rousseauronald at GMAIL.COM Mon Dec 1 13:12:50 2014 From: rousseauronald at GMAIL.COM (Ronald Rousseau) Date: Mon, 1 Dec 2014 19:12:50 +0100 Subject: Garfield doctoral disseration award Message-ID: Dear Colleagues, May I remind you to draw the attention of your doctoral students to this important award. Details can be found at the ISSI conference website: http://www.issi2015.org/en/ Wishing you and your students all the best. Deadline for submission is end January 2015. Friendly greetings, Ronald Rousseau President ISSI -------------- next part -------------- An HTML attachment was scrubbed... URL: From cassidysugimoto at GMAIL.COM Sat Dec 6 10:35:50 2014 From: cassidysugimoto at GMAIL.COM (Cassidy Sugimoto) Date: Sat, 6 Dec 2014 10:35:50 -0500 Subject: iConference registration Message-ID: ************************************************************* *iConference 2015: Early-bird registration available through Jan. 15, 2015* 24-27 March, 2015, Newport Beach, California, USA Conference Home: http://ischools.org/the-iconference/ ************************************************************* iConference 2015 registration is now open. Discounted early rates are available through Jan. 15, 2015. Register today to secure the early rate! The iConference is an international gathering of scholars and researchers concerned with critical information issues in contemporary society. iConference 2015 will take place March 24-27, 2015, at the Newport Beach Marriott Hotel and Spa . The iConference pushes the boundaries of information studies, explores core concepts and ideas, and creates new technological and conceptual configurations?all situated in interdisciplinary discourses. All information scholars, researchers and practitioners are welcome. The official iConference 2015 schedule will be posted soon, and includes the following: ? Keynote addresses by noted luminaries Christine L. Borgman, Carole Goble, and Scott E. Page. ? 51 completed research papers offering new and interesting perspectives on key topics in the information field. ? 40 preliminary results papers that explore developing thinking and perspectives. ? Nearly 100 poster presentations by present and future thought-leaders in the field. ? 12 workshops providing a meaningful and immersive experience in specific areas of study. ? 8 thought-provoking sessions for interaction and engagement. ? Myriad socializing and networking opportunities, including our evening Opening Reception, and also our Banquet Dinner at the waterfront Newport Dunes. ? Special meetings for iSchools leadership, staff, and practitioners. ? The student Social Media Expo , presentation of the annual iSchools Doctoral Dissertation Award , and much, much more! Registration is open now. Participants are also encouraged to book their lodging in our specially priced room block at the conference hotel. See our Accommodations Page for details. iConference 2015 is presented by the iSchools and hosted by University of California, Irvine: The Donald Bren School of Information and Computer Sciences . The conference champion sponsors are Microsoft Research and UCI Hana Lab ; contributors include Facebook and Nokia; additional support provided by Google, Morgan & Claypool Publishers, the UCI Donald Bren School of Information and Computer Sciences, the University of Tennessee, Knoxville, and UCI Newkirk Center. Conference Home: http://ischools.org/the-iconference/ -- Cassidy R. Sugimoto, PhD Assistant Professor School of Informatics and Computing Indiana University Bloomington http://ella.slis.indiana.edu/~sugimoto -------------- next part -------------- An HTML attachment was scrubbed... URL: From Nsmalheiser at PSYCH.UIC.EDU Mon Dec 8 16:37:11 2014 From: Nsmalheiser at PSYCH.UIC.EDU (Smalheiser, Neil) Date: Mon, 8 Dec 2014 15:37:11 -0600 Subject: new Arrowsmith one-node search tool is live Message-ID: We have maintained a free, public Arrowsmith two-node search tool http://arrowsmith.psych.uic.edu/arrowsmith_uic/index.html for over a decade. Now, at long last, we have implemented a one-node search tool and invite feedback and suggestions. Whereas the Arrowsmith two-node literature tool is designed for scientists to ASSESS a hypothesis relating two literatures A and C, the one-node tool is designed to help scientists FIND a promising hypothesis in the first place. For example, given an existing drug, one may wish to repurpose it, i.e., find some disease which has NOT previously been treated with the drug, yet may be promising in this regard. Conversely, for a given disease, one may wish to find drugs which have never been used to treat the disease, but which would be promising to try, based on the fact that the disease exhibits a list of multiple phenotypes or molecular alterations that are also affected (in reverse direction) by the drug [1]. Our late colleague Don Swanson had hosted a one-node search tool, but it was small scale and not user-friendly, and the web service was not maintained. We have now programmed a novel version of the one-node search tool that was proposed in [2]. The user enters a PubMed search for the A literature, representing a problem domain (e.g. Huntington disease). Next, the user will be prompted to choose a category of Medical Subject Headings (MeSH) to search within, which encompass a set of literatures describing entities (or classes of entities) that represent possible approaches or solutions to the problem. (Alternatively, the user can choose the Free Format option, to enter a list of PubMed search queries, one on each line.) For example, to search among different classes of drugs according to their molecular mechanism using the MeSH Tree option, the user would drill down from Chemicals and Drugs to Chemical Actions and Uses to Pharmacologic Actions to finally, Molecular Mechanisms of Pharmacological Action [D27.505.519]. This category includes about twenty classes of drugs, including Alkylating Agents [D27.505.519.124], Angiotensin Receptor Antagonists [D27.505.519.162], Antacids [D27.505.519.170], Antifoaming Agents [D27.505.519.178], and so on. Once the user chooses this MeSH term category, the software will carry out a series of two-node searches, each consisting of A = Huntington disease vs. C = one of the drug classes. These two-node searches are characterized according to the total number of articles in A and C (and nAC, the intersection of A and C), as well as the total number of B-terms and pR, the percentage of B-terms that are predicted to be relevant for meaningful linkage. The two-node search results are all individually stored temporarily by job ID so users can go back without needing to re-run the search each time. For screening purposes, we suggest that a promising C-literature can be regarded as one that has a very low nAC value (that is, has not been studied much in the context of the A-literature previously) but a very high pR value (that is, the A and C literature share a lot of implicit information [3]). Note that pR values < 0.1 are probably at chance levels whereas a pR value > 0.3 is reasonably high [3]. Once an interesting pair of literatures has been found, then one needs to examine in detail how the B-terms link the A and C-literatures and what it means! Often, an initial one-node search may be followed by additional one-node searches (i.e., choosing progressively more specific MeSH categories). As specific candidates are identified, two-node searches, other literature searches, and pragmatic considerations are needed to assess how promising the candidate is for further study. References: 1. Swanson DR, Smalheiser NR. An interactive system for finding complementary literatures: a stimulus to scientific discovery. Artificial Intelligence 1997; 91: 183-203. 2. Smalheiser NR. Literature-based discovery: beyond the ABCs. J. Am. Information Sci. Technol. 2011. 63: 218-224. 3. Torvik VI, Smalheiser NR. A quantitative model for linking two disparate sets of articles in Medline. Bioinformatics 2007; 23(13): 1658-1665. Neil R. Smalheiser, MD, PhD University of Illinois at Chicago Psychiatric Institute MC912 1601 W. Taylor Street Chicago, IL 60612 312-413-4581 http://arrowsmith.psych.uic.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From notsjb at LSU.EDU Tue Dec 9 11:53:37 2014 From: notsjb at LSU.EDU (Stephen J Bensman) Date: Tue, 9 Dec 2014 16:53:37 +0000 Subject: EU-US Scientometric Bifurcation Message-ID: My recent research into the development of the WWW, academic search engines, and the way they are revolutionizing the scientific information system, integrating social media and science into Science 2.0, made The Wall Street Journal article below of extreme interest to me. This is particularly important as Google Scholar has started a revolutionary way of profiling researchers and what GS defines as serial-type publications into an equivalent JCR. This will seriously alter the way science/scholars will be evaluated. It seems from this article that there may be bifurcation between the "Anglo-Saxons" and Continentals on these matters as in others. Anyhow I would appreciate your comments on this WJJ article, if you have any. Stephen J Bensman, Ph.D. LSU Libraries Lousiana State University Baton Rouge, LA 70803 USA The Wall Street Journal. December 9. 2014 U.S. Tech Giants Battle Europe's Sovereign States Discontent on Continent Highlights Battle Over Economics, Culture, Internet Control By Tom Fairless Updated Dec. 8, 2014 9:03 p.m. ET BRUSSELS-From Berlin to Madrid, from London to Paris, U.S. technology companies are in a pitched battle with Europe's sovereign states. It is a clash that pits governments against the new tech titans, established industries against upstart challengers, and freewheeling American business culture against a more regulated European framework. And it poses one of the greatest threats to U.S. technology giants since their emergence from garages and college campuses over the past four decades. First and foremost, the battle is about economics. Europe's policymakers, accustomed to controlling key sectors of their economies, are struggling to get a handle on the fast-moving newcomers from across the ocean. Growth is weak and government revenues soft, and they see profits that once accrued to European industries from retail to media to taxicabs, being diverted-often lightly taxed-to Silicon Valley. They worry that critical industries such as autos may fall next. The U.S. firms loom large. The market valuation of five U.S. tech firms- Apple Inc., Amazon.com Inc., Facebook Inc., Google Inc. and Microsoft Corp. -is $1.8 trillion. That compares to $1.3 trillion for all 30 blue-chip companies in the DAX index in Germany, Europe's largest economy. "Europeans have got everything to lose" from the rise of U.S. technology firms, said Paul Stoneman, emeritus professor at Warwick Business School and a former U.K. antitrust official. * It is also a clash about values: Silicon Valley's default setting of light regulation is colliding with the greater European emphasis on preserving individual privacy. And perhaps most fundamentally, it is about control of the Internet, the world's common connection and crucial economic engine that is viewed as being under the sway of the U.S. This exploded following the revelations by Edward Snowden of widespread U.S. government surveillance of Americans and Europeans-sometimes via U.S. company data and telecommunications networks. Since then, Europeans have been striking back, with skirmishes occurring almost daily. A Dutch court on Monday banned an Uber Technologies Inc. ride-sharing service from operating in the Netherlands; British Finance Minister George Osborne last week announced a new "Google tax" aimed squarely at U.S. technology companies; a week earlier, French and German officials called for a public consultation on the behavior of big U.S. tech firms; and the European Parliament has approved a resolution calling for a possible breakup of Google on antitrust grounds. Uber said it would continue to offer the service in the Netherlands. Google declined to comment. U.S. companies were stunned by a decision from the European Court of Justice in Luxembourg in May that Europeans had an online "right to be forgotten" and have potentially damaging references removed from search results. The U.S. Constitution would appear to prohibit such a provision in the U.S., but Europe's national privacy regulators went further last month, recommending that search engines should apply the ruling to all their websites, not just in Europe. The headwinds have become a big risk for U.S. tech companies as they look outside their home country to maintain rapid growth. On Wall Street, analysts increasingly talk of regulation as one of the few existential threats to Internet leaders, such as Google, which have been riding a powerful wave of rising Web use. Bank of America Merrill Lynch analyst Justin Post downgraded Google shares Friday, citing European regulatory risk. The EU's attempt to regulate Google's search results could prevent the company releasing aggressive new products in this area, he said. Google shares are down at least 5% so far this year, after surging more than 75% in 2012 and 2013 combined. The Web sector has faced problems in other regions before, notably China, which blocks many Google and Facebook services and makes it difficult for other U.S. tech firms to compete with local rivals. But Europe's complaints focus on issues and processes that form an important part of the foundations upon which these companies are built. Beyond search, Europe's focus on data privacy and its reaction to Mr. Snowden's revelations could limit how much information U.S. tech companies can collect about consumers in the region and how they use it. This data is the fuel that drives the online advertising and commerce machines that Google, Facebook and Amazon have spent years honing and monetizing. Rising calls for these companies to house such information in local data centers in Europe could make these machines more expensive to run. "I wouldn't say it's panic. But there's increased urgency among U.S. tech companies to make sure they're on the ground there to explain how their services and products work and how that will benefit users," said Dan O'Connor, vice president of public policy at the Computer & Communications Industry Association, which is funded by and lobbies on behalf of large tech companies, including Google, Microsoft and Facebook. In the past, U.S. tech companies would build new products and services and deal with any regulatory and political problems later. But now these companies are trying to tackle such issues ahead of time because the cost of uncertainty in their European businesses is too high, he added. A Google spokeswoman declined to comment and a Facebook spokesman declined to comment. Microsoft did not respond to requests for comment. The battle raises important questions over whether the Internet will fragment as governments seek to keep data out of Washington's hands. Unless U.S. snooping is reined in, "the movement towards a truncated Internet will be difficult to stop," according to a report published Monday by the Council of Europe. U.S. companies recognize this as a threat. Earlier this year, Facebook chief executive Mark Zuckerberg said in a Facebook post that he had called President Barack Obama to express his "frustration" over the "repeated reports of the behavior of the U.S. government," which undermine trust in U.S. businesses abroad. The National Security Agency said a recent report on the agency's alleged use of false Facebook servers was inaccurate. Both sides invoke higher values. Speaking Monday in support of a proposed tough new European data-protection regulation, French Prime Minister Manuel Valls warned that "democratic values must prevail." For their part, the tech giants don't hide their ambitions. "We don't wish to be constrained as just ads and search," Google's executive chairman Eric Schmidt told an audience in London in October. "As long as we're on the right side of producing value for citizens of the world we're on the right side of history." The stakes are huge: Half of all productivity growth in Europe comes from investment in information and communication technology, according to a report published in March by the European Commission, the EU's executive arm. "We recognize that innovation improves our lives, but we want a level playing field," said Ramon Tremosa i Balcells, a centrist European Parliament lawmaker from Spain, who backed the resolution calling for a breakup of Google. "We are just reflecting the concerns of European consumers and European enterprises." The fears often have crystallized around Google, which has been embroiled in a series of dust-ups in France, Germany and Spain over its tax, privacy and copyright policies, as well as a long-running European antitrust probe. But U.S. tech firms have also been hit. Big American companies are depicted as suffocating local competition while pursuing aggressive tax-avoidance strategies. Amazon and Apple are embroiled in EU investigations over their tax affairs. Uber has fought multiple efforts to shut it down amid accusations it flouts the law in France and other countries by using drivers without professional licenses. Amazon and Apple have denied they received selective tax treatment from governments. Nicolas Petit, a law professor at the University of Li?ge in Belgium, said: "The demand for government intervention in the economy hasn't been so high in Europe since the early 1970s." To some experts, the European backlash is protectionism in a new guise that will only further stifle growth. "Why discriminate against a superior form of service provision?" said Vivek Ghosal, professor at the School of Economics at Georgia Institute of Technology. "It is a problem in parts of Europe due to its regulatory-heavy focus. Protecting cozy jobs seems to be a part of life." In a letter last month, four senior Senators and Congressmen told European Parliament President Martin Schulz that they were "increasingly concerned by the appearance of a trend...towards discriminating against foreign companies with respect to the digital economy." They urged Mr. Schulz to consider the effect such policies might have on Europe's negotiations with the U.S. over a free-trade deal. To be sure, battles between established industries and disruptive upstarts have also been playing out in the U.S., where Uber and home-rental service Airbnb Inc. have clashed with regulators over their business models.. And some U.S. firms themselves are exploiting the European tensions to attack rivals. Microsoft has been a driving force behind the antitrust campaign against Google in Brussels, while Oracle Corp. is another member of the Fairsearch alliance that has actively agitated against Google. Europeans say it's a matter of giving local firms a fighting chance. "We also want existing European companies to have the possibility to develop and do the job," Mr. Tremosa said of online search. Yet, many problems facing European start-ups are homegrown. Taxes and employment rules are often onerous and the continent suffers a shortage of risk capital in a financial system heavily geared toward bank lending. "The public subsidies for debt are high in Europe and equity is taxed far more heavily than in the U.S.," says Xavier Rolet , chief executive of the London Stock Exchange Group . For big European companies with clout in Europe's corridors of power, their traditional business-expansion model is threatened. Europe's telecom giants, for instance, lobbied regulators for years to ease price caps and competition rules to allow them to grow. But they are now being challenged by so-called over-the-top players such as messaging service WhatsApp, which use the incumbents' infrastructure to provide lower-cost, high-value alternatives. Some policymakers worry that the same could happen to key industries such as automobile manufacturing. Under the European model, a car maker like BMW would build out in-house digital networks to run its smart cars. But auto makers worry they may be outplayed if Google develops a better network to run the cars. "The economic rents of previous incumbents in many local markets are quickly disappearing and giving huge advantages to the best product, service or process," the commission wrote in its March report. -Alistair Barr contributed to this report. Write to Tom Fairless at tom.fairless at wsj.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From Philipp.Mayr-Schlegel at GESIS.ORG Wed Dec 10 09:09:33 2014 From: Philipp.Mayr-Schlegel at GESIS.ORG (Mayr-Schlegel, Philipp) Date: Wed, 10 Dec 2014 14:09:33 +0000 Subject: 2nd CFP: workshop on Bibliometric-enhanced Information Retrieval (BIR2015) @ECIR 2015 Message-ID: == Second Call for Papers == You are invited to participate in the upcoming 2nd workshop on Bibliometric-enhanced Information Retrieval (BIR2015), to be held as part of the 37th European Conference on Information Retrieval (ECIR). http://www.gesis.org/en/events/events-archive/conferences/ecirworkshop2015/ === Important Dates === - Submissions: 25 January 2015 - Notification: 27 February 2015 - Camera Ready Contributions: 13 March 2015 - Workshop: 29 March 2015 in Vienna, Austria === Aim of the Workshop === In this second workshop we aim to engage with the IR community about possible links to bibliometrics and complex network theory which also explores networks of scholarly communication (see papers and presentations of the first workshop http://www.gesis.org/en/events/events-archive/conferences/ecirworkshop2014/). Bibliometric techniques are not yet widely used to enhance retrieval processes in digital libraries, yet they offer value-added effects for users. Our interests include information retrieval, information seeking, science modelling, network analysis, and digital libraries. The goal is to apply insights from bibliometrics, scientometrics, and informetrics to concrete practical problems of information retrieval and browsing. Retrieval evaluations have shown that simple text-based retrieval methods scale up well but do not progress. Traditional retrieval has reached a high level in terms of measures like precision and recall, but scientists and scholars still face challenges present since the early days of digital libraries: mismatches between search terms and indexing terms, overload from result sets that are too large and complex, and the drawbacks of text-based relevance rankings. Therefore we will focus on statistical modelling and corresponding visualizations of the evolving science system. Such analyses have revealed not only the fundamental laws of Bradford and Lotka, but also network structures and dynamic mechanisms in scientific production. Statistical models of scholarly activities are increasingly used to evaluate specialties, to forecast and discover research trends, and to shape science policy. Their use as tools in navigating scientific information in public digital libraries is a promising but still relatively new development. We will explore how statistical modelling of scholarship can improve retrieval services for specific communities, as well as for large, cross-domain collections. Some of these techniques are already used in working systems but not well integrated in larger scholarly IR environments. The availability of new IR test collections that contain citation and bibliographic information like the iSearch collection or the ACL collection could deliver enough ground to interest (again) the IR community in these kind of bibliographic systems. The long-term research goal is to develop and evaluate new approaches based on informetrics and bibliometrics. The aim of this workshop is to bring together researchers and practitioners from different domains, such as information retrieval, information seeking, science modelling, bibliometrics, scientometrics, network analysis, digital libraries, and approaches to visualize search and retrieval to move toward a deeper understanding of this research challenge. This workshop is also informed by an ongoing COST Action TD1210 KnowEscape. http://www.knowescape.org === Workshop Topics === To support the previously described goals the workshop topics include (but are not limited to) the following: - IR for digital libraries and scientific information portals - IR for scientific domains, e.g. social sciences, life sciences etc. - Information Seeking Behaviour - Bibliometrics, citation analysis and network analysis for IR - Query expansion and relevance feedback approaches - Science Modelling (both formal & empirical) - Task based user modelling, interaction, and personalisation - (Long-term) Evaluation methods and test collection design - Collaborative information handling and information sharing - Classification, categorization and clustering approaches - Information extraction (including topic detection, entity and relation extraction) - Recommendations based on explicit and implicit user feedback We especially invite descriptions of running projects and ongoing work as well as contributions from industry. Papers that investigate multiple themes directly are especially welcome. === Submission Details === All submissions must be written in English following Springer LNCS author guidelines (4 to 8 pages) and should be submitted as PDF files to EasyChair. All submissions will be reviewed by at least two independent reviewers. Please be aware of the fact that at least one author per paper needs to register for the workshop and attend the workshop to present the work. In case of no-show the paper (even if accepted) will be deleted from the proceedings AND from the program. Springer LNCS: http://www.springer.com/lncs EasyChair: https://easychair.org/conferences/?conf=bir20150 Workshop proceedings will be deposited online in the CEUR workshop proceedings publication service (ISSN 1613-0073) - This way the proceedings will be permanently available and citable (digital persistent identifiers and long term preservation). === Organizers === Philipp Mayr, GESIS - Leibniz Institute for the Social Sciences, Germany Ingo Frommholz, University of Bedfordshire in Luton, UK Peter Mutschke, GESIS - Leibniz Institute for the Social Sciences, Germany Andrea Scharnhorst, DANS, Royal Netherlands Academy of Arts and Sciences in Amsterdam, Netherlands === Programm Committee === Jos? Borbinha, INESC-ID/IST (Portugal) Guillaume Cabanac, University of Toulouse (France) Cornelia Caragea, University of North Texas (USA) Martine De Cock, University of Washington Tacoma (USA) Ed A. Fox, Virginia Tech (USA) Norbert Fuhr, University of Duisburg-Essen(Germany) Bj?rn Hammarfelt, University of Bor?s (Sweden) Peter Ingwersen, University of Copenhagen (Denmark) C. Lee Giles, Pennsylvania State University (USA) Birger Larsen, Aalborg University (Denmark) Claus-Peter Klas, GESIS (Germany) Kris Jack, Mendeley (UK) Stasa Milojevic, Indiana University (USA) Philipp Schaer, GESIS (Germany) Henry Small, SciTech Stategies (USA) Lynda Tamine-Lechani, University Paul Sabatier (France) Ulrich Thiel, Fraunhofer IPA-PAMB, Mannheim (Germany) Simone Teufel, University of Cambridge (UK) Howard D. White, Drexel University (USA) Ludo Waltman, CWTS (NL) Dietmar Wolfram, University of Wisconsin (USA) Become a sowiport user! Register here: http://sowiport.gesis.org/ -- Dr. Philipp Mayr Team Leader GESIS - Leibniz Institute for the Social Sciences Unter Sachsenhausen 6-8, D-50667 K?ln, Germany Tel: + 49 (0) 221 / 476 94 -533 Email: philipp.mayr at gesis.org Web: http://www.gesis.org New: sowiport search engine on VuFind http://sowiport.gesis.org/ New: SSOAR fulltext repository on DSpace http://ssoar.info/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From anupdas2072 at GMAIL.COM Thu Dec 11 07:53:23 2014 From: anupdas2072 at GMAIL.COM (anup kumar das) Date: Thu, 11 Dec 2014 18:23:23 +0530 Subject: Just Published "India: Science and Technology 2014" by CSIR=?UTF-8?Q?=E2=80=93NISTADS=2C_?= volume 3, Message-ID: Just Published *"India: Science and Technology" by CSIR?NISTADS, volume 3, PB, ISBN: 9789384463045, *Rs.4000, US$145, Cambridge University Press, New Delhi, *Book Review*: http://www.amazon.in/review/R1DO039WSU25V5/ In book titled "*India - Science and Technology*" (volume 3) edited by National Institute of Science, Technology and Development Studies (CSIR-NISTADS), various scholars and policy analysts discuss different dimensions of the Indian science, technology and innovation (STI). This book is systematically organized into four themes: (a) S&T Human Resources, (b) S&T and Industry, (c) S&T Outputs and (d) Rural India: S&T for Skills and Employment. Some of the remarkable chapters included in this volume are namely: Open Educational Resources: Policy Perspectives and National Initiatives; National Scientific Data Frameworks and Knowledge Portals; Open Access to Scientific Knowledge: Policy Perspectives and National Initiatives, written by Dr. Anup Kumar Das. This is the biennial report, while its earlier versions were published in 2008 (volume 1) and 2012 (volume 2) co-published by CSIR-NISTADS. This book is helpful for scholars in science and public policies, S&T policymakers, policy analysts, educationists, and institution builders. *Further Details*: http://www.cambridgeindia.org/showbookdetails1.asp?ISBN=9789384463045 *Cover Page Image*: https://twitter.com/cambridgeindia/status/518256805181657089/photo/1 [Apologies for Cross Postings] -------------- next part -------------- An HTML attachment was scrubbed... URL: From anupdas2072 at GMAIL.COM Tue Dec 16 05:16:18 2014 From: anupdas2072 at GMAIL.COM (anup kumar das) Date: Tue, 16 Dec 2014 15:46:18 +0530 Subject: Call for Papers: 'A Manifesto for Cyborgs Thirty-Years on: Gender, Technology and Feminist-Technoscience in the Twenty-First Century' Message-ID: [Apologies for cross postings] Call for Papers:'*A Manifesto for Cyborgs* thirty-years on: Gender, Technology and Feminist-Technoscience in the twenty-first century' Abstracts due: 27th of February, 2015 Editor: Thao Phan In her iconic essay *A Manifesto for Cyborgs: Science, Technology and Socialist-Feminism in the 1980s*, Donna Haraway introduced the metaphor of the cyborg as an ?ironic political myth? to critique the so far troubling narratives of the West. Published in the *Socialist Review* in 1985, it brings together a broad spectrum of literacies?from socialist-feminism, to cybernetics and biopolitics?to proffer a cutting criticism of Enlightenment humanism, gender essentialism, and military technoscience. Her provocations created a useful framework to destabilise rigid boundaries and make fluid the borderlines between human and animal, organism and machine, natural and artificial, semiotic and material. Today the Manifesto sits comfortably as part of the canon of feminist-technoscience and postmodern theory. Although as an oppositional figure the cyborg is bounded by a historical specificity, it has certainly found new significance and politics in the contemporary age of ubiquitous media. To mark the 30th anniversary since its publication, *Platform* invites authors whose work resonates or responds to themes expounded in this seminal essay. With the benefit of thirty years? hindsight, what new observations or critical assessments can be made in regards to the cyborg as a feminist, tropic figure? Did the cyborg fulfill its promise of an ?historical transformation?? Is the figure of the cyborg still as useful today, given contemporary technological developments? Or, conversely, do we need myths like Haraway?s now more than ever? We encourage the submission of theoretical or empirical work engaging with applications of, or criticisms of, frameworks used by Haraway, and are particularly interested in critical papers that provide novel insights into the relation between gender and technoscience. Potential topics may include, but are not limited to: - Cyborg subjectivities in the 21st century - Gendered tropes in technology - Novel readings of gender and technoscience - Trans/queer studies of technology - Feminist science and/or feminist science and technology studies - Posthuman subjectivities - Postgender politics and subjectivities of 'affinity' - Multiple or fractured readings of the cyborg - Technologies of sex and gender - Technologies of race and identity - Critical studies of the body/embodiment - Feminist histories/historiographies of media, technology or computation - The informatics of domination - Biotechnologies and Artificial Intelligence - Feminism and accelerationist politics - Feminism and new materialisms In addition to this special section, we also welcome submissions that more broadly deal with issues relating to the areas of media, technology, and communication in theoretical or critical terms. Please send all enquiries and submissions to platformjmc at gmail.com. Abstracts must be accompanied by a brief *curriculum vitae* and biographical note, and should not exceed 350 words. We recommend that prospective authors submit abstracts well before the abstract deadline of 27th of February, 2015, in order to allow for feedback and suggestions from the editors. All submissions should be from early career researchers (defined as being within a few years of completing their PhD) or current graduate students undertaking their Masters, PhD, or international equivalent. All eligible submissions will be sent for double-blind peer-review. Early submission is highly encouraged as the review process will commence on submission. Note: Please read the submission guidelines before submitting work. Submissions received not in house style will not be accepted and authors will be asked resubmit their work with the correct formatting before it is sent for review. - See more at: http://journals.culture-communication.unimelb.edu.au/platform/call_papers.html -- *With Best RegardsAnupAssistant Editor, Journal of Scientometric Research , http://www.jscires.org/ Instructions to the Authors: http://www.jscires.org/contributors.asp * -------------- next part -------------- An HTML attachment was scrubbed... URL: From loet at LEYDESDORFF.NET Tue Dec 16 09:16:40 2014 From: loet at LEYDESDORFF.NET (Loet Leydesdorff) Date: Tue, 16 Dec 2014 15:16:40 +0100 Subject: Does Quality Matter for Citedness? A comparison with para-textual factors and over time. (preprint) Message-ID: Does Quality Matter for Citedness? A comparison with para-textual factors and over time Lutz Bornmann* and Loet Leydesdorff Abstract: Using (binomial) regression analysis, we run models using citation windows of one to ten years with both annual citation and cumulative citations as dependent variables, and with both bibliometric and quality indicators (judgments of peers) as independent variables. The bibliometric variables are the journal impact factor (JIF) of the publication medium, the numbers of authors and pages, and the statistical citedness of the references used within the paper. We find that the JIF and the number of authors have a larger influence on the citation impact of a publication than the quality (measured by judgments of peers). However, the number of pages and the quality of the references are less influential. The influence of JIF and the number of authors peaks after three years and then declines, but remains higher than the influence of quality even after ten years. These results call into question a discrepancy between the algorithmically based indicators and the qualitative judgments by experts. The latter seems less predictive for future citation than a combination of algorithmic constructs. Preprint available at: http://figshare.com/articles/Does_Quality_Matter_for_Citedness_A_comparison_ with_para_textual_factors_and_over_time/1269182 ** apologies for cross-postings _____ Loet Leydesdorff Emeritus University of Amsterdam Amsterdam School of Communications Research (ASCoR) loet at leydesdorff.net ; http://www.leydesdorff.net/ Honorary Professor, SPRU, University of Sussex; Guest Professor Zhejiang Univ., Hangzhou; Visiting Professor, ISTIC, Beijing; Visiting Professor, Birkbeck, University of London; http://scholar.google.com/citations?user=ych9gNYAAAAJ&hl=en -------------- next part -------------- An HTML attachment was scrubbed... URL: From amsciforum at GMAIL.COM Wed Dec 17 09:03:25 2014 From: amsciforum at GMAIL.COM (Stevan Harnad) Date: Wed, 17 Dec 2014 09:03:25 -0500 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 Message-ID: Steven Hill of HEFCE has posted ?an overview of the work HEFCE are currently commissioning which they are hoping will build a robust evidence base for research assessment? in LSE Impact Blog 12(17) 2014 entitled Time for REFlection: HEFCE look ahead to provide rounded evaluation of the REF Let me add a suggestion, updated for REF2014, that I have made before (unheeded): Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Excellence Framework (REF) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, tweets, tags, etc.) can all be tested and validated jointly, discipline by discipline, against their REF panel rankings in REF2014. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster. Harnad, S. (2009) Open Access Scientometrics and the UK Research Assessment Exercise . *Scientometrics* 79 (1) Also in *Proceedings of 11th Annual Meeting of the International Society for Scientometrics and Informetrics* 11(1), pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. (2007) -------------- next part -------------- An HTML attachment was scrubbed... URL: From harnad at ECS.SOTON.AC.UK Wed Dec 17 10:14:38 2014 From: harnad at ECS.SOTON.AC.UK (Stevan Harnad) Date: Wed, 17 Dec 2014 10:14:38 -0500 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: Message-ID: > On Dec 17, 2014, at 9:35 AM, Jon Crowcroft wrote: > > if you wanted to do this properly, you should have to take a lot of outputs that were NOT submitted and run any metric scheme on them as well as those submitted. > too late:) Not too late. REF2014 gives the 2014 ranking based on the 4 outputs submitted. That is then the criterion against which the many the other metrics I list below can be jointly validated, through multiple regression, to initialize their weights for REF2020, as well as for other assessments. In fact, open access metrics can be ? and will be ? continuously assessed, as open access grows. And as the metric equation (per discipline) is optimized for predictive power, it can replace the peer rankings (except for periodic cross-checks and updates). > On Wed, Dec 17, 2014 at 2:26 PM, Stevan Harnad > wrote: > Steven Hill of HEFCE has posted ?an overview of the work HEFCE are currently commissioning which they are hoping will build a robust evidence base for research assessment? in LSE Impact Blog 12(17) 2014 entitled Time for REFlection: HEFCE look ahead to provide rounded evaluation of the REF > > Let me add a suggestion, updated for REF2014, that I have made before (unheeded): > > Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Excellence Framework (REF) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, tweets, tags, etc.) can all be tested and validated jointly, discipline by discipline, against their REF panel rankings in REF2014. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster. > > Harnad, S. (2009) Open Access Scientometrics and the UK Research Assessment Exercise . Scientometrics 79 (1) Also in Proceedings of 11th Annual Meeting of the International Society for Scientometrics and Informetrics 11(1), pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. (2007) > > See also: > The Only Substitute for Metrics is Better Metrics (2014) > and > On Metrics and Metaphysics (2008) -------------- next part -------------- An HTML attachment was scrubbed... URL: From harnad at ECS.SOTON.AC.UK Wed Dec 17 10:38:37 2014 From: harnad at ECS.SOTON.AC.UK (Stevan Harnad) Date: Wed, 17 Dec 2014 10:38:37 -0500 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: <5B448ACB-060A-452A-987B-430E65274724@york.ac.uk> Message-ID: > On Dec 17, 2014, at 9:54 AM, Alan Burns wrote: > > Those that advocate metrics have never, to at least my satisfaction, answered the > argument that accuracy in the past does not mean effectiveness in the future, > once the game has changed. I recommend Bradley on metaphysics and Hume on induction : "The man who is ready to prove that metaphysical knowledge is wholly impossible? is a brother metaphysician with a rival theory ? Bradley, F. H. (1893) Appearance and Reality One could have asked the same question about apples continuing to fall down in future, rather than up. Yes, single metrics can be abused, but not only van abuses be named and shamed when detected, but it become harder to abuse metrics when they are part of a multiple, inter-correlated vector, with disciplinary profiles on their normal interactions: someone dispatching a robot to download his papers would quickly be caught out when the usual correlation between downloads and later citations fails to appear. Add more variables and it gets even harder, > Even if one was able to define a set of metrics that perfectly matches REF2014. > The announcement that these metric would be used in REF2020 would > immediately invalidate there use. In a weighted vector of multiple metrics like the sample I had listed, it?s no use to a researcher if told that for REF2020 the mertic equation will be the following, with the following weights for their particular discipline: w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) w6(hits) +w7(cite-peak-latency) + w8(hit-peak-latency) +w9(citedecay) +w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), +w25(comments) + w26(acad-likes) etc. etc. The potential list could be much longer, and the weights can be positive or negative, and varying by discipline. "The man who is ready to prove that metric knowledge is wholly impossible? is a brother metrician with rival m etrics?? > On 17 Dec 2014, at 14:35, Jon Crowcroft > wrote: > >> if you wanted to do this properly, you should have to take a lot of outputs that were NOT submitted and run any metric scheme on them as well as those submitted. >> too late:) >> >> On Wed, Dec 17, 2014 at 2:26 PM, Stevan Harnad > wrote: >> Steven Hill of HEFCE has posted ?an overview of the work HEFCE are currently commissioning which they are hoping will build a robust evidence base for research assessment? in LSE Impact Blog 12(17) 2014 entitled Time for REFlection: HEFCE look ahead to provide rounded evaluation of the REF >> >> Let me add a suggestion, updated for REF2014, that I have made before (unheeded): >> >> Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Excellence Framework (REF) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, tweets, tags, etc.) can all be tested and validated jointly, discipline by discipline, against their REF panel rankings in REF2014. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster. >> >> Harnad, S. (2009) Open Access Scientometrics and the UK Research Assessment Exercise . Scientometrics 79 (1) Also in Proceedings of 11th Annual Meeting of the International Society for Scientometrics and Informetrics 11(1), pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. (2007) >> >> See also: >> The Only Substitute for Metrics is Better Metrics (2014) >> and >> On Metrics and Metaphysics (2008) > -------------- next part -------------- An HTML attachment was scrubbed... URL: From harnad at ECS.SOTON.AC.UK Wed Dec 17 12:34:39 2014 From: harnad at ECS.SOTON.AC.UK (Stevan Harnad) Date: Wed, 17 Dec 2014 12:34:39 -0500 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: <99F4CF627BC4744E9D1EFF1946CD8DB5B4ED13EE@HW-MBX-01.hw.ac.uk> Message-ID: On Dec 17, 2014, at 12:15 PM, Taylor, Nicholas K wrote: > > Why should the REF 2014 panellists become the Gold Standard? No disrespect but I would venture to suggest that even they would not see themselves as the optimal arbiters for all time. REF 2014 is certainly not the gold standard for all, or for all time ? but it?s clearly going to be the standard for doling out the 2014 REF gold! And as such, it is just fine for also initializing the weights on a first approximation to a REF 2020 metric equation: REF2020Rank = w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) + w6(hits) + w7(cite-peak-latency) + w8(hit-peak-latency) + w9(citedecay) + w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), + w25(comments) + w26(acad-likes) etc. etc. There?s plenty of time between now and 2020 to keep optimizing the equation, discipline by discipline, updating the initial weights as well as adding more metrics to the battery. Stevan > From: Council of Professors and Heads of Computing in UK universities [mailto:cphc-members at JISCMAIL.AC.UK ] On Behalf Of Stevan Harnad > Sent: 17 December 2014 14:27 > To: cphc-members at JISCMAIL.AC.UK > Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 > > Steven Hill of HEFCE has posted ?an overview of the work HEFCE are currently commissioning which they are hoping will build a robust evidence base for research assessment? in LSE Impact Blog 12(17) 2014 entitled Time for REFlection: HEFCE look ahead to provide rounded evaluation of the REF > > Let me add a suggestion, updated for REF2014, that I have made before (unheeded): > > Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Excellence Framework (REF) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, tweets, tags, etc.) can all be tested and validated jointly, discipline by discipline, against their REF panel rankings in REF2014. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster. > > Harnad, S. (2009) Open Access Scientometrics and the UK Research Assessment Exercise . Scientometrics 79 (1) Also in Proceedings of 11th Annual Meeting of the International Society for Scientometrics and Informetrics 11(1), pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. (2007) > > See also: > The Only Substitute for Metrics is Better Metrics (2014) > and > On Metrics and Metaphysics (2008) > > > > We invite research leaders and ambitious early career researchers to join us in leading and driving research in key inter-disciplinary themes. Please see www.hw.ac.uk/researchleaders for further information and how to apply. > > Heriot-Watt University is a Scottish charity registered under charity number SC000278. -------------- next part -------------- An HTML attachment was scrubbed... URL: From loet at LEYDESDORFF.NET Wed Dec 17 13:58:23 2014 From: loet at LEYDESDORFF.NET (Loet Leydesdorff) Date: Wed, 17 Dec 2014 19:58:23 +0100 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: Message-ID: Dear Steven, Since you have said this so many times and for so many years, I assumed that you would have done this for REF2014. Did you? Are you calling for this to be done, or is this your own research program for the next few years? Best, Loet _____ Loet Leydesdorff Emeritus University of Amsterdam Amsterdam School of Communications Research (ASCoR) loet at leydesdorff.net ; http://www.leydesdorff.net/ Honorary Professor, SPRU, University of Sussex; Guest Professor Zhejiang Univ., Hangzhou; Visiting Professor, ISTIC, Beijing; Visiting Professor, Birkbeck, University of London; http://scholar.google.com/citations?user=ych9gNYAAAAJ&hl=en From: ASIS&T Special Interest Group on Metrics [mailto:SIGMETRICS at LISTSERV.UTK.EDU] On Behalf Of Stevan Harnad Sent: Wednesday, December 17, 2014 6:35 PM To: SIGMETRICS at LISTSERV.UTK.EDU Subject: Re: [SIGMETRICS] Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 On Dec 17, 2014, at 12:15 PM, Taylor, Nicholas K > wrote: Why should the REF 2014 panellists become the Gold Standard? No disrespect but I would venture to suggest that even they would not see themselves as the optimal arbiters for all time. REF 2014 is certainly not the gold standard for all, or for all time ? but it?s clearly going to be the standard for doling out the 2014 REF gold! And as such, it is just fine for also initializing the weights on a first approximation to a REF 2020 metric equation: REF2020Rank = w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) + w6(hits) + w7(cite-peak-latency) + w8(hit-peak-latency) + w9(citedecay) + w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), + w25(comments) + w26(acad-likes) etc. etc. There?s plenty of time between now and 2020 to keep optimizing the equation, discipline by discipline, updating the initial weights as well as adding more metrics to the battery. Stevan From: Council of Professors and Heads of Computing in UK universities [ mailto:cphc-members at JISCMAIL.AC.UK] On Behalf Of Stevan Harnad Sent: 17 December 2014 14:27 To: cphc-members at JISCMAIL.AC.UK Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 Steven Hill of HEFCE has posted ?an overview of the work HEFCE are currently commissioning which they are hoping will build a robust evidence base for research assessment? in LSE Impact Blog 12(17) 2014 entitled Time for REFlection: HEFCE look ahead to provide rounded evaluation of the REF Let me add a suggestion, updated for REF2014, that I have made before (unheeded): Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Excellence Framework (REF) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, tweets, tags, etc.) can all be tested and validated jointly, discipline by discipline, against their REF panel rankings in REF2014. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster. Harnad, S. (2009) Open Access Scientometrics and the UK Research Assessment Exercise. Scientometrics 79 (1) Also in Proceedings of 11th Annual Meeting of the International Society for Scientometrics and Informetrics 11(1), pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. (2007) See also: The Only Substitute for Metrics is Better Metrics (2014) and On Metrics and Metaphysics (2008) We invite research leaders and ambitious early career researchers to join us in leading and driving research in key inter-disciplinary themes. Please see www.hw.ac.uk/researchleaders for further information and how to apply. Heriot-Watt University is a Scottish charity registered under charity number SC000278. -------------- next part -------------- An HTML attachment was scrubbed... URL: From amsciforum at GMAIL.COM Wed Dec 17 14:43:06 2014 From: amsciforum at GMAIL.COM (Stevan Harnad) Date: Wed, 17 Dec 2014 14:43:06 -0500 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: <000601d01a2b$6fc37220$4f4a5660$@leydesdorff.net> Message-ID: On Wed, Dec 17, 2014 at 1:58 PM, Loet Leydesdorff wrote: > Dear Steven, > > > > Since you have said this so many times and for so many years, I assumed > that you would have done this for REF2014. Did you? > > Are you calling for this to be done, or is this your own research program > for the next few years? > Dear Loet, I did say that I had suggested it before, unheeded! Yes, when the REF2014 rankings are in, we will use them to start initializing the weights on a REF2020 vector. The methodology is similar to what we used recently to test and then update the weights on the MELIBEA vector . With the MELIBEA vector weights we were trying to predict Open Access Mandate effectiveness, whereas with the REF2020 vector will try to predict REF2014 rank. Best wishes, Stevan > > > Best, > > Loet > > > ------------------------------ > > Loet Leydesdorff > > *Emeritus* University of Amsterdam > Amsterdam School of Communications Research (ASCoR) > > loet at leydesdorff.net ; http://www.leydesdorff.net/ > Honorary Professor, SPRU, University of > Sussex; > > Guest Professor Zhejiang Univ. , > Hangzhou; Visiting Professor, ISTIC, > Beijing; > > Visiting Professor, Birkbeck , University of > London; > > http://scholar.google.com/citations?user=ych9gNYAAAAJ&hl=en > > > > *From:* ASIS&T Special Interest Group on Metrics [mailto: > SIGMETRICS at LISTSERV.UTK.EDU] *On Behalf Of *Stevan Harnad > *Sent:* Wednesday, December 17, 2014 6:35 PM > *To:* SIGMETRICS at LISTSERV.UTK.EDU > *Subject:* Re: [SIGMETRICS] Open Access Metrics: Use REF2014 to Validate > Metrics for REF2020 > > > > Adminstrative info for SIGMETRICS (for example unsubscribe): > http://web.utk.edu/~gwhitney/sigmetrics.html > > On Dec 17, 2014, at 12:15 PM, Taylor, Nicholas K > wrote: > > > > Why should the REF 2014 panellists become the Gold Standard? No disrespect > but I would venture to suggest that even they would not see themselves as > the optimal arbiters for all time. > > > > REF 2014 is certainly not the gold standard for all, or for all time ? but > it?s clearly going to be the standard for doling out the 2014 REF gold! > > > > And as such, it is just fine for also initializing the weights on a first > approximation to a REF 2020 metric equation: > > > > *REF2020Rank* = > > *w1*(pubcount) + *w2*(JIF) + *w3*(cites) +*w4*(art-age) + *w5*(art-growth) > + *w6*(hits) + *w7*(cite-peak-latency) + *w8*(hit-peak-latency) + *w9*(citedecay) > + *w10*(hitdecay) + *w11*(hub-score) + *w12*(authority+score) + *w13*(h-index) > + *w14*(prior-funding) +*w15*(bookcites) + *w16*(student-counts) + *w17*(co-cites > + *w18*(co-hits) + *w19*(co-authors) + *w20*(endogamy) + *w21*(exogamy) + > *w22*(co-text) + *w23*(tweets) + *w24*(tags), + *w25*(comments) + *w26*(acad-likes) > etc. etc. > > > > There?s plenty of time between now and 2020 to keep optimizing the > equation, discipline by discipline, updating the initial weights as well as > adding more metrics to the battery. > > > > Stevan > > > > *From:* Council of Professors and Heads of Computing in UK universities [ > mailto:cphc-members at JISCMAIL.AC.UK ] *On > Behalf Of *Stevan Harnad > *Sent:* 17 December 2014 14:27 > *To:* cphc-members at JISCMAIL.AC.UK > *Subject:* Open Access Metrics: Use REF2014 to Validate Metrics for > REF2020 > > > > Steven Hill of HEFCE has posted ?an overview of the work HEFCE are > currently commissioning which they are hoping will build a robust evidence > base for research assessment? in LSE Impact Blog 12(17) 2014 entitled Time > for REFlection: HEFCE look ahead to provide rounded evaluation of the REF > > > > > Let me add a suggestion, updated for REF2014, that I have made before > (unheeded): > > Scientometric predictors of research performance need to be validated by > showing that they have a high correlation with the external criterion they > are trying to predict. The UK Research Excellence Framework (REF) -- > together with the growing movement toward making the full-texts of research > articles freely available on the web -- offer a unique opportunity to test > and validate a wealth of old and new scientometric predictors, through > multiple regression analysis: Publications, journal impact factors, > citations, co-citations, citation chronometrics (age, growth, latency to > peak, decay rate), hub/authority scores, h-index, prior funding, student > counts, co-authorship scores, endogamy/exogamy, textual proximity, > download/co-downloads and their chronometrics, tweets, tags, etc.) can all > be tested and validated jointly, discipline by discipline, against their > REF panel rankings in REF2014. The weights of each predictor can be > calibrated to maximize the joint correlation with the rankings. Open Access > Scientometrics will provide powerful new means of navigating, evaluating, > predicting and analyzing the growing Open Access database, as well as > powerful incentives for making it grow faster. > > Harnad, S. (2009) Open Access Scientometrics and the UK Research > Assessment Exercise . > *Scientometrics* 79 (1) Also in *Proceedings of 11th Annual Meeting of > the International Society for Scientometrics and Informetrics* 11(1), > pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. (2007) > > > > See also: > The Only Substitute for Metrics is Better Metrics > > (2014) > and > On Metrics and Metaphysics > > (2008) > > > > > We invite research leaders and ambitious early career researchers to join > us in leading and driving research in key inter-disciplinary themes. Please > see www.hw.ac.uk/researchleaders for further information and how to apply. > > > Heriot-Watt University is a Scottish charity registered under charity > number SC000278. > > > -------------- next part -------------- An HTML attachment was scrubbed... URL: From loet at LEYDESDORFF.NET Wed Dec 17 15:01:12 2014 From: loet at LEYDESDORFF.NET (Loet Leydesdorff) Date: Wed, 17 Dec 2014 21:01:12 +0100 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: Message-ID: Dear Stevan, I apologize for misspelling your name. Best, Loet From: ASIS&T Special Interest Group on Metrics [mailto:SIGMETRICS at LISTSERV.UTK.EDU] On Behalf Of Stevan Harnad Sent: Wednesday, December 17, 2014 8:43 PM To: SIGMETRICS at LISTSERV.UTK.EDU Subject: Re: [SIGMETRICS] Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 On Wed, Dec 17, 2014 at 1:58 PM, Loet Leydesdorff > wrote: Dear Steven, Since you have said this so many times and for so many years, I assumed that you would have done this for REF2014. Did you? Are you calling for this to be done, or is this your own research program for the next few years? Dear Loet, I did say that I had suggested it before, unheeded! Yes, when the REF2014 rankings are in, we will use them to start initializing the weights on a REF2020 vector. The methodology is similar to what we used recently to test and then update the weights on the MELIBEA vector . With the MELIBEA vector weights we were trying to predict Open Access Mandate effectiveness, whereas with the REF2020 vector will try to predict REF2014 rank. Best wishes, Stevan Best, Loet _____ Loet Leydesdorff Emeritus University of Amsterdam Amsterdam School of Communications Research (ASCoR) loet at leydesdorff.net ; http://www.leydesdorff.net/ Honorary Professor, SPRU, University of Sussex; Guest Professor Zhejiang Univ., Hangzhou; Visiting Professor, ISTIC, Beijing; Visiting Professor, Birkbeck, University of London; http://scholar.google.com/citations?user=ych9gNYAAAAJ&hl=en From: ASIS&T Special Interest Group on Metrics [mailto:SIGMETRICS at LISTSERV.UTK.EDU] On Behalf Of Stevan Harnad Sent: Wednesday, December 17, 2014 6:35 PM To: SIGMETRICS at LISTSERV.UTK.EDU Subject: Re: [SIGMETRICS] Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 On Dec 17, 2014, at 12:15 PM, Taylor, Nicholas K > wrote: Why should the REF 2014 panellists become the Gold Standard? No disrespect but I would venture to suggest that even they would not see themselves as the optimal arbiters for all time. REF 2014 is certainly not the gold standard for all, or for all time ? but it?s clearly going to be the standard for doling out the 2014 REF gold! And as such, it is just fine for also initializing the weights on a first approximation to a REF 2020 metric equation: REF2020Rank = w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) + w6(hits) + w7(cite-peak-latency) + w8(hit-peak-latency) + w9(citedecay) + w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), + w25(comments) + w26(acad-likes) etc. etc. There?s plenty of time between now and 2020 to keep optimizing the equation, discipline by discipline, updating the initial weights as well as adding more metrics to the battery. Stevan From: Council of Professors and Heads of Computing in UK universities [ mailto:cphc-members at JISCMAIL.AC.UK] On Behalf Of Stevan Harnad Sent: 17 December 2014 14:27 To: cphc-members at JISCMAIL.AC.UK Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 Steven Hill of HEFCE has posted ?an overview of the work HEFCE are currently commissioning which they are hoping will build a robust evidence base for research assessment? in LSE Impact Blog 12(17) 2014 entitled Time for REFlection: HEFCE look ahead to provide rounded evaluation of the REF Let me add a suggestion, updated for REF2014, that I have made before (unheeded): Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Excellence Framework (REF) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, tweets, tags, etc.) can all be tested and validated jointly, discipline by discipline, against their REF panel rankings in REF2014. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster. Harnad, S. (2009) Open Access Scientometrics and the UK Research Assessment Exercise. Scientometrics 79 (1) Also in Proceedings of 11th Annual Meeting of the International Society for Scientometrics and Informetrics 11(1), pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. (2007) See also: The Only Substitute for Metrics is Better Metrics (2014) and On Metrics and Metaphysics (2008) We invite research leaders and ambitious early career researchers to join us in leading and driving research in key inter-disciplinary themes. Please see www.hw.ac.uk/researchleaders for further information and how to apply. Heriot-Watt University is a Scottish charity registered under charity number SC000278. -------------- next part -------------- An HTML attachment was scrubbed... URL: From harnad at ECS.SOTON.AC.UK Thu Dec 18 06:23:25 2014 From: harnad at ECS.SOTON.AC.UK (Stevan Harnad) Date: Thu, 18 Dec 2014 06:23:25 -0500 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: Message-ID: > On Dec 18, 2014, at 3:39 AM, [name deleted because posted off-list] wrote: > > that's very high dimensionality in that equation. I don?t think 30 metric predictors for about 6% of the planet?s annual research output (UK) is such an under-fit. (But we could start with the most likely metrics first, and then see how much variance is accounted for by adding more.) > you don't have enough data points to have any decent confidence about those weights - i That cannot be stated in advance. First we need to calculate the multiple regression on the REF2014 rankings and determine how much each metric contributes. > suggest you look at the REF data? and see how many different journal/venues and all over the ACM Classification hierarchy, the 7000 odd outputs appeared in - you'll find in any given venue, topic you rarely have more than a handful of items - your variance will be terrible The proposal is not to assess the predictive power of any one of the 4 publications submitted. The REF2014 peer rankings themselves are based on peers (putatively) re-reading those 4 pubs per researcher, but the regression equation I sketched is based on (OA) data that go far beyond that. (In point of fact, it?s absurd and arbitrary to base the REF assessment on just 4 papers in a 6-year stretch. That restriction is dictated by the demands of the peers having to read all those papers, but open-access metrics can be harvested and have no such human bottleneck constraint on them. What you could complain, legitimately, is that not all those potential data are OA yet... Well, yes ? and that?s part of the point.) REF2020Rank = w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) + w6(hits) + w7(cite-peak-latency) + w8(hit-peak-latency) + w9(citedecay) + w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), + w25(comments) + w26(acad-likes) etc. etc. > and the result of munging all those _different_ distributions into one single model will be to prssure people to move their work areas to the best fit topic/venue, which is not a true measure of anything desired by us of HEFCE or RC.UK to my knowledge. I cannot fathom what one, two, three or N things a researcher can do in order to maximize their score on the above equation (other than to try to do good, important, useful work?). > please do the detailed work? Will try. But there a few details you need to get straight too? (<:3 > > On Wed, Dec 17, 2014 at 3:38 PM, Stevan Harnad > wrote: > >> On Dec 17, 2014, at 9:54 AM, Alan Burns > wrote: >> >> Those that advocate metrics have never, to at least my satisfaction, answered the >> argument that accuracy in the past does not mean effectiveness in the future, >> once the game has changed. > > I recommend Bradley on metaphysics and Hume on induction : > > "The man who is ready to prove that metaphysical knowledge is wholly impossible? is a brother metaphysician with a rival theory ? Bradley, F. H. (1893) Appearance and Reality > > One could have asked the same question about apples continuing to fall down in future, rather than up. > > Yes, single metrics can be abused, but not only van abuses be named and shamed when detected, but it become harder to abuse metrics when they are part of a multiple, inter-correlated vector, with disciplinary profiles on their normal interactions: someone dispatching a robot to download his papers would quickly be caught out when the usual correlation between downloads and later citations fails to appear. Add more variables and it gets even harder, > >> Even if one was able to define a set of metrics that perfectly matches REF2014. >> The announcement that these metric would be used in REF2020 would >> immediately invalidate there use. > > In a weighted vector of multiple metrics like the sample I had listed, it?s no use to a researcher if told that for REF2020 the mertic equation will be the following, with the following weights for their particular discipline: > > w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) w6(hits) +w7(cite-peak-latency) + w8(hit-peak-latency) +w9(citedecay) +w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), +w25(comments) + w26(acad-likes) etc. etc. > > The potential list could be much longer, and the weights can be positive or negative, and varying by discipline. > > "The man who is ready to prove that metric knowledge is wholly impossible? is a brother metrician with rival m etrics?? > >> if you wanted to do this properly, you should have to take a lot of outputs that were NOT submitted and run any metric scheme on them as well as those submitted. >>> too late:) You would indeed ? and that?s why it all has to be made OA? >>> On Wed, Dec 17, 2014 at 2:26 PM, Stevan Harnad > wrote: >>> Steven Hill of HEFCE has posted ?an overview of the work HEFCE are currently commissioning which they are hoping will build a robust evidence base for research assessment? in LSE Impact Blog 12(17) 2014 entitled Time for REFlection: HEFCE look ahead to provide rounded evaluation of the REF >>> >>> Let me add a suggestion, updated for REF2014, that I have made before (unheeded): >>> >>> Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Excellence Framework (REF) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, tweets, tags, etc.) can all be tested and validated jointly, discipline by discipline, against their REF panel rankings in REF2014. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster. >>> >>> Harnad, S. (2009) Open Access Scientometrics and the UK Research Assessment Exercise . Scientometrics 79 (1) Also in Proceedings of 11th Annual Meeting of the International Society for Scientometrics and Informetrics 11(1), pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. (2007) >>> >>> See also: >>> The Only Substitute for Metrics is Better Metrics (2014) >>> and >>> On Metrics and Metaphysics (2008) -------------- next part -------------- An HTML attachment was scrubbed... URL: From harnad at ECS.SOTON.AC.UK Thu Dec 18 10:58:34 2014 From: harnad at ECS.SOTON.AC.UK (Stevan Harnad) Date: Thu, 18 Dec 2014 10:58:34 -0500 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: Message-ID: Continuous assessment ? rather than 6-yearly assessment on 4 outputs ? yes. And, yes, the REF panels did a hard job, admirably. But you want them to be doing it on all outputs, all the time? No. The potential of multiple, weighted Open Access metrics is precisely to allow continuous assessment, without the continuous need for peer assessment. But for this to work the metrics and their weights have to be validated and initialized in first first place: And this is what can be done against the REF2014 rankings. That done, the initial weights can be updated across the years as needed, based on the growing evidence base and perhaps on the basis of evolving needs and criteria. Ceterum censeo (adapting Bradley ): "The man who is ready to prove that metric knowledge is wholly impossible? is a brother metrician with rival metrics?? > On Dec 18, 2014, at 9:29 AM, Harold Thimbleby wrote: > > It's obviously a big area for discussion/debate/arguent, but the REF and research quality assessment are very different beasts. > > The window of REF assessment is very brief compared to the period of research waves - I've just read an EPSRC JeS abstract that anticipates impact in 50 years; Treasury goals are very different to the research community's. > > Jon is absolutely right: the REF misses a lot of data, and there was a lot of game playing in it. Anybody with more than 4 publications had to *guess* which would be most use - now ask yourself why a research evaluation process involves game-playing and guessing? An answer is that it did not set out to measure research excellence. (Although it's more complex: people who were measured in the RAE as doing well then will have got more funding so they will tend to do even better...., so the correlations are [more likely] causally related to resourcing not quality) > > Not just outputs that didn't get entered into REF - there is a lot of good research that "fails" before it is even eligible for REF measurement - rejected EPSRC proposals for instance: they might represent stunning work but happen to hit referees/panels on a bad day -- their failure is chance rather than a measure of quality. And there is a lot of published CS research that is irreproducible even when it is accepted for publication. > > In short, combining REF results, OA and .... to end up with metric predictors might be great fun, but is circular and it misses the point (unless you are the Treasury trying to spend less money). > > IMHO the best thing to do would be, now everybody has got computer support for REF assessment, to do it continuously and to stop changing the rules. Unfortunately, the point of changing the rules every assessment cycle is to keep us the researchers playing victims in a bigger game we are not able to control, but in which we (or our VCs) have been conditioned to play willingly. To paraphrase Freud: identification with a power figure is one way the ego defends itself - when a victim accepts the aggressor's values, they cease to be see them as a threat; and when those values are expressed in cash, the identification is so easy. > > I'd say the REF panels have done a wonderful job, and I am full of admiration for all involved and their commitment, but I have a deep seated reservation, namely that REF as a "research excellence framework" is and remains a triumph of misdirection. > > > > Harold > --- > Prof. Harold Thimbleby CEng FIET FRCPE FLSW HonFRSA HonFRCP > See http://harold.thimbleby.net or http://mitpress.com/presson > On 17 December 2014 at 14:35, Jon Crowcroft > wrote: > if you wanted to do this properly, you should have to take a lot of outputs that were NOT submitted and run any metric scheme on them as well as those submitted. > too late:) > > On Wed, Dec 17, 2014 at 2:26 PM, Stevan Harnad > wrote: > Steven Hill of HEFCE has posted ?an overview of the work HEFCE are currently commissioning which they are hoping will build a robust evidence base for research assessment? in LSE Impact Blog 12(17) 2014 entitled Time for REFlection: HEFCE look ahead to provide rounded evaluation of the REF > > Let me add a suggestion, updated for REF2014, that I have made before (unheeded): > > Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Excellence Framework (REF) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, tweets, tags, etc.) can all be tested and validated jointly, discipline by discipline, against their REF panel rankings in REF2014. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster. > > Harnad, S. (2009) Open Access Scientometrics and the UK Research Assessment Exercise . Scientometrics 79 (1) Also in Proceedings of 11th Annual Meeting of the International Society for Scientometrics and Informetrics 11(1), pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. (2007) > > See also: > The Only Substitute for Metrics is Better Metrics (2014) > and > On Metrics and Metaphysics (2008) -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwojick at CRAIGELLACHIE.US Thu Dec 18 10:57:40 2014 From: dwojick at CRAIGELLACHIE.US (David Wojick) Date: Thu, 18 Dec 2014 11:57:40 -0400 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: <293A1F4D-73A7-4E85-BE85-7E94FF2D8D61@ecs.soton.ac.uk> Message-ID: This does sound interesting, Stevan, especially if you got an unexpected result. But I doubt it would validate or invalidate any scientometric predictors. It is basically a decision model for a single organization going through a more or less single, albeit complex, decision exercise. To begin with, it is just one organization. Then too, simple multiple regression seems like a very crude way to derive such a model. The large number of factors is also a concern, as others have noted, especially if we are trying to establish causality. I would think that the more factors used the less credible the result. But then we also need to think that we have all the significant factors, don't we? Perhaps not. Are there useful precedents for this? Finally, is all the needed data available and how much might this cost? I guess that if I were peer reviewing this as a preliminary proposal I would be positive but not enthusiastic. More information is needed about the proposed project and its goals. David http://insidepublicaccess.com/ At 07:23 AM 12/18/2014, you wrote: >Adminstrative info for SIGMETRICS (for example unsubscribe): >http://web.utk.edu/~gwhitney/sigmetrics.html >>On Dec 18, 2014, at 3:39 AM, [name deleted because posted off-list] wrote: >> >>that's very high dimensionality in that equation. > >I don???t think 30 metric predictors for about 6% of the planet???s annual >research output (UK) is such an under-fit. > >(But we could start with the most likely metrics first, and then see how >much variance is accounted for by adding more.) > >>you don't have enough data points to have any decent confidence about >>those weights - i > >That cannot be stated in advance. First we need to calculate the multiple >regression on the REF2014 rankings and determine how much each metric >contributes. > >>suggest you look at the REF data and see how many different >>journal/venues and all over the ACM Classification hierarchy, the 7000 >>odd outputs appeared in - you'll find in any given venue, topic you >>rarely have more than a handful of items - your variance will be terrible > >The proposal is not to assess the predictive power of any one of the 4 >publications submitted. > >The REF2014 peer rankings themselves are based on peers (putatively) >re-reading those 4 pubs per researcher, but the regression equation I >sketched is based on (OA) data that go far beyond that. > >(In point of fact, it???s absurd and arbitrary to base the REF assessment >on just 4 papers in a 6-year stretch. That restriction is dictated by the >demands of the peers having to read all those papers, but open-access >metrics can be harvested and have no such human bottleneck constraint on >them. What you could complain, legitimately, is that not all those >potential data are OA yet... Well, yes ??? and that???s part of the point.) > >REF2020Rank = > >w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) + >w6(hits) + w7(cite-peak-latency) + w8(hit-peak-latency) + w9(citedecay) + >w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + >w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + >w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + >w22(co-text) + w23(tweets) + w24(tags), + w25(comments) + w26(acad-likes) >etc. etc. > >>and the result of munging all those _different_ distributions into one >>single model will be to prssure people to move their work areas to the >>best fit topic/venue, which is not a true measure of anything desired by >>us of HEFCE or RC.UK to my knowledge. > >I cannot fathom what one, two, three or N things a researcher can do in >order to maximize their score on the above equation (other than to try to >do good, important, useful work ). > >>please do the detailed work > >Will try. But there a few details you need to get straight too (<:3 > >> >>On Wed, Dec 17, 2014 at 3:38 PM, Stevan Harnad >><harnad at ecs.soton.ac.uk> wrote: >> >>>On Dec 17, 2014, at 9:54 AM, Alan Burns >>><alan.burns at YORK.AC.UK> wrote: >>> >>>Those that advocate metrics have never, to at least my satisfaction, >>>answered the >>>argument that accuracy in the past does not mean effectiveness in the >>>future, >>>once the game has changed. >> >>I recommend Bradley on metaphysics and Hume on >>induction: >> >>"The >>man who is ready to prove that metaphysical knowledge is wholly >>impossible is a brother metaphysician with a rival theory??? Bradley, F. >>H. (1893) Appearance and Reality >> >>One could have asked the same question about apples continuing to fall >>down in future, rather than up. >> >>Yes, single metrics can be abused, but not only van abuses be named and >>shamed when detected, but it become harder to abuse metrics when they are >>part of a multiple, inter-correlated vector, with disciplinary profiles >>on their normal interactions: someone dispatching a robot to download his >>papers would quickly be caught out when the usual correlation between >>downloads and later citations fails to appear. Add more variables and it >>gets even harder, >> >>>Even if one was able to define a set of metrics that perfectly matches >>>REF2014. >>>The announcement that these metric would be used in REF2020 would >>>immediately invalidate there use. >> >>In a weighted vector of multiple metrics like the sample I had listed, >>it???s no use to a researcher if told that for REF2020 the mertic >>equation will be the following, with the following weights for their >>particular discipline: >> >>w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + >>w5(art-growth) w6(hits) +w7(cite-peak-latency) + w8(hit-peak-latency) >>+w9(citedecay) +w10(hitdecay) + w11(hub-score) + w12(authority+score) + >>w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) + >>w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + >>w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), +w25(comments) + >>w26(acad-likes) etc. etc. >> >> >>The potential list could be much longer, and the weights can be positive >>or negative, and varying by discipline. >> >>"The >>man who is ready to prove that metric knowledge is wholly impossible is >>a brother metrician with rival metrics ??? >> >> >>>if you wanted to do this properly, you should have to take a lot of >>>outputs that were NOT submitted and run any metric scheme on them as >>>well as those submitted. >>>>too late:) > >You would indeed ? and that???s why it all has to be made OA > >>>>On Wed, Dec 17, 2014 at 2:26 PM, Stevan Harnad >>>><harnad at ecs.soton.ac.uk> wrote: >>>>Steven Hill of HEFCE has posted ???an overview of the work HEFCE are >>>>currently commissioning which they are hoping will build a robust >>>>evidence base for research assessment??? in LSE Impact Blog 12(17) 2014 >>>>entitled >>>>Time >>>>for REFlection: HEFCE look ahead to provide rounded evaluation of the REF >>>> >>>>Let me add a suggestion, updated for REF2014, that I have made before >>>>(unheeded): >>>> >>>>Scientometric predictors of research performance need to be validated >>>>by showing that they have a high correlation with the external >>>>criterion they are trying to predict. The UK Research Excellence >>>>Framework (REF) -- together with the growing movement toward making the >>>>full-texts of research articles freely available on the web -- offer a >>>>unique opportunity to test and validate a wealth of old and new >>>>scientometric predictors, through multiple regression analysis: >>>>Publications, journal impact factors, citations, co-citations, citation >>>>chronometrics (age, growth, latency to peak, decay rate), hub/authority >>>>scores, h-index, prior funding, student counts, co-authorship scores, >>>>endogamy/exogamy, textual proximity, download/co-downloads and their >>>>chronometrics, tweets, tags, etc.) can all be tested and validated >>>>jointly, discipline by discipline, against their REF panel rankings in >>>>REF2014. The weights of each predictor can be calibrated to maximize >>>>the joint correlation with the rankings. Open Access Scientometrics >>>>will provide powerful new means of navigating, evaluating, predicting >>>>and analyzing the growing Open Access database, as well as powerful >>>>incentives for making it grow faster. >>>> >>>>Harnad, S. (2009) Open Access >>>>Scientometrics and the UK Research Assessment Exercise. Scientometrics >>>>79 (1) Also in Proceedings of 11th Annual Meeting of the International >>>>Society for Scientometrics and Informetrics 11(1), pp. 27-33, Madrid, >>>>Spain. Torres-Salinas, D. and Moed, H. F., Eds. (2007) >>>> >>>>See also: >>>>The >>>>Only Substitute for Metrics is Better Metrics (2014) >>>>and >>>>On >>>>Metrics and Metaphysics (2008) > -------------- next part -------------- An HTML attachment was scrubbed... URL: From lutz.bornmann at GV.MPG.DE Thu Dec 18 11:33:15 2014 From: lutz.bornmann at GV.MPG.DE (Bornmann, Lutz) Date: Thu, 18 Dec 2014 16:33:15 +0000 Subject: Nature Index Message-ID: You might be interested in the discussion on the new Nature Index (http://www.natureindex.com): http://figshare.com/articles/Problems_with_the_new_Nature_Index/1250130 http://files.figshare.com/1829298/A_response_to__Discussion_about_the_new_Nature_Index_.pdf Lutz Bornmann From harnad at ECS.SOTON.AC.UK Thu Dec 18 11:39:16 2014 From: harnad at ECS.SOTON.AC.UK (Stevan Harnad) Date: Thu, 18 Dec 2014 11:39:16 -0500 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: <6.2.0.14.2.20141218114226.0436b930@pop.craigellachie.us> Message-ID: On Dec 18, 2014, at 10:57 AM, David Wojick wrote: > > This does sound interesting, Stevan, especially if you got an unexpected result. The objective is actually not to get an unexpected result, David, but to generate a battery of metrics that predicts the actual REF2014 peer ranking as closely as possible, so that in REF2020 it can be the metrics rather than the peers that do the ranking. > But I doubt it would validate or invalidate any scientometric predictors. A high correlation would certainly validate the REF battery, for the REF. > It is basically a decision model for a single organization going through a more or less single, albeit complex, decision exercise. To begin with, it is just one organization. All researchers, at all UK institutions, in each discipline, is a ?single organization?? (To paraphrase an erstwhile UK researcher: "some organization!" "some singularity!") The UK does 6-11% of the world?s research. Not a bad sample, I?d say, for a first pass at validating those metrics. > Then too, simple multiple regression seems like a very crude way to derive such a model. Simple multiple regression is a natural first step. (I agree that after that more sophisticated analyses will be possible too.) > The large number of factors is also a concern, as others have noted, especially if we are trying to establish causality. For the REF, all you need is predictivity. But I agree that causality too is important, and with continuous assessment instead of just stratified post-hoc sampling, it will be possible to make much more powerful use of the time domain. (I don?t think a starting battery of 30 metrics would be too many -- far from it. But some of them will prove to have low or no Beta weights. That?s why metric validation is an empirical exercise.) > I would think that the more factors used the less credible the result. The credibility of each metric will be the proportion of the total variance that it accounts for. It is an empirical question whether a few metrics will account for the lion?s share of the variance, and the rest will have negligibly small or no weights. > But then we also need to think that we have all the significant factors, don't we? Perhaps not. Are there useful precedents for this? I am certain that my back-of-the-matchbox list of candidate metrics was neither exhaustive nor optimal. It was just indicative. All other credible candidates are welcome! REF2020Rank = w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) + w6(hits) + w7(cite-peak-latency) + w8(hit-peak-latency) + w9(citedecay) + w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), + w25(comments) + w26(acad-likes) etc. etc. > Finally, is all the needed data available and how much might this cost? The REF2014 data were released today and are available at once, for testing against metrics, discipline by discipline. What?s still very sparse and gappy is the availability of the 26 OA metrics sketched above ? and that?s because a lot of the source material is not yet OA. The proprietary databases (like WoS and SCOPUS) are not OA either. But if the papers were all OA, then the metrics could all easily be harvested and calculated from them. > I guess that if I were peer reviewing this as a preliminary proposal I would be positive but not enthusiastic. More information is needed about the proposed project and its goals. I wasn?t actually counting on your recommendation for peer review of the proposal to validate metrics against REF2014, David: I was rather hoping it might help inspire you to recommend the right OA policy model to OSTI for which you consult. That way we would have a better hope of making the all-important OA data available when President Obama?s OSTP directive is implemented... > At 07:23 AM 12/18/2014, you wrote: >> Adminstrative info for SIGMETRICS (for example unsubscribe): http://web.utk.edu/~gwhitney/sigmetrics.html >>> On Dec 18, 2014, at 3:39 AM, [name deleted because posted off-list] wrote: >>> >>> that's very high dimensionality in that equation. >> >> I don???t think 30 metric predictors for about 6% of the planet???s annual research output (UK) is such an under-fit. >> >> (But we could start with the most likely metrics first, and then see how much variance is accounted for by adding more.) >> >>> you don't have enough data points to have any decent confidence about those weights - i >> >> That cannot be stated in advance. First we need to calculate the multiple regression on the REF2014 rankings and determine how much each metric contributes. >> >>> suggest you look at the REF data >>> and see how many different journal/venues and all over the ACM Classification hierarchy, the 7000 odd outputs appeared in - you'll find in any given venue, topic you rarely have more than a handful of items - your variance will be terrible >> >> The proposal is not to assess the predictive power of any one of the 4 publications submitted. >> >> The REF2014 peer rankings themselves are based on peers (putatively) re-reading those 4 pubs per researcher, but the regression equation I sketched is based on (OA) data that go far beyond that. >> >> (In point of fact, it???s absurd and arbitrary to base the REF assessment on just 4 papers in a 6-year stretch. That restriction is dictated by the demands of the peers having to read all those papers, but open-access metrics can be harvested and have no such human bottleneck constraint on them. What you could complain, legitimately, is that not all those potential data are OA yet... Well, yes ??? and that???s part of the point.) >> >> REF2020Rank = >> >> w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) + w6(hits) + w7(cite-peak-latency) + w8(hit-peak-latency) + w9(citedecay) + w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), + w25(comments) + w26(acad-likes) etc. etc. >> >>> and the result of munging all those _different_ distributions into one single model will be to prssure people to move their work areas to the best fit topic/venue, which is not a true measure of anything desired by us of HEFCE or RC.UK to my knowledge. >> >> I cannot fathom what one, two, three or N things a researcher can do in order to maximize their score on the above equation (other than to try to do good, important, useful work >> ). >> >>> please do the detailed work >>> >> >> Will try. But there a few details you need to get straight too >> (<:3 >> >>> >>> On Wed, Dec 17, 2014 at 3:38 PM, Stevan Harnad > wrote: >>> >>>> On Dec 17, 2014, at 9:54 AM, Alan Burns > wrote: >>>> >>>> Those that advocate metrics have never, to at least my satisfaction, answered the >>>> argument that accuracy in the past does not mean effectiveness in the future, >>>> once the game has changed. >>> >>> I recommend Bradley on metaphysics and Hume on induction : >>> >>> " The man who is ready to prove that metaphysical knowledge is wholly impossible >>> is a brother metaphysician with a rival theory ??? Bradley, F. H. (1893) Appearance and Reality >>> >>> One could have asked the same question about apples continuing to fall down in future, rather than up. >>> >>> Yes, single metrics can be abused, but not only van abuses be named and shamed when detected, but it become harder to abuse metrics when they are part of a multiple, inter-correlated vector, with disciplinary profiles on their normal interactions: someone dispatching a robot to download his papers would quickly be caught out when the usual correlation between downloads and later citations fails to appear. Add more variables and it gets even harder, >>> >>>> Even if one was able to define a set of metrics that perfectly matches REF2014. >>>> The announcement that these metric would be used in REF2020 would >>>> immediately invalidate there use. >>> >>> In a weighted vector of multiple metrics like the sample I had listed, it???s no use to a researcher if told that for REF2020 the mertic equation will be the following, with the following weights for their particular discipline: >>> >>> w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) w6(hits) +w7(cite-peak-latency) + w8(hit-peak-latency) +w9(citedecay) +w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), +w25(comments) + w26(acad-likes) etc. etc. >>> >>> >>> The potential list could be much longer, and the weights can be positive or negative, and varying by discipline. >>> >>> " The man who is ready to prove that metric knowledge is wholly impossible >>> is a brother metrician with rival m etrics >>> ??? >>> >>> >>>> if you wanted to do this properly, you should have to take a lot of outputs that were NOT submitted and run any metric scheme on them as well as those submitted. >>>>> too late:) >> >> You would indeed ? and that???s why it all has to be made OA >> >> >>>>> On Wed, Dec 17, 2014 at 2:26 PM, Stevan Harnad > wrote: >>>>> Steven Hill of HEFCE has posted ???an overview of the work HEFCE are currently commissioning which they are hoping will build a robust evidence base for research assessment??? in LSE Impact Blog 12(17) 2014 entitled Time for REFlection: HEFCE look ahead to provide rounded evaluation of the REF >>>>> >>>>> Let me add a suggestion, updated for REF2014, that I have made before (unheeded): >>>>> >>>>> Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Excellence Framework (REF) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, tweets, tags, etc.) can all be tested and validated jointly, discipline by discipline, against their REF panel rankings in REF2014. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster. >>>>> >>>>> Harnad, S. (2009) Open Access Scientometrics and the UK Research Assessment Exercise . Scientometrics 79 (1) Also in Proceedings of 11th Annual Meeting of the International Society for Scientometrics and Informetrics 11(1), pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. (2007) >>>>> >>>>> See also: >>>>> The Only Substitute for Metrics is Better Metrics (2014) >>>>> and >>>>> On Metrics and Metaphysics (2008) > -------------- next part -------------- An HTML attachment was scrubbed... URL: From christian.schloegl at UNI-GRAZ.AT Thu Dec 18 12:49:28 2014 From: christian.schloegl at UNI-GRAZ.AT (=?ISO-8859-15?Q?Christian_Schl=F6gl?=) Date: Thu, 18 Dec 2014 18:49:28 +0100 Subject: ISI 2015 - 14th International Symposium of Information Science, 2nd Call for Papers Message-ID: Dear Colleagues, With this email we would like to invite you to contribute to the 14th International Symposium of Information Science (ISI 2015). ISI 2015 is a biannual gathering of scholars, researchers and students from information science from Europe and beyond who share a common interest in critical information issues in contemporary society. The conference series originated in the German-language information science community but has become more and more international in recent years. This time, ISI 2015 will take place in Zadar, Croatia, from May 19 - 21, 2015 and will be co-organized by the Department of Information Sciences at the University of Zadar and the German Academic Association for Information Science (Hochschulverband Informationswissenschaft e. V.), in association with the Association of Information Science and Technology (ASIS&T). Please find more detailed information about the conference at www.isi2015.eu If you have any questions, please do not hesitate to contact us. We are looking forward your contributions. P.S. One topic at ISI 2015 will be devoted in particular to "Changes in Scholarly Communication" With kind regards, Franjo Pehar & Christian Schloegl -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwojick at CRAIGELLACHIE.US Thu Dec 18 12:58:11 2014 From: dwojick at CRAIGELLACHIE.US (David Wojick) Date: Thu, 18 Dec 2014 13:58:11 -0400 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: <684FE636-7E77-490C-9060-58A462350A29@ecs.soton.ac.uk> Message-ID: Stevan, Regarding the organization, I thought you were trying to match the REF rankings. Those were produced by a single organization, using a specific decision process, not by all the researchers and universities whose work was submitted. Also, the credibility I am referring to is that of the analysis, not of the metrics you choose to use. You seem to be giving this analysis more credence than it probably deserves. As i said, multiple regression analysis is a crude approach to decision modeling. I do not see what any of this has to do with OA policy, especially US policy, just because you want to do some computations based on the REF results. And it sounds like you cannot do them because the metrical data is not available. It is a possibly interesting experiment, but that is all as far as I can see, not a reason to make or change policies. David At 12:39 PM 12/18/2014, you wrote: >Adminstrative info for SIGMETRICS (for example unsubscribe): >http://web.utk.edu/~gwhitney/sigmetrics.html On Dec 18, 2014, at 10:57 AM, >David Wojick <dwojick at CRAIGELLACHIE.US> wrote: >> >>This does sound interesting, Stevan, especially if you got an unexpected >>result. > >The objective is actually not to get an unexpected result, David, but to >generate a battery of metrics that predicts the actual REF2014 peer >ranking as closely as possible, so that in REF2020 it can be the metrics >rather than the peers that do the ranking. > >>But I doubt it would validate or invalidate any scientometric predictors. > >A high correlation would certainly validate the REF battery, for the REF. > >>It is basically a decision model for a single organization going through >>a more or less single, albeit complex, decision exercise. To begin with, >>it is just one organization. > >All researchers, at all UK institutions, in each discipline, is a >???single organization???? > >(To paraphrase an erstwhile UK researcher: "some organization!" "some >singularity!") > >The UK does 6-11% of the world???s research. Not a bad sample, I???d say, >for a first pass at validating those metrics. > >>Then too, simple multiple regression seems like a very crude way to >>derive such a model. > >Simple multiple regression is a natural first step. (I agree that after >that more sophisticated analyses will be possible too.) > >>The large number of factors is also a concern, as others have noted, >>especially if we are trying to establish causality. > >For the REF, all you need is predictivity. But I agree that causality too >is important, and with continuous assessment instead of just stratified >post-hoc sampling, it will be possible to make much more powerful use of >the time domain. > >(I don???t think a starting battery of 30 metrics would be too many -- far >from it. But some of them will prove to have low or no Beta weights. >That???s why metric validation is an empirical exercise.) > >>I would think that the more factors used the less credible the result. > >The credibility of each metric will be the proportion of the total >variance that it accounts for. It is an empirical question whether a few >metrics will account for the lion???s share of the variance, and the rest >will have negligibly small or no weights. > >>But then we also need to think that we have all the significant factors, >>don't we? Perhaps not. Are there useful precedents for this? > >I am certain that my back-of-the-matchbox list of candidate metrics was >neither exhaustive nor optimal. It was just indicative. All other credible >candidates are welcome! > >REF2020Rank = > >w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) + >w6(hits) + w7(cite-peak-latency) + w8(hit-peak-latency) + w9(citedecay) + >w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + >w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + >w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + >w22(co-text) + w23(tweets) + w24(tags), + w25(comments) + w26(acad-likes) >etc. etc. > > > >>Finally, is all the needed data available and how much might this cost? > >The REF2014 data were released today and are >available at once, for testing against metrics, discipline by discipline. > >What???s still very sparse and gappy is the availability of the 26 OA >metrics sketched above ? and that???s because a lot of the source material >is not yet OA. The proprietary databases (like WoS and SCOPUS) are not OA >either. But if the papers were all OA, then the metrics could all easily >be harvested and calculated from them. > >>I guess that if I were peer reviewing this as a preliminary proposal I >>would be positive but not enthusiastic. More information is needed about >>the proposed project and its goals. > >I wasn???t actually counting on your recommendation for peer review of the >proposal to validate metrics against REF2014, David: I was rather hoping >it might help inspire you to >recommend >the right OA policy model to OSTI for which you consult. That way we >would have a better hope of making the all-important OA data available >when President Obama???s OSTP directive is implemented... > >>At 07:23 AM 12/18/2014, you wrote: >>>Adminstrative info for SIGMETRICS (for example unsubscribe): >>>http://web.utk.edu/~gwhitney/sigmetrics.html >>>>On Dec 18, 2014, at 3:39 AM, [name deleted because posted >>>>off-list] wrote: >>>> >>>>that's very high dimensionality in that equation. >>> >>>I don??????t think 30 metric predictors for about 6% of the >>>planet??????s annual research output (UK) is such an under-fit. >>> >>>(But we could start with the most likely metrics first, and then see how >>>much variance is accounted for by adding more.) >>> >>>>you don't have enough data points to have any decent confidence about >>>>those weights - i >>> >>>That cannot be stated in advance. First we need to calculate the >>>multiple regression on the REF2014 rankings and determine how much each >>>metric contributes. >>> >>>>suggest you look at the REF data? and see how many different >>>>journal/venues and all over the ACM Classification hierarchy, the 7000 >>>>odd outputs appeared in - you'll find in any given venue, topic you >>>>rarely have more than a handful of items - your variance will be terrible >>> >>>The proposal is not to assess the predictive power of any one of the 4 >>>publications submitted. >>> >>>The REF2014 peer rankings themselves are based on peers (putatively) >>>re-reading those 4 pubs per researcher, but the regression equation I >>>sketched is based on (OA) data that go far beyond that. >>> >>>(In point of fact, it??????s absurd and arbitrary to base the REF >>>assessment on just 4 papers in a 6-year stretch. That restriction is >>>dictated by the demands of the peers having to read all those papers, >>>but open-access metrics can be harvested and have no such human >>>bottleneck constraint on them. What you could complain, legitimately, is >>>that not all those potential data are OA yet... Well, yes ?????? and >>>that??????s part of the point.) >>> >>>REF2020Rank = >>> >>>w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) + >>>w6(hits) + w7(cite-peak-latency) + w8(hit-peak-latency) + w9(citedecay) >>>+ w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + >>>w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites >>>+ w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + >>>w22(co-text) + w23(tweets) + w24(tags), + w25(comments) + >>>w26(acad-likes) etc. etc. >>> >>>>and the result of munging all those _different_ distributions into one >>>>single model will be to prssure people to move their work areas to the >>>>best fit topic/venue, which is not a true measure of anything desired >>>>by us of HEFCE or RC.UK to my knowledge. >>> >>>I cannot fathom what one, two, three or N things a researcher can do in >>>order to maximize their score on the above equation (other than to try >>>to do good, important, useful work? ). >>> >>>>please do the detailed work? >>> >>>Will try. But there a few details you need to get straight too? (<:3 >>> >>>> >>>>On Wed, Dec 17, 2014 at 3:38 PM, Stevan Harnad >>>><harnad at ecs.soton.ac.uk > wrote: >>>>>On Dec 17, 2014, at 9:54 AM, Alan Burns >>>>><alan.burns at YORK.AC.UK> wrote: >>>>>Those that advocate metrics have never, to at least my satisfaction, >>>>>answered the >>>>>argument that accuracy in the past does not mean effectiveness in the >>>>>future, >>>>>once the game has changed. >>>>I recommend Bradley on metaphysics and Hume on >>>>induction: >>>>" >>>>The man who is ready to prove that metaphysical knowledge is wholly >>>>impossible? is a brother metaphysician with a rival theory?????? >>>>Bradley, F. H. (1893) Appearance and Reality >>>>One could have asked the same question about apples continuing to fall >>>>down in future, rather than up. >>>>Yes, single metrics can be abused, but not only van abuses be named and >>>>shamed when detected, but it become harder to abuse metrics when they >>>>are part of a multiple, inter-correlated vector, with disciplinary >>>>profiles on their normal interactions: someone dispatching a robot to >>>>download his papers would quickly be caught out when the usual >>>>correlation between downloads and later citations fails to appear. Add >>>>more variables and it gets even harder, >>>> >>>>>Even if one was able to define a set of metrics that perfectly matches >>>>>REF2014. >>>>>The announcement that these metric would be used in REF2020 would >>>>>immediately invalidate there use. >>>>In a weighted vector of multiple metrics like the sample I had listed, >>>>it??????s no use to a researcher if told that for REF2020 the mertic >>>>equation will be the following, with the following weights for their >>>>particular discipline: >>>> >>>>w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + >>>>w5(art-growth) w6(hits) +w7(cite-peak-latency) + w8(hit-peak-latency) >>>>+w9(citedecay) +w10(hitdecay) + w11(hub-score) + w12(authority+score) + >>>>w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) >>>>+ w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + >>>>w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), +w25(comments) + >>>>w26(acad-likes) etc. etc. >>>> >>>> >>>>The potential list could be much longer, and the weights can be >>>>positive or negative, and varying by discipline. >>>> >>>>" >>>>The man who is ready to prove that metric knowledge is wholly >>>>impossible? is a brother metrician with rival metrics? ?????? >>>> >>>>>if you wanted to do this properly, you should have to take a lot of >>>>>outputs that were NOT submitted and run any metric scheme on them as >>>>>well as those submitted. >>>>>>too late:) >>> >>>You would indeed ?? and that??????s why it all has to be made OA? >>> >>>>>>On Wed, Dec 17, 2014 at 2:26 PM, Stevan Harnad >>>>>><harnad at ecs.soton.ac.uk > wrote: >>>>>>Steven Hill of HEFCE has posted ??????an overview of the work HEFCE >>>>>>are currently commissioning which they are hoping will build a robust >>>>>>evidence base for research assessment?????? in LSE Impact Blog 12(17) >>>>>>2014 entitled >>>>>>Time >>>>>>for REFlection: HEFCE look ahead to provide rounded evaluation of the REF >>>>>>Let me add a suggestion, updated for REF2014, that I have made before >>>>>>(unheeded): >>>>>>Scientometric predictors of research performance need to be validated >>>>>>by showing that they have a high correlation with the external >>>>>>criterion they are trying to predict. The UK Research Excellence >>>>>>Framework (REF) -- together with the growing movement toward making >>>>>>the full-texts of research articles freely available on the web -- >>>>>>offer a unique opportunity to test and validate a wealth of old and >>>>>>new scientometric predictors, through multiple regression analysis: >>>>>>Publications, journal impact factors, citations, co-citations, >>>>>>citation chronometrics (age, growth, latency to peak, decay rate), >>>>>>hub/authority scores, h-index, prior funding, student counts, >>>>>>co-authorship scores, endogamy/exogamy, textual proximity, >>>>>>download/co-downloads and their chronometrics, tweets, tags, etc.) >>>>>>can all be tested and validated jointly, discipline by discipline, >>>>>>against their REF panel rankings in REF2014. The weights of each >>>>>>predictor can be calibrated to maximize the joint correlation with >>>>>>the rankings. Open Access Scientometrics will provide powerful new >>>>>>means of navigating, evaluating, predicting and analyzing the growing >>>>>>Open Access database, as well as powerful incentives for making it grow faster. >>>>>>Harnad, S. (2009) Open Access >>>>>>Scientometrics and the UK Research Assessment Exercise. >>>>>>Scientometrics 79 (1) Also in Proceedings of 11th Annual Meeting of >>>>>>the International Society for Scientometrics and Informetrics 11(1), >>>>>>pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. (2007) >>>>>>See also: >>>>>>The >>>>>>Only Substitute for Metrics is Better Metrics (2014) >>>>>>and >>>>>>On >>>>>>Metrics and Metaphysics (2008) -------------- next part -------------- An HTML attachment was scrubbed... URL: From harnad at ECS.SOTON.AC.UK Thu Dec 18 14:18:26 2014 From: harnad at ECS.SOTON.AC.UK (Stevan Harnad) Date: Thu, 18 Dec 2014 14:18:26 -0500 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: <6.2.0.14.2.20141218125829.0584cad0@pop.craigellachie.us> Message-ID: > On Dec 18, 2014, at 12:58 PM, David Wojick wrote: > > Regarding the organization, I thought you were trying to match the REF rankings. Yes, I am. > Those were produced by a single organization, using a specific decision process, not by all the researchers and universities whose work was submitted. The decision process consisted of a panel of peers for each discipline who had to assess and rank the 4 papers per researcher from each university for research quality. (There were other considerations too, but I think everyone agrees that the bulk of the ranking was based on the 4 outputs per researcher per discipline per university.) > Also, the credibility I am referring to is that of the analysis, not of the metrics you choose to use. You seem to be giving this analysis more credence than it probably deserves. As i said, multiple regression analysis is a crude approach to decision modeling. The analysis consists of measuring the correlation of a battery of metrics with the REF rankings. The analysis has not been done. I merely proposed the method. So I am not sure what it is that is being given "more credence than it probably deserves.? (It?s certainly not my proposal to do this analysis that is getting "more credence than it probably deserves?: As I said, so far my proposal has been unheeded!) Let?s reserve judgment on how crude an approach it will be until it is tried, and we see how well it can predict the REF rankings. After that we can talk about refining it further. And it is not ?decision modelling? that is being proposed, but the testing of the power of a set of metrics to predict the REF rankings. But maybe the ?analysis? whose credibility you are questioning is the REF peer ranking itself? But that?s not what?s at issue here! What is being proposed is to validate a metric battery so that if it proves to predict the peer rankings (such as they are, warts and all) sufficiently well, then it can replace (or at least supplement) them. But those candidate metrics, until they are validated against some criterion, cannot have any credence at all: they are simply untested, unvalidated metrics. (This has not hitherto discouraged people from using them blindly as if they had been validated [e.g. the JIF], but we can?t do anything about that here! REF2014 provides an excellent opportunity to test and validate multiple metrics, at long last, weighing their independent predictive power.) You don?t think the REF2014 peer rankings for all disciplines in all institutions in all of the UK is a sufficiently good criterion against which to validate the metrics? Then please propose an alternative criterion. But not a hypothetical alternative that is not even as available as the REF rankings and what metric and OA data we have so far. An alternative that is as readily doable as what we have in hand, with REF2014. (This is where you can help out by backing the most effective OA policy for the US federal agencies, based on the evidence, so that those policies can then generate the OA that will maximize the predictive power of the metrics that depend on OA.) > I do not see what any of this has to do with OA policy, especially US policy, just because you want to do some computations based on the REF results. And it sounds like you cannot do them because the metrical data is not available. It is a possibly interesting experiment, but that is all as far as I can see, not a reason to make or change policies. I stated exactly what it has to do with OA policy: Many of these potential metrics are unavailable or only partially available because the research publications are not OA. This means that the proposed analysis will underestimate the power of metrics because the underlying data is only partly available. Effective OA policies will generate that missing OA, maximizing the predictive power of the metrics. (By the way, the analysis we have used to test and validate the metrics that predict the effectiveness of OA policies is very similar to the analysis I have proposed to test and validate the metrics that predict the REF rankings.) Harnad, S. (2009) Open Access Scientometrics and the UK Research Assessment Exercise . Scientometrics 79 (1) Also in Proceedings of 11th Annual Meeting of the International Society for Scientometrics and Informetrics 11(1), pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. (2007) Gargouri, Y, Lariviere, V, Gingras, Y, Brody, T, Carr, L and Harnad, S (2012) Testing the Finch Hypothesis on Green OA Mandate Ineffectiveness. Open Access Week 2012 http://eprints.soton.ac.uk/344687/ Vincent-Lamarre, Philippe, Boivin, Jade, Gargouri, Yassine, Larivi?re, Vincent and Harnad, Stevan (2014) Estimating Open Access Mandate Effectiveness: I. The MELIBEA Score. (under review) http://eprints.soton.ac.uk/370203/ > At 12:39 PM 12/18/2014, you wrote: >> Adminstrative info for SIGMETRICS (for example unsubscribe): http://web.utk.edu/~gwhitney/sigmetrics.html On Dec 18, 2014, at 10:57 AM, David Wojick > wrote: >>> >>> This does sound interesting, Stevan, especially if you got an unexpected result. >> >> The objective is actually not to get an unexpected result, David, but to generate a battery of metrics that predicts the actual REF2014 peer ranking as closely as possible, so that in REF2020 it can be the metrics rather than the peers that do the ranking. >> >>> But I doubt it would validate or invalidate any scientometric predictors. >> >> A high correlation would certainly validate the REF battery, for the REF. >> >>> It is basically a decision model for a single organization going through a more or less single, albeit complex, decision exercise. To begin with, it is just one organization. >> >> All researchers, at all UK institutions, in each discipline, is a ???single organization???? >> >> (To paraphrase an erstwhile UK researcher: "some organization!" "some singularity!") >> >> The UK does 6-11% of the world???s research. Not a bad sample, I???d say, for a first pass at validating those metrics. >> >>> Then too, simple multiple regression seems like a very crude way to derive such a model. >> >> Simple multiple regression is a natural first step. (I agree that after that more sophisticated analyses will be possible too.) >> >>> The large number of factors is also a concern, as others have noted, especially if we are trying to establish causality. >> >> For the REF, all you need is predictivity. But I agree that causality too is important, and with continuous assessment instead of just stratified post-hoc sampling, it will be possible to make much more powerful use of the time domain. >> >> (I don???t think a starting battery of 30 metrics would be too many -- far from it. But some of them will prove to have low or no Beta weights. That???s why metric validation is an empirical exercise.) >> >>> I would think that the more factors used the less credible the result. >> >> The credibility of each metric will be the proportion of the total variance that it accounts for. It is an empirical question whether a few metrics will account for the lion???s share of the variance, and the rest will have negligibly small or no weights. >> >>> But then we also need to think that we have all the significant factors, don't we? Perhaps not. Are there useful precedents for this? >> >> I am certain that my back-of-the-matchbox list of candidate metrics was neither exhaustive nor optimal. It was just indicative. All other credible candidates are welcome! >> >> REF2020Rank = >> >> w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) + w6(hits) + w7(cite-peak-latency) + w8(hit-peak-latency) + w9(citedecay) + w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), + w25(comments) + w26(acad-likes) etc. etc. >> >> >> >>> Finally, is all the needed data available and how much might this cost? >> >> The REF2014 data were released today and are available at once, for testing against metrics, discipline by discipline. >> >> What???s still very sparse and gappy is the availability of the 26 OA metrics sketched above ? and that???s because a lot of the source material is not yet OA. The proprietary databases (like WoS and SCOPUS) are not OA either. But if the papers were all OA, then the metrics could all easily be harvested and calculated from them. >> >>> I guess that if I were peer reviewing this as a preliminary proposal I would be positive but not enthusiastic. More information is needed about the proposed project and its goals. >> >> I wasn???t actually counting on your recommendation for peer review of the proposal to validate metrics against REF2014, David: I was rather hoping it might help inspire you to recommend the right OA policy model to OSTI for which you consult. That way we would have a better hope of making the all-important OA data available when President Obama???s OSTP directive is implemented... >> >>> At 07:23 AM 12/18/2014, you wrote: >>>> Adminstrative info for SIGMETRICS (for example unsubscribe): http://web.utk.edu/~gwhitney/sigmetrics.html >>>>> On Dec 18, 2014, at 3:39 AM, [name deleted because posted off-list] wrote: >>>>> >>>>> that's very high dimensionality in that equation. >>>> >>>> I don??????t think 30 metric predictors for about 6% of the planet??????s annual research output (UK) is such an under-fit. >>>> >>>> (But we could start with the most likely metrics first, and then see how much variance is accounted for by adding more.) >>>> >>>>> you don't have enough data points to have any decent confidence about those weights - i >>>> >>>> That cannot be stated in advance. First we need to calculate the multiple regression on the REF2014 rankings and determine how much each metric contributes. >>>> >>>>> suggest you look at the REF data? >>>>> and see how many different journal/venues and all over the ACM Classification hierarchy, the 7000 odd outputs appeared in - you'll find in any given venue, topic you rarely have more than a handful of items - your variance will be terrible >>>> >>>> The proposal is not to assess the predictive power of any one of the 4 publications submitted. >>>> >>>> The REF2014 peer rankings themselves are based on peers (putatively) re-reading those 4 pubs per researcher, but the regression equation I sketched is based on (OA) data that go far beyond that. >>>> >>>> (In point of fact, it??????s absurd and arbitrary to base the REF assessment on just 4 papers in a 6-year stretch. That restriction is dictated by the demands of the peers having to read all those papers, but open-access metrics can be harvested and have no such human bottleneck constraint on them. What you could complain, legitimately, is that not all those potential data are OA yet... Well, yes ?????? and that??????s part of the point.) >>>> >>>> REF2020Rank = >>>> >>>> w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) + w6(hits) + w7(cite-peak-latency) + w8(hit-peak-latency) + w9(citedecay) + w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), + w25(comments) + w26(acad-likes) etc. etc. >>>> >>>>> and the result of munging all those _different_ distributions into one single model will be to prssure people to move their work areas to the best fit topic/venue, which is not a true measure of anything desired by us of HEFCE or RC.UK to my knowledge. >>>> >>>> I cannot fathom what one, two, three or N things a researcher can do in order to maximize their score on the above equation (other than to try to do good, important, useful work? >>>> ). >>>> >>>>> please do the detailed work? >>>>> >>>> >>>> Will try. But there a few details you need to get straight too? >>>> (<:3 >>>> >>>>> >>>>> On Wed, Dec 17, 2014 at 3:38 PM, Stevan Harnad > wrote: >>>>>> >>>>>> On Dec 17, 2014, at 9:54 AM, Alan Burns > wrote: >>>>>> Those that advocate metrics have never, to at least my satisfaction, answered the >>>>>> argument that accuracy in the past does not mean effectiveness in the future, >>>>>> once the game has changed. >>>>> I recommend Bradley on metaphysics and Hume on induction : >>>>> " The man who is ready to prove that metaphysical knowledge is wholly impossible? >>>>> is a brother metaphysician with a rival theory ?????? Bradley, F. H. (1893) Appearance and Reality >>>>> One could have asked the same question about apples continuing to fall down in future, rather than up. >>>>> Yes, single metrics can be abused, but not only van abuses be named and shamed when detected, but it become harder to abuse metrics when they are part of a multiple, inter-correlated vector, with disciplinary profiles on their normal interactions: someone dispatching a robot to download his papers would quickly be caught out when the usual correlation between downloads and later citations fails to appear. Add more variables and it gets even harder, >>>>> >>>>>> Even if one was able to define a set of metrics that perfectly matches REF2014. >>>>>> The announcement that these metric would be used in REF2020 would >>>>>> immediately invalidate there use. >>>>> >>>>> In a weighted vector of multiple metrics like the sample I had listed, it??????s no use to a researcher if told that for REF2020 the mertic equation will be the following, with the following weights for their particular discipline: >>>>> >>>>> w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) w6(hits) +w7(cite-peak-latency) + w8(hit-peak-latency) +w9(citedecay) +w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), +w25(comments) + w26(acad-likes) etc. etc. >>>>> >>>>> >>>>> The potential list could be much longer, and the weights can be positive or negative, and varying by discipline. >>>>> >>>>> " The man who is ready to prove that metric knowledge is wholly impossible? >>>>> is a brother metrician with rival m etrics? >>>>> ?????? >>>>> >>>>> >>>>> if you wanted to do this properly, you should have to take a lot of outputs that were NOT submitted and run any metric scheme on them as well as those submitted. >>>>>> >>>>>> too late:) >>> >>> You would indeed ?? and that??????s why it all has to be made OA? >>> >>> >>>>>> On Wed, Dec 17, 2014 at 2:26 PM, Stevan Harnad > wrote: >>>>>> Steven Hill of HEFCE has posted ??????an overview of the work HEFCE are currently commissioning which they are hoping will build a robust evidence base for research assessment?????? in LSE Impact Blog 12(17) 2014 entitled Time for REFlection: HEFCE look ahead to provide rounded evaluation of the REF >>>>>> Let me add a suggestion, updated for REF2014, that I have made before (unheeded): >>>>>> Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Excellence Framework (REF) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, tweets, tags, etc.) can all be tested and validated jointly, discipline by discipline, against their REF panel rankings in REF2014. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster. >>>>>> Harnad, S. (2009) Open Access Scientometrics and the UK Research Assessment Exercise . Scientometrics 79 (1) Also in Proceedings of 11th Annual Meeting of the International Society for Scientometrics and Informetrics 11(1), pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. (2007) >>>>>> See also: >>>>>> The Only Substitute for Metrics is Better Metrics (2014) >>>>>> and >>>>>> On Metrics and Metaphysics (2008) -------------- next part -------------- An HTML attachment was scrubbed... URL: From notsjb at LSU.EDU Thu Dec 18 15:21:51 2014 From: notsjb at LSU.EDU (Stephen J Bensman) Date: Thu, 18 Dec 2014 20:21:51 +0000 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: Message-ID: Just for the hell of it, I would like to propose a method for judging whether one university is doing better than another in a given discipline. It is based on the power-law model or Lotkaian informetrics and the impact factor. As you know, Garfield favored the impact factor because it corrected for physical and temporal size and brought to the top the review journals, whose importance lay at the basis of his theory of scientific progress and citation indexing. However, there is a significant correlation between current citation rate (the impact factor) and total citations, which are heavily influenced by temporal and physical size. That means that the older, bigger, more prestigious journals?Matthew Effect--tend to have a higher IF. If you take a JCR subject category?bad as these things are?and graph the distribution of the journals in that category by impact factor, they will form a negative exponential power-law curve. Then take the publications of the two universities you want to compare. The university, whose publications concentrate further to the right on the asymptote?particularly at the tip, where the review journals are?is having a greater impact on the discipline than the other one is. You could even divide the asymptote into deciles for metric purposes. Simple, visible, and easily understood. Citations correlate very well with peer ratings?the higher the citations from documents with more citations themselves, the greater the correlations, as was proven by Narin and Page even at the semantic level. Respectfully, Stephen J Bensman, Ph.D. LSU Libraries Lousiana State University Baton Rouge, LA 70803 From: ASIS&T Special Interest Group on Metrics [mailto:SIGMETRICS at LISTSERV.UTK.EDU] On Behalf Of Stevan Harnad Sent: Thursday, December 18, 2014 1:18 PM To: SIGMETRICS at LISTSERV.UTK.EDU Subject: Re: [SIGMETRICS] Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 Adminstrative info for SIGMETRICS (for example unsubscribe): http://web.utk.edu/~gwhitney/sigmetrics.html On Dec 18, 2014, at 12:58 PM, David Wojick > wrote: Regarding the organization, I thought you were trying to match the REF rankings. Yes, I am. Those were produced by a single organization, using a specific decision process, not by all the researchers and universities whose work was submitted. The decision process consisted of a panel of peers for each discipline who had to assess and rank the 4 papers per researcher from each university for research quality. (There were other considerations too, but I think everyone agrees that the bulk of the ranking was based on the 4 outputs per researcher per discipline per university.) Also, the credibility I am referring to is that of the analysis, not of the metrics you choose to use. You seem to be giving this analysis more credence than it probably deserves. As i said, multiple regression analysis is a crude approach to decision modeling. The analysis consists of measuring the correlation of a battery of metrics with the REF rankings. The analysis has not been done. I merely proposed the method. So I am not sure what it is that is being given "more credence than it probably deserves.? (It?s certainly not my proposal to do this analysis that is getting "more credence than it probably deserves?: As I said, so far my proposal has been unheeded!) Let?s reserve judgment on how crude an approach it will be until it is tried, and we see how well it can predict the REF rankings. After that we can talk about refining it further. And it is not ?decision modelling? that is being proposed, but the testing of the power of a set of metrics to predict the REF rankings. But maybe the ?analysis? whose credibility you are questioning is the REF peer ranking itself? But that?s not what?s at issue here! What is being proposed is to validate a metric battery so that if it proves to predict the peer rankings (such as they are, warts and all) sufficiently well, then it can replace (or at least supplement) them. But those candidate metrics, until they are validated against some criterion, cannot have any credence at all: they are simply untested, unvalidated metrics. (This has not hitherto discouraged people from using them blindly as if they had been validated [e.g. the JIF], but we can?t do anything about that here! REF2014 provides an excellent opportunity to test and validate multiple metrics, at long last, weighing their independent predictive power.) You don?t think the REF2014 peer rankings for all disciplines in all institutions in all of the UK is a sufficiently good criterion against which to validate the metrics? Then please propose an alternative criterion. But not a hypothetical alternative that is not even as available as the REF rankings and what metric and OA data we have so far. An alternative that is as readily doable as what we have in hand, with REF2014. (This is where you can help out by backing the most effective OA policy for the US federal agencies, based on the evidence, so that those policies can then generate the OA that will maximize the predictive power of the metrics that depend on OA.) I do not see what any of this has to do with OA policy, especially US policy, just because you want to do some computations based on the REF results. And it sounds like you cannot do them because the metrical data is not available. It is a possibly interesting experiment, but that is all as far as I can see, not a reason to make or change policies. I stated exactly what it has to do with OA policy: Many of these potential metrics are unavailable or only partially available because the research publications are not OA. This means that the proposed analysis will underestimate the power of metrics because the underlying data is only partly available. Effective OA policies will generate that missing OA, maximizing the predictive power of the metrics. (By the way, the analysis we have used to test and validate the metrics that predict the effectiveness of OA policies is very similar to the analysis I have proposed to test and validate the metrics that predict the REF rankings.) Harnad, S. (2009) Open Access Scientometrics and the UK Research Assessment Exercise. Scientometrics 79 (1) Also in Proceedings of 11th Annual Meeting of the International Society for Scientometrics and Informetrics 11(1), pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. (2007) Gargouri, Y, Lariviere, V, Gingras, Y, Brody, T, Carr, L and Harnad, S (2012) Testing the Finch Hypothesis on Green OA Mandate Ineffectiveness. Open Access Week 2012 http://eprints.soton.ac.uk/344687/ Vincent-Lamarre, Philippe, Boivin, Jade, Gargouri, Yassine, Larivi?re, Vincent and Harnad, Stevan (2014) Estimating Open Access Mandate Effectiveness: I. The MELIBEA Score. (under review) http://eprints.soton.ac.uk/370203/ At 12:39 PM 12/18/2014, you wrote: Adminstrative info for SIGMETRICS (for example unsubscribe): http://web.utk.edu/~gwhitney/sigmetrics.html On Dec 18, 2014, at 10:57 AM, David Wojick > wrote: This does sound interesting, Stevan, especially if you got an unexpected result. The objective is actually not to get an unexpected result, David, but to generate a battery of metrics that predicts the actual REF2014 peer ranking as closely as possible, so that in REF2020 it can be the metrics rather than the peers that do the ranking. But I doubt it would validate or invalidate any scientometric predictors. A high correlation would certainly validate the REF battery, for the REF. It is basically a decision model for a single organization going through a more or less single, albeit complex, decision exercise. To begin with, it is just one organization. All researchers, at all UK institutions, in each discipline, is a ???single organization???? (To paraphrase an erstwhile UK researcher: "some organization!" "some singularity!") The UK does 6-11% of the world???s research. Not a bad sample, I???d say, for a first pass at validating those metrics. Then too, simple multiple regression seems like a very crude way to derive such a model. Simple multiple regression is a natural first step. (I agree that after that more sophisticated analyses will be possible too.) The large number of factors is also a concern, as others have noted, especially if we are trying to establish causality. For the REF, all you need is predictivity. But I agree that causality too is important, and with continuous assessment instead of just stratified post-hoc sampling, it will be possible to make much more powerful use of the time domain. (I don???t think a starting battery of 30 metrics would be too many -- far from it. But some of them will prove to have low or no Beta weights. That???s why metric validation is an empirical exercise.) I would think that the more factors used the less credible the result. The credibility of each metric will be the proportion of the total variance that it accounts for. It is an empirical question whether a few metrics will account for the lion???s share of the variance, and the rest will have negligibly small or no weights. But then we also need to think that we have all the significant factors, don't we? Perhaps not. Are there useful precedents for this? I am certain that my back-of-the-matchbox list of candidate metrics was neither exhaustive nor optimal. It was just indicative. All other credible candidates are welcome! REF2020Rank = w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) + w6(hits) + w7(cite-peak-latency) + w8(hit-peak-latency) + w9(citedecay) + w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), + w25(comments) + w26(acad-likes) etc. etc. Finally, is all the needed data available and how much might this cost? The REF2014 data were released today and are available at once, for testing against metrics, discipline by discipline. What???s still very sparse and gappy is the availability of the 26 OA metrics sketched above ? and that???s because a lot of the source material is not yet OA. The proprietary databases (like WoS and SCOPUS) are not OA either. But if the papers were all OA, then the metrics could all easily be harvested and calculated from them. I guess that if I were peer reviewing this as a preliminary proposal I would be positive but not enthusiastic. More information is needed about the proposed project and its goals. I wasn???t actually counting on your recommendation for peer review of the proposal to validate metrics against REF2014, David: I was rather hoping it might help inspire you to recommend the right OA policy model to OSTI for which you consult. That way we would have a better hope of making the all-important OA data available when President Obama???s OSTP directive is implemented... At 07:23 AM 12/18/2014, you wrote: Adminstrative info for SIGMETRICS (for example unsubscribe): http://web.utk.edu/~gwhitney/sigmetrics.html On Dec 18, 2014, at 3:39 AM, [name deleted because posted off-list] wrote: that's very high dimensionality in that equation. I don??????t think 30 metric predictors for about 6% of the planet??????s annual research output (UK) is such an under-fit. (But we could start with the most likely metrics first, and then see how much variance is accounted for by adding more.) you don't have enough data points to have any decent confidence about those weights - i That cannot be stated in advance. First we need to calculate the multiple regression on the REF2014 rankings and determine how much each metric contributes. suggest you look at the REF data?? and see how many different journal/venues and all over the ACM Classification hierarchy, the 7000 odd outputs appeared in - you'll find in any given venue, topic you rarely have more than a handful of items - your variance will be terrible The proposal is not to assess the predictive power of any one of the 4 publications submitted. The REF2014 peer rankings themselves are based on peers (putatively) re-reading those 4 pubs per researcher, but the regression equation I sketched is based on (OA) data that go far beyond that. (In point of fact, it??????s absurd and arbitrary to base the REF assessment on just 4 papers in a 6-year stretch. That restriction is dictated by the demands of the peers having to read all those papers, but open-access metrics can be harvested and have no such human bottleneck constraint on them. What you could complain, legitimately, is that not all those potential data are OA yet... Well, yes ?????? and that??????s part of the point.) REF2020Rank = w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) + w6(hits) + w7(cite-peak-latency) + w8(hit-peak-latency) + w9(citedecay) + w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), + w25(comments) + w26(acad-likes) etc. etc. and the result of munging all those _different_ distributions into one single model will be to prssure people to move their work areas to the best fit topic/venue, which is not a true measure of anything desired by us of HEFCE or RC.UK to my knowledge. I cannot fathom what one, two, three or N things a researcher can do in order to maximize their score on the above equation (other than to try to do good, important, useful work??). please do the detailed work?? Will try. But there a few details you need to get straight too?? (<:3 On Wed, Dec 17, 2014 at 3:38 PM, Stevan Harnad > wrote: On Dec 17, 2014, at 9:54 AM, Alan Burns > wrote: Those that advocate metrics have never, to at least my satisfaction, answered the argument that accuracy in the past does not mean effectiveness in the future, once the game has changed. I recommend Bradley on metaphysics and Hume on induction: " The man who is ready to prove that metaphysical knowledge is wholly impossible?? is a brother metaphysician with a rival theory?????? Bradley, F. H. (1893) Appearance and Reality One could have asked the same question about apples continuing to fall down in future, rather than up. Yes, single metrics can be abused, but not only van abuses be named and shamed when detected, but it become harder to abuse metrics when they are part of a multiple, inter-correlated vector, with disciplinary profiles on their normal interactions: someone dispatching a robot to download his papers would quickly be caught out when the usual correlation between downloads and later citations fails to appear. Add more variables and it gets even harder, Even if one was able to define a set of metrics that perfectly matches REF2014. The announcement that these metric would be used in REF2020 would immediately invalidate there use. In a weighted vector of multiple metrics like the sample I had listed, it??????s no use to a researcher if told that for REF2020 the mertic equation will be the following, with the following weights for their particular discipline: w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) w6(hits) +w7(cite-peak-latency) + w8(hit-peak-latency) +w9(citedecay) +w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), +w25(comments) + w26(acad-likes) etc. etc. The potential list could be much longer, and the weights can be positive or negative, and varying by discipline. " The man who is ready to prove that metric knowledge is wholly impossible?? is a brother metrician with rival metrics???????? if you wanted to do this properly, you should have to take a lot of outputs that were NOT submitted and run any metric scheme on them as well as those submitted. too late:) You would indeed ?? and that??????s why it all has to be made OA?? On Wed, Dec 17, 2014 at 2:26 PM, Stevan Harnad > wrote: Steven Hill of HEFCE has posted ??????an overview of the work HEFCE are currently commissioning which they are hoping will build a robust evidence base for research assessment?????? in LSE Impact Blog 12(17) 2014 entitled Time for REFlection: HEFCE look ahead to provide rounded evaluation of the REF Let me add a suggestion, updated for REF2014, that I have made before (unheeded): Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Excellence Framework (REF) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, tweets, tags, etc.) can all be tested and validated jointly, discipline by discipline, against their REF panel rankings in REF2014. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster. Harnad, S. (2009) Open Access Scientometrics and the UK Research Assessment Exercise. Scientometrics 79 (1) Also in Proceedings of 11th Annual Meeting of the International Society for Scientometrics and Informetrics 11(1), pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. (2007) See also: The Only Substitute for Metrics is Better Metrics (2014) and On Metrics and Metaphysics (2008) -------------- next part -------------- An HTML attachment was scrubbed... URL: From mc.wilson at AUCKLAND.AC.NZ Thu Dec 18 15:45:19 2014 From: mc.wilson at AUCKLAND.AC.NZ (Mark C. Wilson) Date: Fri, 19 Dec 2014 09:45:19 +1300 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: Message-ID: Hi Unless I misunderstood that, you are proposing comparing "academic units? by where their publications lie on the JIF distribution. Surely it would be better to see where the actual papers lie on the individual paper citation distribution for each field. Hasn?t JIF been sufficiently discredited for measuring individual papers and researchers, e.g. by Brembs/Munafo:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690355/ ? Even aggregating authors into departments would produce much less reliable results than looking at the citations of the papers themselves, I guess. Is there perhaps a data collection problem, that led you to propose what I think you did? Dr Mark C. Wilson Department of Computer Science, University of Auckland | www.cs.auckland.ac.nz/~mcw/blog/ Director, Centre for Mathematical Social Sciences: cmss.auckland.ac.nz | Managing Editor, OJAC: analytic-combinatorics.org Please don't send me Microsoft Office attachments | I'm boycotting Elsevier - see thecostofknowledge.com > On 19/12/2014, at 9:21, Stephen J Bensman wrote: > >> Just for the hell of it, I would like to propose a method for judging whether one university is doing better than another in a given discipline. It is based on the power-law model or Lotkaian informetrics and the impact factor. As you know, Garfield favored the impact factor because it corrected for physical and temporal size and brought to the top the review journals, whose importance lay at the basis of his theory of scientific progress and citation indexing. However, there is a significant correlation between current citation rate (the impact factor) and total citations, which are heavily influenced by temporal and physical size. That means that the older, bigger, more prestigious journals?Matthew Effect--tend to have a higher IF. If you take a JCR subject category?bad as these things are?and graph the distribution of the journals in that category by impact factor, they will form a negative exponential power-law curve. Then take the publications of the two universities you want to compare. The university, whose publications concentrate further to the right on the asymptote?particularly at the tip, where the review journals are?is having a greater impact on the discipline than the other one is. You could even divide the asymptote into deciles for metric purposes. Simple, visible, and easily understood. Citations correlate very well with peer ratings?the higher the citations from documents with more citations themselves, the greater the correlations, as was proven by Narin and Page even at the semantic level. >> >> Respectfully, >> >> Stephen J Bensman, Ph.D. >> LSU Libraries >> Lousiana State University >> Baton Rouge, LA 70803 >> >> From harnad at ECS.SOTON.AC.UK Thu Dec 18 15:56:06 2014 From: harnad at ECS.SOTON.AC.UK (Stevan Harnad) Date: Thu, 18 Dec 2014 15:56:06 -0500 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: Message-ID: I agree completely with Mark and cannot imagine why Stephen would consider resurrecting the JIF. At most it deserves to be only one (hybrid) metric among many, and I bet it will prove to carry little independent weight beside the more direct measures such as article or author citations, alongside chronometrics (latency, peak, longevity). > On Dec 18, 2014, at 3:45 PM, Mark C. Wilson wrote: > > Adminstrative info for SIGMETRICS (for example unsubscribe): > http://web.utk.edu/~gwhitney/sigmetrics.html > > Hi > > Unless I misunderstood that, you are proposing comparing "academic units? by where their publications lie on the JIF distribution. Surely it would be better to see where the actual papers lie on the individual paper citation distribution for each field. Hasn?t JIF been sufficiently discredited for measuring individual papers and researchers, e.g. by Brembs/Munafo:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690355/ ? > > Even aggregating authors into departments would produce much less reliable results than looking at the citations of the papers themselves, I guess. Is there perhaps a data collection problem, that led you to propose what I think you did? > > Dr Mark C. Wilson > Department of Computer Science, University of Auckland | www.cs.auckland.ac.nz/~mcw/blog/ > Director, Centre for Mathematical Social Sciences: cmss.auckland.ac.nz | Managing Editor, OJAC: analytic-combinatorics.org > Please don't send me Microsoft Office attachments | I'm boycotting Elsevier - see thecostofknowledge.com > > >> On 19/12/2014, at 9:21, Stephen J Bensman wrote: >> >>> Just for the hell of it, I would like to propose a method for judging whether one university is doing better than another in a given discipline. It is based on the power-law model or Lotkaian informetrics and the impact factor. As you know, Garfield favored the impact factor because it corrected for physical and temporal size and brought to the top the review journals, whose importance lay at the basis of his theory of scientific progress and citation indexing. However, there is a significant correlation between current citation rate (the impact factor) and total citations, which are heavily influenced by temporal and physical size. That means that the older, bigger, more prestigious journals?Matthew Effect--tend to have a higher IF. If you take a JCR subject category?bad as these things are?and graph the distribution of the journals in that category by impact factor, they will form a negative exponential power-law curve. Then take the publications of the two universities you want to compare. The university, whose publications concentrate further to the right on the asymptote?particularly at the tip, where the review journals are?is having a greater impact on the discipline than the other one is. You could even divide the asymptote into deciles for metric purposes. Simple, visible, and easily understood. Citations correlate very well with peer ratings?the higher the citations from documents with more citations themselves, the greater the correlations, as was proven by Narin and Page even at the semantic level. >>> >>> Respectfully, >>> >>> Stephen J Bensman, Ph.D. >>> LSU Libraries >>> Lousiana State University >>> Baton Rouge, LA 70803 >>> >>> From eugene.garfield at THOMSONREUTERS.COM Thu Dec 18 19:09:54 2014 From: eugene.garfield at THOMSONREUTERS.COM (Eugene Garfield) Date: Fri, 19 Dec 2014 00:09:54 +0000 Subject: Papers of interest to readers of the SIG-Metrics list (December 18, 2014 #1) Message-ID: * Title: The Most-Cited Articles from the Iowa Law Review Authors: Shapiro, FR Author Full Names: Shapiro, Fred R. Source: IOWA LAW REVIEW, 100 (1):1-6; NOV 2014 Language: English Document Type: Editorial Material Addresses: Yale Univ, Law Sch, New Haven, CT 06520 USA. Cited Reference Count: 11 Times Cited: 0 Publisher: UNIV IOWA, COLL LAW, 290 BOYD LAW BLDG, IOWA CITY, IA 52242 USA ISSN: 0021-0552 Web of Science Categories: Law Research Areas: Government & Law IDS Number: AS7LD Unique ID: WOS:000344436700001 Cited References: Shapiro FR, 2000, JOURNAL OF LEGAL STUDIESConference on Interpreting Legal Citations, APR 10, 1999, EVANSTON, ILLINOIS, V29, P397 Shapiro Fred R., 1996, CHI.-KENT L. REV., V71, P751 Lawani Stephen M., 1983, J. AM. SOC'Y FOR INFO. SCI., V34, P61 FISS OM, 1986, IOWA LAW REVIEW, V71, P1405 Shapiro Fred R., 1991, YALE L.J., V100, P1449 Shapiro Fred R., 2012, MICHIGAN LAW REVIEW, V110, P1483 Shapiro FR, 2000, JOURNAL OF LEGAL STUDIESConference on Interpreting Legal Citations, APR 10, 1999, EVANSTON, ILLINOIS, V29, P409 SHAPIRO FR, 1985, CALIFORNIA LAW REVIEW, V73, P1540 WALD PM, 1983, IOWA LAW REVIEW, V68, P195 Shapiro FR, 2000, JOURNAL OF LEGAL STUDIESConference on Interpreting Legal Citations, APR 10, 1999, EVANSTON, ILLINOIS, V29, P389 LAWANI SM, 1983, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V34, P59 *=========================================================== Title: Bibliometric Indices and Academic Promotion within Plastic Surgery Authors: Gast, KM; Kuzon, WM; Waljee, JF Author Full Names: Gast, Katherine M.; Kuzon, William M., Jr.; Waljee, Jennifer F. Source: PLASTIC AND RECONSTRUCTIVE SURGERY, 134 (5):838E-844E; 10.1097/PRS.0000000000000594 NOV 2014 Language: English Document Type: Article KeyWords Plus: H-INDEX; SCHOLARLY PRODUCTIVITY; UNITED-STATES; CITATION; IMPACT; ASSOCIATION; PERFORMANCE; RADIOLOGY; OUTPUT; POWER Abstract: Background: Bibliometric indices are proposed measures to quantitatively and qualitatively evaluate scholarly output within academic medicine. The authors sought to validate bibliometric indices as an indicator of academic productivity within plastic surgery and their association with promotion of faculty surgeons in academic practice. Methods: The authors examined faculty members (n = 127) from the 10 accredited plastic surgery training institutions with the most graduates currently in academic practice. As a measure of content validity, the authors included past winners of the American Association of Plastic Surgeons Research Achievement Award (n = 8). Individual bibliometric indices, including h-index, contemporary h-index, and g-index, were calculated. An h-index of 10 indicates that a surgeon has 10 publications with at least 10 citations per article. Cutoff values for academic promotion were calculated using receiver operating characteristic curves. Results: Bibliometric indices, including h-index, g-index, contemporary h-index, and number of peer-reviewed publications, increased with academic rank and were highest among American Association of Plastic Surgeons Research Achievement Award winners. Cutoffs for promotion to associate and professor ranks were as follows: h-index, 8.5 and 14.5; g-index, 14.5 and 27.5; contemporary h-index, 5.5 and 9.5; and number of publications, 29.5 and 48, respectively. After controlling for fellowship training and advanced degrees, h-index was most strongly correlated with promotion to associate (OR, 1.20; 95% CI, 1.10 to 1.32) and full professor (OR, 1.17; 95% CI, 1.06 to 1.29). Total number of publications was least predictive of promotion. Conclusion: Bibliometric indices predict promotion in academic surgery and provide a useful metric for surgeons embarking on a career in academia. Addresses: [Gast, Katherine M.; Kuzon, William M., Jr.; Waljee, Jennifer F.] Univ Michigan Hlth Syst, Sect Plast Surg, Dept Surg, Ann Arbor, MI 48109 USA. E-mail Addresses: filip at med.umich.edu Funding Acknowledgement: University of Michigan Department of Surgery Funding Text: Funding for this study was in the form of salary support for Katherine M. Gast, M. D., M. S., from the University of Michigan Department of Surgery during her integrated plastic surgery residency academic development time. Cited Reference Count: 29 Times Cited: 0 Publisher: LIPPINCOTT WILLIAMS & WILKINS, 530 WALNUT ST, PHILADELPHIA, PA 19106-3621 USA ISSN: 0032-1052 eISSN: 1529-4242 Web of Science Categories: Surgery Research Areas: Surgery IDS Number: AS9EN Unique ID: WOS:000344546000021 PubMed ID: 25347660 Cited References: Sidiropoulos Antonis, 2007, SCIENTOMETRICS, V72, P253 Benway Brian M., 2009, UROLOGY, V74, P30 Agarwal Nitin, 2013, World neurosurgery, V80, P738 Hirsch J. E., 2007, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V104, P19193 Stidham Ryan W., 2012, GASTROENTEROLOGY, V143, P520 Thompson Dennis F., 2009, AMERICAN JOURNAL OF PHARMACEUTICAL EDUCATION, V73, Baldwin Constance, 2011, TEACHING AND LEARNING IN MEDICINE, V23, P285 Pagel P. S., 2011, ANAESTHESIA, V66, P873 IBM Corp, 2012, IBM SPSS statistics for Windows, Version 21.0, Patel Vanash M., 2013, MEDICAL PRINCIPLES AND PRACTICE, V22, P178 Eloy Jean Anderson, 2013, OTOLARYNGOLOGY-HEAD AND NECK SURGERY, V148, P215 van Eck Nees Jan, 2013, PLOS ONE, V8, Kelly Clint D., 2007, NATURE, V449, P403 Sharma Bharat, 2013, SURGERY, V153, P493 Papaconstantinou Harry T, 2006, Clinics in colon and rectal surgery, V19, P143 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Rad Arash Ehteshami, 2010, ACADEMIC RADIOLOGY, V17, P817 Svider Peter F., 2014, OPHTHALMOLOGY, V121, P423 [Anonymous], 2009, Mosby's Medical Dictionary, von Bohlen Und, 2011, Ann Anat, V193, P191 Egghe Leo, 2006, SCIENTOMETRICS, V69, P131 Lee Janet, 2009, JOURNAL OF NEUROSURGERY, V111, P387 Turaga Kiran K., 2012, JOURNAL OF SURGICAL EDUCATION, V69, P499 Hajian-Tilaki Karimollah, 2013, Caspian journal of internal medicine, V4, P627 Rad Arash Ehteshami, 2012, ACADEMIC RADIOLOGY, V19, P455 Harzing A-W, 2010, The Publish or Perish Book: Your Guide to Effective and Responsible Citation Analysis, Spearman Christopher M., 2010, JOURNAL OF NEUROSURGERY, V113, P929 Svider Peter F., 2013, LARYNGOSCOPE, V123, P884 Beasley BW, 1997, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V278, P723 Title: Scientific publications in andrology journals from Chinese authors in various parts of East Asia: a 10-year survey of the literature Authors: Zhang, W; Wu, TY; Xu, CL; Jiang, CL; Zhou, T; Sun, YH Author Full Names: Zhang, Wei; Wu, Teng-Yun; Xu, Chuan-Liang; Jiang, Chun-Lei; Zhou, Tie; Sun, Ying-Hao Source: ASIAN JOURNAL OF ANDROLOGY, 16 (6):934-936; 10.4103/1008-682X.136448 NOV-DEC 2014 Language: English Document Type: Letter Addresses: [Zhang, Wei; Xu, Chuan-Liang; Zhou, Tie; Sun, Ying-Hao] Second Mil Med Univ, Changhai Hosp, Dept Urol, Shanghai, Peoples R China. [Wu, Teng-Yun; Jiang, Chun-Lei] Second Mil Med Univ, Fac Psychol & Mental Hlth, Dept Psychol & Mental Hlth, Shanghai, Peoples R China. E-mail Addresses: wenzhoutie at 163.com; sunyh at medmail.com.cn Cited Reference Count: 13 Times Cited: 0 Publisher: MEDKNOW PUBLICATIONS & MEDIA PVT LTD, B-9, KANARA BUSINESS CENTRE, OFF LINK RD, GHAKTOPAR-E, MUMBAI, 400075, INDIA ISSN: 1008-682X eISSN: 1745-7262 Web of Science Categories: Andrology; Urology & Nephrology Research Areas: Endocrinology & Metabolism; Urology & Nephrology IDS Number: AS8WQ Unique ID: WOS:000344526300037 PubMed ID: 25155107 Cited References: Chen Zhu, 2009, LANCET, V373, P1322 Wu Lijuan, 2014, MEDICAL EDUCATION ONLINE, V19, Oh H. C., 2009, SINGAPORE MEDICAL JOURNAL, V50, P749 Hassan Mohamed H. A., 2007, CELL, V131, P433 Khajuria Ankur, 2013, LANCET, V382, P1876 Ministry of Health of the People's Republic of China, China Health Statistics 2012 Yearbook, Baade Peter D, 2013, Prostate international, V1, P47 The Thomson Corporation, Journal Search: Science Citation Index Expanded Subject Categories, Cooper Trevor G., 2014, ASIAN JOURNAL OF ANDROLOGY, V16, P565 Hong Kai, 2011, ASIAN JOURNAL OF ANDROLOGY, V13, P512 Al Aboud Ahmad, 2014, ASIAN JOURNAL OF ANDROLOGY, V16, P654 Institute for Scientific Information, 2004, ISI Journal Citation Reports, Yang H., 2006, ARCHIVES OF ANDROLOGY, V52, P433 * Title: The intricacies of characterizing a scientific journal's performance Authors: Hoppeler, HH Author Full Names: Hoppeler, Hans H. Source: JOURNAL OF EXPERIMENTAL BIOLOGY, 217 (21):3773-3774; 10.1242/jeb.115097 NOV 2014 Language: English Document Type: Editorial Material E-mail Addresses: hoppeler at ana.unibe.ch Cited Reference Count: 4 Times Cited: 0 Publisher: COMPANY OF BIOLOGISTS LTD, BIDDER BUILDING CAMBRIDGE COMMERCIAL PARK COWLEY RD, CAMBRIDGE CB4 4DL, CAMBS, ENGLAND ISSN: 0022-0949 eISSN: 1477-9145 Web of Science Categories: Biology Research Areas: Life Sciences & Biomedicine - Other Topics IDS Number: AT3XA Unique ID: WOS:000344866300009 PubMed ID: 25355847 Cited References: Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Gonzalez-Pereira Borja, 2010, JOURNAL OF INFORMETRICS, V4, P379 McVeigh Marie E., 2009, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V302, P1107 Hoppeler Hans, 2013, JOURNAL OF EXPERIMENTAL BIOLOGY, V216, P2163 Title: Citationrates and Impact Factors of German Journals in the Psychosocial Field Authors: Brahler, E; Strauss, B Author Full Names: Braehler, Elmar; Strauss, Bernhard Source: PSYCHOTHERAPIE PSYCHOSOMATIK MEDIZINISCHE PSYCHOLOGIE, 64 (11):409-410; 10.1055/s-0034-1387434 NOV 2014 Language: German Document Type: Editorial Material KeyWords Plus: SHORT VERSION; QUESTIONNAIRE; VALIDATION; POPULATION; DISORDERS; SCALE; STANDARDIZATION; PREVALENCE; SCL-90-R; SAMPLE Addresses: [Braehler, Elmar] Univ Leipzig, Abt Med Psychol & Med Soziol, Leipzig, Germany. [Braehler, Elmar] Univ Med Mainz, Klin & Poliklin Psychosomat Med & Psychotherapie, Mainz, Germany. [Strauss, Bernhard] Klinikum Friedrich Schiller Univ, Inst Psychosoziale Med & Psychotherapie, D-07740 Jena, Germany. E-mail Addresses: Bernhard.Strauss at med.uni-jena.de Cited Reference Count: 15 Times Cited: 0 Publisher: GEORG THIEME VERLAG KG, RUDIGERSTR 14, D-70469 STUTTGART, GERMANY ISSN: 0937-2032 eISSN: 1439-1058 Web of Science Categories: Psychology, Clinical Research Areas: Psychology IDS Number: AT4OT Unique ID: WOS:000344920300001 PubMed ID: 25372060 Cited References: Schienle A, 2002, ZEITSCHRIFT FUR KLINISCHE PSYCHOLOGIE UND PSYCHOTHERAPIE, V31, P110 Brahler E, 2000, PSYCHOTHERAPIE PSYCHOSOMATIK MEDIZINISCHE PSYCHOLOGIE, V50, P14 Klasen H, 2003, PRAXIS DER KINDERPSYCHOLOGIE UND KINDERPSYCHIATRIE, V52, P491 Schumacher J, 2000, PSYCHOTHERAPIE PSYCHOSOMATIK MEDIZINISCHE PSYCHOLOGIE, V50, P472 Hilbert Anja, 2007, DIAGNOSTICA, V53, P144 Hessel A, 2001, DIAGNOSTICA, V47, P27 Schulz T, 2003, Diagnostica, V49, P73 Grafe K, 2004, DIAGNOSTICA, V50, P171 Klaghofer R, 2001, ZEITSCHRIFT FUR KLINISCHE PSYCHOLOGIE PSYCHIATRIE UND PSYCHOTHERAPIE, V49, P115 Hilbert A, 2004, DIAGNOSTICA, V50, P98 Woerner A, 2002, Zeitschrift fur Kinder- und Jugendpsychiatrie und Psychotherapie, V30, P105 Herschbach P, 2002, PSYCHOTHERAPIE PSYCHOSOMATIK MEDIZINISCHE PSYCHOLOGIE, V52, P141 Grande G, 2004, PSYCHOTHERAPIE PSYCHOSOMATIK MEDIZINISCHE PSYCHOLOGIE, V54, P413 Hinz A, 2001, PSYCHOTHERAPIE PSYCHOSOMATIK MEDIZINISCHE PSYCHOLOGIE, V51, P193 Ihle W, 2002, PSYCHOLOGISCHE RUNDSCHAU, V53, P159 Title: Evaluating the Quality of Taxonomic Publications: A Simple Alternative to Citations and Effort Authors: Pyke, GH Author Full Names: Pyke, Graham H. Source: BIOSCIENCE, 64 (11):961-962; 10.1093/biosci/biu154 NOV 2014 Language: English Document Type: Editorial Material KeyWords Plus: VALDECASAS 2011; SUGGESTIONS; IMPROVE Addresses: [Pyke, Graham H.] Univ Technol Sydney, Sch Environm, Sydney, NSW 2007, Australia. [Pyke, Graham H.] Macquarie Univ, Dept Biol Sci, Sydney, NSW 2109, Australia. [Pyke, Graham H.] Australian Museum, Sydney, NSW 2000, Australia. E-mail Addresses: graham.pyke at uts.edu.au Cited Reference Count: 10 Times Cited: 0 Publisher: OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND ISSN: 0006-3568 eISSN: 1525-3244 Web of Science Categories: Biology Research Areas: Life Sciences & Biomedicine - Other Topics IDS Number: AT1XU Unique ID: WOS:000344725100002 Cited References: Valdecasas Antonio G., 2011, ZOOTAXA, P57 Pall-Gergely Barna, 2014, ZOOTAXA, V3780, P399 Pyke Graham H., 2014, BIOSCIENCE, V64, P90 Valdecasas Antonio G., 2014, ZOOTAXA, V3784, P99 Waegele Heike, 2011, FRONTIERS IN ZOOLOGY, V8, Krell FT, 2002, NATURE, V415, P957 Venu P., 2011, CURRENT SCIENCE, V101, P1397 Valdecasas AG, 2000, NATURE, V403, P698 Pyke Graham H., 2013, CURRENT SCIENCE, V105, P1061 Krell FT, 2000, NATURE, V405, P507 * Title: THE IBEROAMERICAN SCIENTIFIC PRODUCTION IN NUTRITIONAL SCIENCES: THE INDEXATION IN PUBMED AND GOOGLE SCHOLAR Authors: Franco-Perez, AM; Sanz-Valero, J; Wanden-Berghe, C; Melian-Fleitas, L Author Full Names: Moises Franco-Perez, Alvaro; Sanz-Valero, Javier; Wanden-Berghe, Carmina; Melian-Fleitas, Liliana Group Author(s): Grp CDC-Nut SENPE Source: NUTRICION HOSPITALARIA, 30 (5):1165-1172; 10.3305/nh.2014.30.5.7723 NOV 2014 Language: Spanish Document Type: Article Author Keywords: Search engine, Database, Information storage and retrieval, Bibliometric indicators, Bibliometrics KeyWords Plus: DATABASES Abstract: Objective: Analyze by bibliometric technique, the Iberoamerican scientific literature related to the nutritional sciences and retrieved on main search engines with free access through Internet (PubMed and Google Scholar). Method: Bibliometric analysis of scientific production recovered in the different selected search tools. The data were obtained by applying to each of them, a composed search equation according to the scheme: Population (neoplasms), Intervention (nutritional status), Outcome (quality of life). Results: 789 references were reviewed, 604 of those were papers published in 277 journals, presenting 20 or more references: Supportive Care in Cancer 27 (4,47%; CI95% 2,82-6,12) and Clinical Nutrition 20 (3,31%; CI95% 1,88-4,74). Mean age of documents: 8,08 +/- 6,40 (CI95% 7,63-8,53), median 6 years (Burton Kleber Index), maximum 34 years and Price Index of 43.90%. The predominant geographical distribution among the authors was American, while the articles were written primarily in English. Dispersion of literature (Bradford Law): core (1st tertile), 22 journals (7,94%; CI95% 4,76-11,13) with 202 articles published (33,44%; CI95% 29,68-37,21). Statistics related to the impact factor of the core: mean 4,033 +/- 4,022 and maximum 18,038 (Journal of Clinical Oncology). Conclusions: The studied thematic continues in force according to the current indicators, with a dominance of English as language of publication and United States filiation. The most referenced journals matching with high Impact publications on nutritional sciences and oncology. Highlighting the presence of an Iberoamerican journal (Nutricion Hospitalaria) with a clear international vocation. Addresses: [Moises Franco-Perez, Alvaro] Serv Canario Salud, Lanzarote, Spain. [Sanz-Valero, Javier] Univ Alicante, E-03080 Alicante, Spain. [Sanz-Valero, Javier] Univ Miguel Hernandez, Elche, Spain. [Wanden-Berghe, Carmina] Univ CEU Cardenal Herrera, Elche, Spain. [Wanden-Berghe, Carmina] Hosp Gen Univ Alicante, Alicante, Spain. [Melian-Fleitas, Liliana] Hosp Insular Lanzarote, Lanzarote, Spain. E-mail Addresses: jsanz at umh.es Cited Reference Count: 25 Times Cited: 0 Publisher: AULA MEDICA EDICIONES, C/ISABEL COLBRAND, 10-12 NAVE 78 S PLANTA CIUDAD INDUSTRIAL VENECIA-EDIFICIO ALFA, MADRID, 28050, SPAIN ISSN: 0212-1611 Web of Science Categories: Nutrition & Dietetics Research Areas: Nutrition & Dietetics IDS Number: AT6OO Unique ID: WOS:000345058900024 PubMed ID: 25365023 Cited References: Kelly Len, 2008, CANADIAN FAMILY PHYSICIAN, V54, P1572 Tomas-Castera Vicente, 2010, REVISTA DE NUTRICAO-BRAZILIAN JOURNAL OF NUTRITION, V23, P791 National Network of Libraries of Medicine, Research and Discovery: Online Databases at Your Fingertips, NATH R, 1991, INFORMATION PROCESSING & MANAGEMENT, V27, P203 Chang AA, 2006, LARYNGOSCOPE, V116, P336 Meneghini Rogerio, 2007, EMBO REPORTS, V8, P112 Gonzalez-Alcaide Gregorio, 2010, ARCHIVOS DE BRONCONEUMOLOGIA, V46, P78 Tomas-Castera V, 2008, Nutr Hosp, V23, P541 Barrios Maite, 2008, SCIENTOMETRICS, V77, P453 Chakravarty R, 2006, Libro de ponencias: 4th Convention Planner 2006: Digital Preservation, Management and Access to Information in the Twenty First Century [monografia en Internet], P496 Sanz-Valero Javier, 2010, Revista de sa?de p?blica, V44, P877 Bornmann L, 2013, PLoS ONE, V8, Gehanno Jean-Fran?ois, 2013, BMC medical informatics and decision making, V13, P7 Huamani Charles, 2012, REVISTA MEDICA DE CHILE, V140, P466 Sanz-Valero J, 2008, Med Segur Trab, V54, P636 Callaham M, 2002, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION4th International Congress on Peer Review in Biomedical Publication, SEP 14-16, 2001, BARCELONA, SPAIN, V287, P2847 Glynn Ronan W., 2010, BREAST CANCER RESEARCH, V12, Tom?s-Caster? Vicente, 2010, Revista chilena de nutrici?n, V37, P330 Sanz-Valero J., 2012, NUTRICION HOSPITALARIA, V27, P41 Guardiola-Wanden-Berghe R, 2010, Trastor Conducta Aliment, P1296 Schloegl Christian, 2010, SCIENTOMETRICS10th International Conference on Science and Technology Indicators, SEP 17-20, 2008, Vienna, AUSTRIA, V82, P567 Wanden-Berghe C., 2012, NUTRICION HOSPITALARIA, V27, P26 Corera-Alvarez E, 2013, Indicadores bibliometricos de la actividad cientifica espatiola 2010, Canese K, 2006, PubMed Celebrates its 10th Anniversary! NLM Tech Bull, Villafuerte-G?lvez Javier, 2009, Revista de gastroenterolog?a del Per? : ?rgano oficial de la Sociedad de Gastroenterolog?a del Per?, V29, P75 * Title: Editorial Board Position Statement Regarding the Declaration on Research Assessment (DORA) Recommendations With Respect to Journal Impact Factors Authors: Welk, G; Fischman, MG; Greenleaf, C; Harrison, L; Ransdell, L; van der Mars, H; Zhu, WM Author Full Names: Welk, Gregory; Fischman, Mark G.; Greenleaf, Christy; Harrison, Louis; Ransdell, Lynda; van der Mars, Hans; Zhu, Weimo Source: RESEARCH QUARTERLY FOR EXERCISE AND SPORT, 85 (4):429-430; 10.1080/02701367.2014.964104 OCT 2 2014 Language: English Document Type: Editorial Material Addresses: [Welk, Gregory] Iowa State Univ, Ames, IA 50011 USA. [Fischman, Mark G.] Auburn Univ, Auburn, AL 36849 USA. [Greenleaf, Christy] Univ Wisconsin, Milwaukee, WI 53201 USA. [Harrison, Louis] Univ Texas Austin, Austin, TX 78712 USA. [Ransdell, Lynda] Montana State Univ, Bozeman, MT USA. [van der Mars, Hans] Arizona State Univ, Tempe, AZ 85287 USA. [Zhu, Weimo] Univ Illinois, Champaign, IL USA. Cited Reference Count: 1 Times Cited: 0 Publisher: ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND ISSN: 0270-1367 eISSN: 2168-3824 Web of Science Categories: Hospitality, Leisure, Sport & Tourism; Psychology, Applied; Psychology; Sport Sciences Research Areas: Social Sciences - Other Topics; Psychology; Sport Sciences IDS Number: AT6TF Unique ID: WOS:000345071300002 PubMed ID: 25412123 Cited References: *THOMS REUT, J CITATION REPOR JUN, Title: Prestige versus citation volume as journal indices in cognitive neuroscience Authors: Ward, J Author Full Names: Ward, Jamie Source: COGNITIVE NEUROSCIENCE, 5 (3-4):135-137; 10.1080/17588928.2014.976381 OCT 2 2014 Language: English Document Type: Editorial Material KeyWords Plus: CORTEX Abstract: In recent years, alternative measures of a journal's influence have been developed to those based on citation metrics (such as Impact Factor). This includes the Scimago Journal Rank (SJR) which is adapted from algorithms used to prioritize webpages in search engines. It is considered a measure of "prestige" insofar as it takes into account the importance of links/citations and not just their total number. Taking a sample of 38 journals from within the field of cognitive neuroscience, it is shown that SJR and Impact Factor correlate highly (r=.83) but with a few large discrepancies in rankings. This journal, Cognitive Neuroscience, fares better on the prestige-based measure than might otherwise be expected from its citation-based rank. Addresses: Univ Sussex, Sch Psychol, Brighton BN1 5PP, E Sussex, England. E-mail Addresses: jamiew at sussex.ac.uk Cited Reference Count: 8 Times Cited: 0 Publisher: ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND ISSN: 1758-8928 eISSN: 1758-8936 Web of Science Categories: Neurosciences Research Areas: Neurosciences & Neurology IDS Number: AT6TM Unique ID: WOS:000345072100001 PubMed ID: 25337920 Cited References: Rivolta Davide, 2012, COGNITIVE NEUROSCIENCE, V3, P45 Chrysikou Evangelia G., 2013, COGNITIVE NEUROSCIENCE, V4, P81 Herzmann Grit, 2012, COGNITIVE NEUROSCIENCE, V3, P174 Maratos Frances A., 2012, COGNITIVE NEUROSCIENCE, V3, P62 Qian Cheng, 2012, COGNITIVE NEUROSCIENCE, V3, P98 Guerrero-Bote Vicente P., 2012, JOURNAL OF INFORMETRICS, V6, P674 Gotts Stephen J., 2012, COGNITIVE NEUROSCIENCE, V3, P227 Voss Joel L., 2012, COGNITIVE NEUROSCIENCE, V3, P193 * Title: Analyzing future communities in growing citation networks Authors: Jung, S; Segev, A Author Full Names: Jung, Sukhwan; Segev, Aviv Source: KNOWLEDGE-BASED SYSTEMS, 69 34-44; SI 10.1016/j.knosys.2014.04.036 OCT 2014 Language: English Document Type: Article Author Keywords: Community, Topic detection, Link prediction, Citation network, Community detection KeyWords Plus: LINK-PREDICTION; TOPICS; MODEL Abstract: Citation networks contain temporal information about what researchers are interested in at a certain time. A community in such a network is built around either a renowned researcher or a common research field; either way, analyzing how the community will change in the future will give insight into the research trend in the future. The paper views the research community as a Social Web where the communication is through academic papers. The paper proposes methods to analyze how communities change over time in the citation network graph without additional external information and based on node and link prediction and community detection. Different combinations of the proposed methods are also analyzed. The identified communities are classified using key term labeling. Experiments show that the proposed methods can identify the changes in citation communities multiple years in the future with performance differing according to the analyzed time span. Furthermore, the method is shown to produce higher performance when analyzing communities to be disbanded and to be formed in the future. (C) 2014 Elsevier B.V. All rights reserved. Addresses: [Jung, Sukhwan; Segev, Aviv] Korea Adv Inst Sci & Technol, Dept Knowledge Serv Engn, Taejon 305701, South Korea. E-mail Addresses: raphael at kaist.ac.kr; aviv at kaist.edu Funding Acknowledgement: IT R&D program of MSIP/KEIT [10044494] Funding Text: This work was supported by the IT R&D program of MSIP/KEIT [10044494, WiseKB: Big data based self-evolving knowledge base and reasoning platform]. Cited Reference Count: 47 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 0950-7051 eISSN: 1872-7409 Web of Science Categories: Computer Science, Artificial Intelligence Research Areas: Computer Science IDS Number: AS2TA Unique ID: WOS:000344131100005 Cited References: Chi Yun, 2007, KDD-2007 PROCEEDINGS OF THE THIRTEENTH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING13th International Conference on Knowledge Discovery and Data Mining, AUG 12-15, 2007, San Jose, CA, P153 KATZ L, 1953, PSYCHOMETRIKA, V18, P39 Adams J, 2005, SCIENTOMETRICS, V63, P567 Newman MEJ, 2006, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V103, P8577 Allan J., 1998, Evaluation, P194 Wang X., 2007, Spatial Latent Dirichlet Allocation, Fiscus JG, 2002, TOPIC DETECTION AND TRACKING, V12, P17 Gibson D., 1998, Proceedings of the 9th ACM Conference on Hypertext and Hypermedia, P225 Tong Hengqing, 2008, PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGYInternational Conference on Computer Science and Information Technology, AUG 29-SEP 02, 2008, Singapore, SINGAPORE, P458 Sun Jimeng, 2010, LINK MINING: MODELS, ALGORITHMS, AND APPLICATIONS, P73 Liben-Nowell David, 2007, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V58, P1019 Zheleva Elena, 2010, ADVANCES IN SOCIAL NETWORK MINING AND ANALYSIS2nd International Workshop on Social Network Analysis (SNAKDD 2008), AUG 24-27, 2008, Las Vegas, NV, V5498, P97 Leskovec J., 2008, Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, P462 Lichtenwalter Ryan N., 2011, JOURNAL OF MACHINE LEARNING RESEARCH, V12, P2489 Chakrabarti D., 2006, Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, P554 Blei D.M., 2003, Adv. Neural Inform. Process. Syst, Blei DM, 2003, JOURNAL OF MACHINE LEARNING RESEARCH18th International Conference on Machine Learning, JUN 28-JUL 01, 2001, WILLIAMSTOWN, MASSACHUSETTS, V3, P993 Boyd-Graber J.L., 2007, EMNLP-CoNLL, V17, Garfield E., 1964, The Use of Citation Data in Writing the History of Science, Leskovec J., 2007, Proceedings of the 24th International Conference on Machine Learning, P497 Lewis-Beck MS, 1999, INTERNATIONAL JOURNAL OF FORECASTING, V15, P175 Ma Y., 2011, Act. Media Technol., V6890, P195 Gangemi Aldo, 2014, IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, V9, P20 Lancichinetti Andrea, 2008, PHYSICAL REVIEW E, V78, Adamic LA, 2003, SOCIAL NETWORKS, V25, P211 Jeh G., 2002, Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '02), July, 2002, P538 Otte E, 2002, JOURNAL OF INFORMATION SCIENCE, V28, P441 Newman MEJ, 2001, PHYSICAL REVIEW E, V64, Cambria Erik, 2014, IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, V9, P48 Xia Rui, 2013, IEEE INTELLIGENT SYSTEMS, V28, P10 de Moura APS, 2004, PHYSICAL REVIEW E, V69, Berger-Wolf Tanya, 2010, LINK MINING: MODELS, ALGORITHMS, AND APPLICATIONS, P307 Rajagopal D., 2013, Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining, New York, NY, USA, Yang Y., 2002, Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, P688 Tantipathananandh C., Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '07 2007, New York, New York, USA, P717 Salton G, 1986, Introduction to modern information retrieval, Cambria E., 2014, SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis, Cambria Erik, 2013, IEEE INTELLIGENT SYSTEMS, V28, P15 Kwak Haewoon, 2009, IMC'09: PROCEEDINGS OF THE 2009 ACM SIGCOMM INTERNET MEASUREMENT CONFERENCE9th ACM SIGCOMM Internet Measurement Conference, NOV 04-06, 2009, Chicago, IL, P301 Zhang J., 2005, Proceedings of the 18th Annual Conference on Neural Information Processing Systems, P1617 Rosvall Martin, 2008, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V105, P1118 Shu Liangcai, 2009, ICDE: 2009 IEEE 25TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, VOLS 1-3IEEE 25th International Conference on Data Engineering, MAR 29-APR 02, 2009, Shanghai, PEOPLES R CHINA, P880 Seshadhri C., 2011, 2011 IEEE 11th International Conference on Data Mining, December, 2011, P587 Griffiths TL, 2004, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICAColloquium on Mapping Knowledge Domains, MAY 09-11, 2003, Irvine, CA, V101, P5228 Blondel V.D., 2008, J. Stat. Mech.: Theory Exp., V2008, Ramage D., 2009, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, Stroudsburg, PA, USA, V1, P248 Stohlgren TJ, 2003, FRONTIERS IN ECOLOGY AND THE ENVIRONMENT, V1, P11 *=================================================== Title: A bibliometric investigation of research trends on sulfate removal Authors: Ye, ZF; Zhang, BG; Liu, Y; Zhang, J; Wang, ZY; Bi, HT Author Full Names: Ye, Zhengfang; Zhang, Baogang; Liu, Ye; Zhang, Jing; Wang, Zhongyou; Bi, Haitao Source: DESALINATION AND WATER TREATMENT, 52 (31-33):6040-6049; 10.1080/19443994.2013.812991 SEP 19 2014 Language: English Document Type: Article Author Keywords: Sulfate removal, Bibliometric, Research trend, Sulfide KeyWords Plus: INDUSTRIAL WASTE-WATER; REDUCING BACTERIA; REDUCTION; WETLAND; REACTOR; SYSTEM Abstract: Sulfate contamination has become a global problem, which attracts wide concern of researchers in this field. In this study, a bibliometric analysis was employed to analyze the scientific outputs on sulfate removal, in terms of source countries, institutes, distribution of words in titles, author keywords, KeyWords Plus. Three categories including removal field, removal methods, and products have further contributed to revealing the research trends in the past 20 years, based on the online version of Science Citation Index Expanded, Web of Science from 1991 to 2010. It is concluded that researchers have paid most attention to desulfuration in water. This would probably continue as the main developing research trend, thus helping researchers establish future research directions in this area. Addresses: [Ye, Zhengfang; Wang, Zhongyou; Bi, Haitao] Peking Univ, Dept Environm Engn, Key Lab Water & Sediment Sci, Minist Educ, Beijing 100871, Peoples R China. [Zhang, Baogang; Liu, Ye; Zhang, Jing] China Univ Geosci, Sch Water Resources & Environm, Key Lab Groundwater Circulat & Evolut, Minist Educ, Beijing 100083, Peoples R China. E-mail Addresses: yezhengfang at iee.pku.edu.cn; zbgcugb at gmail.com Funding Acknowledgement: Fundamental Research Funds for the Central Universities [2011YYL109]; Research Fund for the Doctoral Program of Higher Education of China [20120022120005] Funding Text: Financial support is gratefully acknowledged from the Fundamental Research Funds for the Central Universities (2011YYL109) and the Research Fund for the Doctoral Program of Higher Education of China (20120022120005). Cited Reference Count: 32 Times Cited: 0 Publisher: TAYLOR & FRANCIS INC, 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA ISSN: 1944-3994 eISSN: 1944-3986 Web of Science Categories: Engineering, Chemical; Water Resources Research Areas: Engineering; Water Resources IDS Number: AS6PW Unique ID: WOS:000344386000037 Cited References: Haghsheno Reza, 2009, JOURNAL OF HAZARDOUS MATERIALS, V166, P961 Zhou Xu, 2011, APPLIED MICROBIOLOGY AND BIOTECHNOLOGY, V90, P1129 Boukhalfa Chahrazed, 2007, DESALINATION, V214, P38 Coma M., 2013, BIORESOURCE TECHNOLOGY, V130, P218 Li Jinfeng, 2009, CROATICA CHEMICA ACTA, V82, P695 Qin J, 2000, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V51, P166 Fu Hui-zhen, 2010, WASTE MANAGEMENT, V30, P2410 Wang Ming-Huang, 2011, DESALINATION AND WATER TREATMENT, V28, P353 Jong T, 2003, WATER RESEARCH, V37, P3379 Korenman Ya. I., 2012, RUSSIAN JOURNAL OF PHYSICAL CHEMISTRY A, V86, P1676 Silva AJ, 2002, PROCESS BIOCHEMISTRY, V37, P927 Wiessner A, 2005, WATER RESEARCH, V39, P4643 Starostin V. I., 2011, Geosci. Front, V4, P583 Huang Wenli, 2012, DESALINATION AND WATER TREATMENT, V50, P67 OREMLAND RS, 1982, NATURE, V296, P143 Li Ling-li, 2009, SCIENTOMETRICS, V80, P39 Mizuno O, 1998, WATER RESEARCH, V32, P1626 Zhang Weiwei, 2009, SCIENTOMETRICS, V80, P305 Li Jinfeng, 2011, GLOBAL AND PLANETARY CHANGE, V77, P13 Zhang Liang, 2010, ECOLOGICAL ENGINEERING, V36, P973 Zhang Baogang, 2012, BIORESOURCE TECHNOLOGY, V124, P1 Ingvorsen K, 2003, FEMS MICROBIOLOGY ECOLOGY, V46, P129 Boukhalfa Chahrazed, 2010, DESALINATION1st International Conference on Environmental Management, Engineering, Planning and Economics (CEMEPE), JUN 24-28, 2007, Skiathos Isl, GREECE, V250, P428 Tanaka Hiroshi, 2011, DESALINATION AND WATER TREATMENT, V25, P1 Chiu Wen-Ta, 2007, SCIENTOMETRICS, V73, P3 Malarvizhi R., 2010, World Applied Sciences Journal, V8, P930 Baskaran V., 2006, BIOCHEMICAL ENGINEERING JOURNAL, V31, P148 Higo Masao, 2011, ANNALS OF MICROBIOLOGY, V61, P383 Silva Renato, 2010, MINERALS ENGINEERING, V23, P1220 Liang Fangyuan, 2013, CHEMICAL ENGINEERING JOURNAL, V218, P147 Xie Shaodong, 2008, SCIENTOMETRICS, V77, P113 Liu Xingjian, 2011, BIODIVERSITY AND CONSERVATION, V20, P807 Title: Who Publishes in Top-Tier Library Science Journals? An Analysis by Faculty Status and Tenure Authors: Galbraith, Q; Smart, E; Smith, SD; Reed, M Author Full Names: Galbraith, Quinn; Smart, Elizabeth; Smith, Sara D.; Reed, Megan Source: COLLEGE & RESEARCH LIBRARIES, 75 (5):724-735; 10.5860/crl.75.5.724 SEP 2014 Language: English Document Type: Article KeyWords Plus: ACADEMIC LIBRARIANS; RESEARCH PRODUCTIVITY; LIS FACULTY; PENN-STATE; PUBLICATION; AUTHORSHIP; PATTERNS Abstract: This study analyzes the status and background of authors publishing in high-impact library science journals. Twenty-three high-impact journals were selected in this study by both quantitative and qualitative measures, while the analysis of author background focuses on whether the author holds a faculty status position with a tenure track. This study finds that 76% of academic librarians publishing in top-tier library science journals have faculty status. Addresses: [Galbraith, Quinn; Smart, Elizabeth; Smith, Sara D.; Reed, Megan] Brigham Young Univ, Lee Lib, Provo, UT 84602 USA. E-mail Addresses: quinn_galbraith at byu.edu; elizabeth_smart at byu.edu; sara.d.smith at byu.edu; meganlyr at gmail.com Cited Reference Count: 26 Times Cited: 0 Publisher: ASSOC COLL RESEARCH LIBRARIES, 50 E HURON ST, CHICAGO, IL 60611 USA ISSN: 0010-0870 eISSN: 2150-6701 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AS9US Unique ID: WOS:000344587400007 Cited References: Nisonger TE, 2004, COLLEGE & RESEARCH LIBRARIES, V65, P152 Hart RL, 1999, COLLEGE & RESEARCH LIBRARIES, V60, P454 Seaman Scott, 2008, LIBRES Library and Information Science Research Electronic Journal, V18, P1 Leydesdorff Loet, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P1327 Budd JM, 1996, LIBRARY QUARTERLY, V66, P1 Galbraith Quinn, 2012, internal report, BUDD JM, 1990, COLLEGE & RESEARCH LIBRARIES, V51, P463 ENGLISH TG, 1983, COLLEGE & RESEARCH LIBRARIES, V44, P199 Adkins Denice, 2006, LIBRARY & INFORMATION SCIENCE RESEARCH, V28, P374 Watson Paula D., 1985, College & Research Libraries, V46, P341 BUTTLAR L, 1991, COLLEGE & RESEARCH LIBRARIES, V52, P38 HAYES RM, 1983, JOURNAL OF EDUCATION FOR LIBRARIANSHIP, V23, P151 Herring Mark Y., 2003, American Libraries, P70 REED KL, 1995, BULLETIN OF THE MEDICAL LIBRARY ASSOCIATION, V83, P503 Bernstein Alan, 2009, Georgia Library Quarterly, V46, P12 Fennewald Joseph, 2008, COLLEGE & RESEARCH LIBRARIES, V69, P104 Henry DB, 2004, JOURNAL OF ACADEMIC LIBRARIANSHIP, V30, P435 Budd JM, 2006, COLLEGE & RESEARCH LIBRARIES, V67, P230 Hook Sara Anne, 2000, SPEC Kit 261: Post Tenure Review, Zemon M., 1998, College and Research Libraries, V59, P421 Lewis Rodger C., 2000, College and Research Libraries News, V61, P606 Nisonger TE, 2005, COLLEGE & RESEARCH LIBRARIES, V66, P341 Meho Lokman I., 2007, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V58, P2105 WATSON PD, 1985, COLLEGE & RESEARCH LIBRARIES, V46, P334 Penta Michelle, 2005, Public Library Quarterly, V24, P33 Wiberley SE, 2006, COLLEGE & RESEARCH LIBRARIES, V67, P205 Title: Citation classics: Top 50 cited articles in bariatric and metabolic surgery Authors: Aminian, A; Daigle, CR; Brethauer, SA; Schauer, PR Author Full Names: Aminian, Ali; Daigle, Christopher R.; Brethauer, Stacy A.; Schauer, Philip R. Source: SURGERY FOR OBESITY AND RELATED DISEASES, 10 (5):898-905; 10.1016/j.soard.2013.12.021 SEP-OCT 2014 Language: English Document Type: Article Author Keywords: Bariatric surgery, Metabolic surgery, Morbid obesity, Weight loss, Citation, Citation classics, Reference, Gastric bypass, Sleeve, Gastric band, Gastroplasty KeyWords Plus: ROUX-EN-Y; GASTRIC-BYPASS-SURGERY; SWEDISH OBESE SUBJECTS; VERTICAL BANDED GASTROPLASTY; LONG-TERM MORTALITY; INDUCED WEIGHT-LOSS; QUALITY-OF-LIFE; MORBID-OBESITY; BILIOPANCREATIC DIVERSION; SURGICAL-TREATMENT Abstract: Background: The number of times an article has been cited reflects its influence in a specific field. The aim of this study was to identify and characterize the most highly cited articles published on bariatric and metabolic surgery. Methods: The 50 most frequently cited articles in bariatric and metabolic surgery were identified from the Scopus database in December 2013. Results: The median number of citations was 383.5 (range 275-2482). Most of the articles were published from 2000-2012 (n = 35), followed by 1990-1999 (n = 12), then before 1990 (n = 3). These citation classics came from 8 countries, with the majority originating from the United States (n = 34), followed by Sweden (n = 4) and Australia (n = 4). The 50 articles were published in 20 journals, led by New England Journal of Medicine (n = 9) and Annals of Surgery (n = 9). Only 10 of the articles were published in obesity-specific journals. The level of evidence of the 49 clinical publications and 1 animal study consisted of level I (n = 5), II (n = 11), III (n = 9), IV (n = 19), and V (n = 6). Meta-analyses were 16% of the total citations. Metabolic (n = 12) and survival (n = 6) effects of surgery were among the most common fields of study. Conclusion: Extending from the early 1950s through the voluminous growth period of the early 2000s, the field of bariatric and metabolic surgery led to the emergence of many top-cited scientific articles. These articles have provided the scientific basis for the only currently effective treatment for severe obesity. Articles published in high-impact journals, innovative observational studies, meta-analyses, survival analyses, and research on postoperative metabolic changes are most likely to be cited in the field of bariatric surgery. (C) 2014 American Society for Metabolic and Bariatric Surgery. All rights reserved. Addresses: [Aminian, Ali; Daigle, Christopher R.; Brethauer, Stacy A.; Schauer, Philip R.] Cleveland Clin, Bariatr & Metab Inst, Cleveland, OH 44195 USA. E-mail Addresses: schauep at ccf.org Cited Reference Count: 63 Times Cited: 1 Publisher: ELSEVIER SCIENCE INC, 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA ISSN: 1550-7289 eISSN: 1878-7533 Web of Science Categories: Surgery Research Areas: Surgery IDS Number: AT1UL Unique ID: WOS:000344719200030 Cited References: Steinbrook R, 2004, NEW ENGLAND JOURNAL OF MEDICINE, V350, P1075 Hum DR, 2005, JAMA, V249, P1903 Schirmer B, 2006, SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES, V20, P450 Brandt JS, 2010, Am J Obstet Gynecol, V203, Shukla Alpana P., 2012, SURGERY FOR OBESITY AND RELATED DISEASES, V8, P476 Podnos YD, 2003, ARCHIVES OF SURGERY74th Annual Meeting of the Pacific-Coast-Surgical-Association, FEB 16-18, 2003, MONTEREY, CALIFORNIA, V138, P957 Chapman AE, 2004, SURGERY, V135, P326 Buchwald Henry, 2009, OBESITY SURGERY14th World Congress of the International-Federation-for-the-Surgery-of-Obesity-and-Metabolic-Disorders, AUG 26-29, 2009, Paris, FRANCE, V19, P1605 Cancello R, 2005, DIABETES, V54, P2277 Scopinaro N, 1998, WORLD JOURNAL OF SURGERY, V22, P936 Tao Tianzhu, 2012, CRITICAL CARE, V16, Faraj M, 2003, JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, V88, P1594 Rubino Francesco, 2006, ANNALS OF SURGERY, V244, P741 Yoon Dae Young, 2013, AMERICAN JOURNAL OF ROENTGENOLOGY, V201, P471 Santry HP, 2005, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATIONMeeting of the Chicago-Surgical-Society, MAR 03, 2005, Chicago, IL, V294, P1909 Maggard MA, 2005, ANNALS OF INTERNAL MEDICINE, V142, P547 Sjostrom L., 2013, JOURNAL OF INTERNAL MEDICINE, V273, P219 Buchwald H, 2004, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V292, P1724 Hess DS, 1998, OBESITY SURGERY, V8, P267 Nason Gregory J, 2013, Canadian Urological Association journal = Journal de l'Association des urologues du Canada, V7, PE16 Luyckx FH, 1998, INTERNATIONAL JOURNAL OF OBESITY, V22, P222 Service GJ, 2005, NEW ENGLAND JOURNAL OF MEDICINE, V353, P249 MASON EE, 1982, ARCHIVES OF SURGERY, V117, P701 Regan JP, 2003, OBESITY SURGERY, V13, P861 Karlsson J, 1998, INTERNATIONAL JOURNAL OF OBESITY, V22, P113 Adams Ted D., 2007, NEW ENGLAND JOURNAL OF MEDICINE, V357, P753 KREMEN AJ, 1954, ANNALS OF SURGERY, V140, P439 Buchwald H, 2004, OBESITY SURGERY8th World Congress of the International-Federation-for-the-Surgery-of-Obesity, SEP 03-05, 2003, SALAMANCA, SPAIN, V14, P1157 Dixon JB, 2004, HEPATOLOGY, V39, P1647 Hum DR, 2009, N Engl J Med, V361, P445 Nguyen NT, 2001, ANNALS OF SURGERY121st Annual Meeting of the American-Surgical-Association, APR 26-28, 2001, COLORADO SPRINGS, COLORADO, V234, P279 Higa KD, 2000, OBESITY SURGERY5th Congress of the International-Federation-for-the-Surgery-of-Obesity, SEP 22, 2000, GENOA, ITALY, V10, P509 Christou NV, 2004, ANNALS OF SURGERY124th Annual Meeting of the American-Surgical-Association, APR 15-17, 2004, San Francisco, CA, V240, P416 Schauer PR, 2000, ANNALS OF SURGERY120th Annual Meeting of the American-Surgical-Association, APR 06-08, 2000, PHILADELPHIA, PENNSYLVANIA, V232, P515 Brolin RE, 2002, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V288, P2793 GRUNDY SM, 1991, ANNALS OF INTERNAL MEDICINE, V115, P956 MASON EE, 1967, SURGICAL CLINICS OF NORTH AMERICA, V47, P1345 Zhang Husen, 2009, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V106, P2365 Sjostrom Lars, 2007, NEW ENGLAND JOURNAL OF MEDICINE, V357, P741 Mingrone Geltrude, 2012, NEW ENGLAND JOURNAL OF MEDICINE, V366, P1577 BUCHWALD H, 1990, NEW ENGLAND JOURNAL OF MEDICINE, V323, P946 Wittgrove AC, 2000, OBESITY SURGERY, V10, P233 le Roux CW, 2006, ANNALS OF SURGERY, V243, P108 PAYNE JH, 1969, AMERICAN JOURNAL OF SURGERY, V118, P141 Cummings DE, 2002, NEW ENGLAND JOURNAL OF MEDICINE, V346, P1623 Paladugu R, 2002, WORLD JOURNAL OF SURGERY, V26, P1099 PORIES WJ, 1995, ANNALS OF SURGERY115th Annual Meeting of the American-Surgical-Association, APR 06-08, 1995, CHICAGO, IL, V222, P339 Buchwald Henry, 2009, AMERICAN JOURNAL OF MEDICINE, V122, P248 MacDonald K G Jr, 1997, Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract, V1, P213 Marceau P, 1998, WORLD JOURNAL OF SURGERY, V22, P947 SUGERMAN HJ, 1987, ANNALS OF SURGERY, V205, P613 Dixon John B., 2008, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V299, P316 Inge TH, 2004, PEDIATRICS, V114, P217 O'Brien PE, 1999, BRITISH JOURNAL OF SURGERY, V86, P113 Sjostrom L, 2004, NEW ENGLAND JOURNAL OF MEDICINE, V351, P2683 WITTGROVE AC, 1994, OBESITY SURGERY, V4, P353 Schauer Philip R., 2012, NEW ENGLAND JOURNAL OF MEDICINE, V366, P1567 Nam Jason J., 2014, JOURNAL OF BURN CARE & RESEARCH, V35, P176 Flum DR, 2004, JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS89th Annual Clinical Congress of the American-College-of-Surgeons, OCT 19-23, 2003, CHICAGO, IL, V199, P543 Schauer PR, 2003, ANNALS OF SURGERY123rd Annual Meeting of the American-Surgical-Association, APR 24-26, 2003, WASHINGTON, D.C., V238, P467 DeMaria Eric J, 2002, Annals of surgery, V235, P640 Sjostrom CD, 1999, OBESITY RESEARCH, V7, P477 Zhang Wen-Jun, 2013, ANNALS OF PLASTIC SURGERY, V71, P103 * Title: SOUTH AMERICAN COLLABORATION IN SCIENTIFIC PUBLICATIONS ON LEISHMANIASIS: BIBLIOMETRIC ANALYSIS IN SCOPUS (2000-2011) Authors: Huamani, C; Romani, F; Gonzalez-Alcaide, G; Mejia, MO; Ramos, JM; Espinoza, M; Cabezas, C Author Full Names: Huamani, Charles; Romani, Franco; Gonzalez-Alcaide, Gregorio; Mejia, Miluska O.; Manuel Ramos, Jose; Espinoza, Manuel; Cabezas, Cesar Source: REVISTA DO INSTITUTO DE MEDICINA TROPICAL DE SAO PAULO, 56 (5):381-390; 10.1590/S0036-46652014000500003 SEP-OCT 2014 Language: English Document Type: Article Author Keywords: Leishmania, Neglected diseases, South America, Biomedical research, Community networks, Analysis, Bibliometric KeyWords Plus: INTERNATIONAL COLLABORATION; HEALTH Abstract: Objectives: Evaluate the production and the research collaborative network on Leishmaniasis in South America. Methods: A bibliometric research was carried out using SCOPUS database. The analysis unit was original research articles published from 2000 to 2011, that dealt with leishmaniasis and that included at least one South American author. The following items were obtained for each article: journal name, language, year of publication, number of authors, institutions, countries, and others variables. Results: 3,174 articles were published, 2,272 of them were original articles. 1,160 different institutional signatures, 58 different countries and 398 scientific journals were identified. Brazil was the country with more articles (60.7%) and Oswaldo Cruz Foundation (FIOCRUZ) had 18% of Brazilian production, which is the South American nucleus of the major scientific network in Leishmaniasis. Conclusions: South American scientific production on Leishmaniasis published in journals indexed in SCOPUS is focused on Brazilian research activity. It is necessary to strengthen the collaboration networks. The first step is to identify the institutions with higher production, in order to perform collaborative research according to the priorities of each country. Addresses: [Huamani, Charles; Romani, Franco; Espinoza, Manuel; Cabezas, Cesar] Inst Nacl Salud, Lima, Peru. [Gonzalez-Alcaide, Gregorio] Univ Valencia, Dept Hist Ciencia & Documentac, Valencia, Spain. [Mejia, Miluska O.] Univ Nacl Mayor San Marcos, Fac Med Humana San Fernando, Lima 14, Peru. [Manuel Ramos, Jose] Univ Alicante, Gen Hosp, Dept Internal Med, E-03080 Alicante, Spain. E-mail Addresses: huamani_ca at hotmail.com Cited Reference Count: 19 Times Cited: 0 Publisher: INST MEDICINA TROPICAL SAO PAULO, AV DR ENEAS CARVALHO DE AGUIAR, 470, C CESAR, SAO PAULO, 05403-000, BRAZIL ISSN: 0036-4665 eISSN: 1678-9946 Web of Science Categories: Tropical Medicine Research Areas: Tropical Medicine IDS Number: AS5TL Unique ID: WOS:000344332300003 PubMed ID: 25229217 Cited References: Caballero Patricia, 2010, Revista peruana de medicina experimental y salud p?blica, V27, P398 Huamani Charles, 2012, REVISTA MEDICA DE CHILE, V140, P466 Al-Mutawakel K., 2010, PARASITES & VECTORS, V3, KAMADA T, 1989, INFORMATION PROCESSING LETTERS, V31, P7 Ramos Jose M., 2013, PARASITES & VECTORS, V6, Alvar Jorge, 2012, PLOS ONE, V7, Gonzalez-Alcaide Gregorio, 2012, REVISTA DO INSTITUTO DE MEDICINA TROPICAL DE SAO PAULO, V54, P219 Huaman? Charles, 2010, Revista peruana de medicina experimental y salud p?blica, V27, P315 Goto Hiro, 2010, EXPERT REVIEW OF ANTI-INFECTIVE THERAPY, V8, P419 Reithinger Richard, 2007, LANCET INFECTIOUS DISEASES, V7, P581 WHO, 2013, Neglected tropical diseases, Pacheco Santos Leonor Maria, 2011, Health research policy and systems / BioMed Central, V9, P35 Gotuzzo Eduardo, 2010, Revista peruana de medicina experimental y salud p?blica, V27, P419 Desjeux P, 2004, COMPARATIVE IMMUNOLOGY MICROBIOLOGY AND INFECTIOUS DISEASES, V27, P305 Chinchilla-Rodriguez Zaida, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2223 Holveck John C., 2007, BMC PUBLIC HEALTH, V7, Guerra Humberto, 2010, Revista peruana de medicina experimental y salud p?blica, V27, P428 Bales Michael E., 2011, AMERICAN JOURNAL OF PREVENTIVE MEDICINE, V41, P112 UNESCO, 2010, Science Report, Title: Exploring the Veterinary Literature: A Bibliometric Methodology for Identifying Interdisciplinary and Collaborative Publications Authors: Page, JR; Moberly, HK; Youngen, GK; Hamel, BJ Author Full Names: Page, Jessica R.; Moberly, Heather K.; Youngen, Gregory K.; Hamel, Barbara J. Source: COLLEGE & RESEARCH LIBRARIES, 75 (5):664-683; 10.5860/crl.75.5.664 SEP 2014 Language: English Document Type: Article Abstract: Veterinary medical research traditionally focuses on animal health and wellness; however, research activities at veterinary colleges extend beyond these traditional areas. In this study, we analyzed eleven years of Web of Knowledge-indexed peer-reviewed articles from researchers at the twenty-eight United States American Veterinary Medical Association (AVMA) accredited veterinary colleges. We had three goals in assessing the published literature of veterinary college researchers. First, we identified a list of journals and research areas outside veterinary medicine in which veterinary researchers publish. This list of journals can be customized to identify those most essential at each institution. Second, we identified collaborative work by veterinary researchers across disciplines and institutions. Using textual analysis tools and visualizations helped us illustrate and clarify these data. Last, we developed a methodology for defining an interdisciplinary serials list outside a subject core that can be customized for specific institutions and subject areas. Addresses: [Page, Jessica R.] Ohio State Univ, Vet Med Lib, Columbus, OH 43210 USA. [Moberly, Heather K.] Texas A&M Univ, Med Sci Lib, Vet Serv, College Stn, TX 77843 USA. [Youngen, Gregory K.] Indiana State Univ, Lib Serv, Terre Haute, IN 47809 USA. [Hamel, Barbara J.] Univ Wisconsin Madison, Steenbock Lib, Collect Serv, Madison, WI USA. E-mail Addresses: page.84 at osu.edu; hmoberly at library.tamu.edu; gregory.youngen at indstate.edu; bhamel at library.wisc.edu Cited Reference Count: 47 Times Cited: 0 Publisher: ASSOC COLL RESEARCH LIBRARIES, 50 E HURON ST, CHICAGO, IL 60611 USA ISSN: 0010-0870 eISSN: 2150-6701 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AS9US Unique ID: WOS:000344587400004 Cited References: O'Brien Timothy L., 2012, Science Technology & Human Values, V37, Wisconsin National Primate Research Center Library, Primate Portal, [Anonymous], Network Workbench Tool, Nalimov V.V., 1969, Scientometrics: The Study of Science as an Information Process, Chen Chaomei, 2006, Journal of the American Society for Information Science and Technology, V57, Henley Atha Louise, 1978, Journal of Veterinary Medical Education, V5, [Anonymous], Science of Science (Sci2) Tool, Youngen Gregory K., 2011, Science & Technology Libraries, V30, Shneiderman Ben, Treemaps for Space-Constrained Visualization of Hierarchies, Adams James D., 2005, Research Policy, V34, Glanzel Wolfgang, Bibliometrics as a Research Field: A Course on Theory and Application of Bibliometric Indicators. Course Handouts, Feinberg Jonathan, Wordle, Hicks Christina C., 2010, Environmental Conservation, V37, Boyd C. Trenton, 1986, The Serials Librarian, V11, Pei Ruimin, 2011, R & D Management, V41, Hardin Amy, 2011, Science & Technology Libraries, V30, Foote Carolyn, 2009, School Library Journal, V55, Kirk Andy, 2012, Data Visualization: A Successful Design Process, Nacke O., 1979, Nachrichten fur Dokumentation, V30, [Anonymous], 2011, Dorland's Illustrated Medical Dictionary, Office.com, PivotTable Reports 101, Schulz H., 2011, Computer Graphics and Applications, IEEE, V31, Glanzel W., 1996, Scientometrics, V37, Ugaz Ana G., 2010, Journal of the Medical Library Association, V98, 1989, The Oxford English dictionary, Youngen Gregory K., 2010, Agriculture without Borders: US Agriculture Information Network Annual Conference, West Lafayette, Ind., Grindlay Douglas J.C., 2012, Journal of Veterinary Medical Education, V39, IBM Research, Many Eyes, Reuters Thomson, 2012, Web of Science, Newman M.E.J., 2004, Proceedings of the National Academy of Sciences of the United States of America, V101, Nault Andre J., 2011, Journal of Veterinary Medical Education, V38, Almind Tomas C., 1997, Journal of Documentation, V53, Jacso Peter, 2005, Current Science, V89, Huisman Rhonda, 2011, College & Research Libraries News, V72, American Veterinary Medical Association, Veterinary Colleges Accredited by the AVMA, Olson Lynne E., 2011, Journal of Veterinary Medical Education, V38, Neuhaus Christoph, 2008, Journal of Documentation, V64, Youngen Gregory K., 2011, Medical Library Association Annual Meeting, Minneapolis, Minn., ANDRES A, 2009, MEASURING ACAD RES U, P1 Belter Chris, 2012, Online, V36, Huang Jian, 2008, Collaboration over Time: Characterizing and Modeling Network Evolution, Kronick David A., 2001, Library Quarterly, V71, Bradford Samuel C., 1934, Engineering, V137, Huisman Rhonda K., 2011, Proceedings of the 38th National LOEX Conference, V43, Ilic Dragan, 2012, Journal of the Medical Library Association, V100, 1997, Cybermetrics, Bridgewater Rachel, 2009, Public Services Quarterly, V5, *================================================================ Title: Performance analysis of Civil Engineering Journals based on the Web of Science (R) database Authors: Zavadskas, EK; Skibniewski, MJ; Antucheviciene, J Author Full Names: Zavadskas, E. K.; Skibniewski, M. J.; Antucheviciene, J. Source: ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING, 14 (4):519-527; 10.1016/j.acme.2014.05.008 AUG 2014 Language: English Document Type: Article Author Keywords: Civil Engineering Journals, Web of Science, ISI Impact Factor, MCDM, WASPAS KeyWords Plus: IMPACT; CITATION; SCOPUS; INDEX; FIELD Abstract: The presented study analyses the development and performance measures of research journals in the field of civil engineering. As the paper was prepared on the occasion of the 20th anniversary since the Journal of Civil Engineering and Management (JCEM) was founded, it presents detailed description of its evolution. This journal is currently ranked in the 12th position worldwide, based on the values of Impact Factors (IF) published by the Thomson Reuters Institute for Scientific Information (ISI) Web of Knowledge Journal Citation Reports. JCEM entered the first quartile (Q1) of its peer journals based on its worldwide impact in "Engineering, Civil" category of the ISI Web of Science. However, it has been argued that the IF value is not the sole and possibly not the best measure of journal quality. A number of metrics as well as bibliometaic indicators have been developed to measure the impact of scholarly journals. The paper proposes an integrated multiple criteria approach for ranking journals. The essence of the approach lies in the ability to rank journals considering several criteria simultaneously and applying Multiple Criteria Decision Making (MCDM) methods to derive the rankings. Journals from the Q1 quartile of the "Engineering, Civil" category of the Web of Science were analyzed based on seven indicators derived from Journal Citation Reports while applying Weighted Aggregated Sum Product Assessment (WASPAS) method. Integrated rankings with the use of this method were then compared with journal rankings based on their ISI Impact Factor values. (C) 2014 Politechnika Wroclawska. Published by Elsevier Urban & Partner Sp. z o.o. All rights reserved. Addresses: [Zavadskas, E. K.; Antucheviciene, J.] Vilnius Gediminas Tech Univ, Dept Construct Technol & Management, LT-10223 Vilnius, Lithuania. [Skibniewski, M. J.] Univ Maryland, Dept Civil & Environm Engn, College Pk, MD 20742 USA. E-mail Addresses: edmundas.zavadskas at vgtu.lt; mskibniewski at gmail.com; jurgita.antucheviciene at vgtu.lt Cited Reference Count: 29 Times Cited: 0 Publisher: ELSEVIER URBAN & PARTNER SP. Z O O, UL KOSCIUSZKI 29, WROCLAW, 50-011, POLAND ISSN: 1644-9665 eISSN: 2083-3318 Web of Science Categories: Engineering, Civil; Engineering, Mechanical; Materials Science, Multidisciplinary Research Areas: Engineering; Materials Science IDS Number: AS8SB Unique ID: WOS:000344517300001 Cited References: Gonzalez-Pereira Borja, 2010, JOURNAL OF INFORMETRICS, V4, P379 Leydesdorff Loet, 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P352 Zavadskas Edmundas Kazimieras, 2013, ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, V47, P5 Zavadskas E. K., 2012, ELEKTRONIKA IR ELEKTROTECHNIKA, P3 Staniunas M., 2013, ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING, V13, P88 Siozinyte Egle, 2013, JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, V19, P873 Egghe Leo, 2006, SCIENTOMETRICS, V69, P131 Bergstrom C., 2007, College and Research Libraries News, V68, P314 Striogiene A., 2011, Evolution of Science and Technology, V3, P179 Raj R. G., 2012, SCIENTOMETRICS, V93, P305 Rodriguez Marko A., 2009, ACM TRANSACTIONS ON INFORMATION SYSTEMS, V27, van Raan AFJ, 2004, HANDBOOK OF QUANTITATIVE SCIENCE AND TECHNOLOGY RESEARCH: THE USE OF PUBLICATION AND PATENT STATISTICS IN STUDIES OF S&T SYSTEMS, P19 Garfield E, 2006, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V295, P90 Forgionne GA, 2001, INFORMATION & MANAGEMENT, V38, P421 Palacios-Huerta I, 2004, ECONOMETRICA, V72, P963 Araujo John, 2014, ACCOUNTABILITY IN RESEARCH-POLICIES AND QUALITY ASSURANCE, V21, P241 Wang Dashun, 2013, SCIENCE, V342, P127 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Koler-Povh Teja, 2014, SCIENTOMETRICS, V98, P1033 Hashemkhani Zolfani S., 2013, Expert Systems with Applications, V40, P7111 de Winter Joost C. F., 2014, SCIENTOMETRICS, V98, P1547 Dejus Titas, 2013, JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, V19, P728 Garcia J. A., 2012, SCIENTOMETRICS, V90, P925 Czarnecki L., 2013, BULLETIN OF THE POLISH ACADEMY OF SCIENCES-TECHNICAL SCIENCES, V61, P5 Adeli H., 2007, COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, V22, P1 Ma Nan, 2008, INFORMATION PROCESSING & MANAGEMENT, V44, P800 Bartol Tomaz, 2014, SCIENTOMETRICS, V98, P1491 Canas-Guerrero Ignacio, 2013, ENGINEERING STRUCTURES, V56, P2273 Paliulis N.K., 2009, Business: Theory and Practice, V10, P159 Title: The Institute for Scientific Information: A Brief History Authors: Lawlor, B Author Full Names: Lawlor, Bonnie Edited by: McEwen LR; Buntrock RE Source: FUTURE OF THE HISTORY OF CHEMICAL INFORMATION, 1164 109-126; 2014 Book Series: ACS Symposium Series Language: English Document Type: Proceedings Paper Conference Title: Symposium on the History of the Future of Chemical Information / 244th Meeting of the American-Chemical-Society Conference Date: AUG 20, 2012 Conference Location: Philadelphia, PA Conference Sponsors: Amer Chem Soc, Div Chem Informat Abstract: The Information Industry has consolidated over the past thirty to forty years through a series of mergers and acquisitions. Today, the dominant commercial players in scientific publishing are the big players such as the Elseviers and Thomson Reuters of the world and the major non-profits are scientific societies such as the American Chemical Society. But during the second half of the last century there were far more creative entrepreneurial players who were developing what would become essential information services. Among others, these included BIOSIS, Derwent, Dialog, the Institute for Scientific Information, Molecular Design, Ltd., Engineering Information, etc. These no longer exist as stand-alone organizations although their products continue under the umbrella of Elsevier, Thomson Reuters, and ProQuest. This paper will take a look at one of these icons of the past the Institute for Scientific Information (ISI (R)) and the innovative chemist and entrepreneur, Eugene Garfield, who created it. Addresses: Natl Fed Adv Informat Serv NFAIS, Radnor, PA 19087 USA. E-mail Addresses: chescot at aol.com Cited Reference Count: 53 Times Cited: 0 Publisher: AMER CHEMICAL SOC, 1155 SIXTEENTH ST NW, WASHINGTON, DC 20036 USA ISSN: 0097-6156 ISBN: 978-0-8412-2945-7 Web of Science Categories: Chemistry, Multidisciplinary; Computer Science, Information Systems Research Areas: Chemistry; Computer Science IDS Number: BB6ED Unique ID: WOS:000344714100007 Cited References: Garfield E, 1984, Essays of an Information Scientist, V6, P80 Garfield E., 1977, Essays of an Information Scientist, V2, P32 Orion E, 2011, Philadelphia Inquirer, Rumsey E, 2010, Eugene Garfield: Librarian and Grandfather of Google, Garfield E., 1993, Of Nobel Class, Women in Science, Citation Classics, and Other Essays, V15, P84 Williams R. V., Chronology of Chemical Information Science, Garfield E., 1977, Essays of an Information Scientist, V2, P33 Garfield E, 1988, Towards Scientography, V9, Garfield E, 1984, The Awards of Science and Other Essays, V7, P194 Garfield E, 1993, Essays of an Information Scientist, V1, P13 Garfield E, 1981, Essays of an Information Scientist, V4, P359 Garfield E, 1987, Peer Review, Refereeing, Fraud, and Other Essays, V10, P83 Garfield E, 1991, Creativity, Delayed Recognition, and Other Essays, V12, P53 Garfield E, 1977, Essays of an Information Scientist, V2, P173 Garfield E., 1991, Science Reviews, Journalism, Inventiveness and Other Essays, V14, P74 Williams R. V., An Oral Interview with Eugene Garfield, P81 Garfield E., 1977, Essays of an Information Scientist, V2, P399 Garfield E., 1986, Towards Scientography, V9, P222 Garfield E., 1983, Essays of an Information Scientist, V6, P185 Cawkell T., 2001, Institute for Scientific Information. A Century of Scientific Publishing, P151 Garfield E, 1987, Peer Review, Refereeing, Fraud, and Other Essays, V10, P59 Garfield E., 1983, Essays of an Information Scientist, V5, P279 Friedrich O, 1983, Time, V121, P14 Williams R. V., 1997, An Interview with Eugene Garfield, P48 Garfield E., 1977, Essays of an Information Scientist, V1, P18 Garfield E, 1977, Essays of an Information Scientist, V2, Garfield E., 1988, Science Literacy, Policy, Evaluation, and Other Essays, V11, P3311 Wiggins G., 2002, What is Chemical Information?, Mabe M, 2001, SCIENTOMETRICS6th International Conference on Science and Technology Indicators, MAY 24-27, 2000, LEIDEN, NETHERLANDS, V51, P147 Fox Margaret, 2010, The New York Times, Garfield E, 1977, Essays of an Information Scientist, V2, P184 Garfield E., 1993, Of Nobel Class, Women in Science, Citation Classics and Other Essays, V15, P408 Garfield E, 1983, Essays of an Information Scientist, V5, P15 Lawlor B., 2003, Serials Review, V29, P199 Garfield E., 1989, Creativity, Delayed Recognition, and Other Essays, V12, P256 Knox A., 1986, Philadelphia Inquirer, Garfield E, 1977, Essays of an Information Scientist, V2, P142 Garfield E., 1977, Essays of an Information Scientist, V1, P68 Garfield E, 1977, Essays of an Information Scientist, V2, P473 Garfield E., 1988, Science Literacy, policy, Evaluation, and Other Essays, V11, P160 Metanomski V., 1993, 50 Years of Chemical Information in the American Chemical Society, P12 Lawlor B., Information Distribution for the 90s, V1991, P91 Garfield E., 1977, Essays of an Information Scientist, V2, P144 Baker D. B., 1997, Interview by Robert V. Williams and Leo B. Slater at Columbus, OH, Heller S. R., Chemical Substructure Searching on a PC, Garfield E, 1980, Essays of an Information Scientist, V3, P204 Garfield E, 1981, Essays of an Information Scientist, V4, P12 Baykoucheva S., 2010, Chemical Information Bulletin, V62, GARFIELD E, 1955, SCIENCE, V122, P108 Garfield E., 1980, Essays of an Information Scientist, V3, P640 Garfield E, 1980, Essays of an Information Scientist, V3, P556 Garfield E, 1977, Essays of an Infortnation Scientist, V1, P192 Garfield E, 1983, Essays of an Information Scientist, V5, P11 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.gif Type: image/gif Size: 109 bytes Desc: image002.gif URL: From notsjb at LSU.EDU Thu Dec 18 20:02:45 2014 From: notsjb at LSU.EDU (Stephen J Bensman) Date: Fri, 19 Dec 2014 01:02:45 +0000 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: Message-ID: It is resurrection of the JIF, which in many ways is obsolete, but it is a way of standardizing measures. It captures all aspects of scientific value--particularly the importance of the review function, etc. Measuring citations to individual papers is not good, because of subfield variation, which this does correct for by using a scale-standardized journal measure. The power-law distribution will hold for any field with a review function. A department may concentrate in a low-cite subfield, which this may be able to counteract. Anyhow it is a thought and--in my opinion--a good one. It will show how departments line up. You can tell the importance of a person by his number of review articles. Nobelists tend to dominate these. Stephen J. Bensman _______________________________________ From: ASIS&T Special Interest Group on Metrics on behalf of Mark C. Wilson Sent: Thursday, December 18, 2014 2:45 PM To: SIGMETRICS at LISTSERV.UTK.EDU Subject: Re: [SIGMETRICS] Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 Hi Unless I misunderstood that, you are proposing comparing "academic units? by where their publications lie on the JIF distribution. Surely it would be better to see where the actual papers lie on the individual paper citation distribution for each field. Hasn?t JIF been sufficiently discredited for measuring individual papers and researchers, e.g. by Brembs/Munafo:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690355/ ? Even aggregating authors into departments would produce much less reliable results than looking at the citations of the papers themselves, I guess. Is there perhaps a data collection problem, that led you to propose what I think you did? Dr Mark C. Wilson Department of Computer Science, University of Auckland | www.cs.auckland.ac.nz/~mcw/blog/ Director, Centre for Mathematical Social Sciences: cmss.auckland.ac.nz | Managing Editor, OJAC: analytic-combinatorics.org Please don't send me Microsoft Office attachments | I'm boycotting Elsevier - see thecostofknowledge.com > On 19/12/2014, at 9:21, Stephen J Bensman wrote: > >> Just for the hell of it, I would like to propose a method for judging whether one university is doing better than another in a given discipline. It is based on the power-law model or Lotkaian informetrics and the impact factor. As you know, Garfield favored the impact factor because it corrected for physical and temporal size and brought to the top the review journals, whose importance lay at the basis of his theory of scientific progress and citation indexing. However, there is a significant correlation between current citation rate (the impact factor) and total citations, which are heavily influenced by temporal and physical size. That means that the older, bigger, more prestigious journals?Matthew Effect--tend to have a higher IF. If you take a JCR subject category?bad as these things are?and graph the distribution of the journals in that category by impact factor, they will form a negative exponential power-law curve. Then take the publications of the two universities you want to compare. The university, whose publications concentrate further to the right on the asymptote?particularly at the tip, where the review journals are?is having a greater impact on the discipline than the other one is. You could even divide the asymptote into deciles for metric purposes. Simple, visible, and easily understood. Citations correlate very well with peer ratings?the higher the citations from documents with more citations themselves, the greater the correlations, as was proven by Narin and Page even at the semantic level. >> >> Respectfully, >> >> Stephen J Bensman, Ph.D. >> LSU Libraries >> Lousiana State University >> Baton Rouge, LA 70803 >> >> From loet at LEYDESDORFF.NET Fri Dec 19 03:07:46 2014 From: loet at LEYDESDORFF.NET (Loet Leydesdorff) Date: Fri, 19 Dec 2014 09:07:46 +0100 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: Message-ID: What is being proposed is to validate a metric battery so that if it proves to predict the peer rankings (such as they are, warts and all) sufficiently well, then it can replace (or at least supplement) them. Dear Stevan: The multiple regression analysis is static: you can fine-tune your parameters for REF2014; but in 2020, not only the parameters, but also the latent dimensions of the system will have changed. Thus, your previous estimate will not match (unless the system would be very conservative; quod non). Of course, it remain interesting to compare the observed with the expected values, but the difference will not inform you about the validity of your model or the ?error? in the peer review (in 2020). Nevertheless: please, do the exercise! It may be a bit frustrating to have to wait to 2020 for the observations. :( Fitting the parameters for REF 2014 may not be sufficiently interesting in itself. Best, Loet -------------- next part -------------- An HTML attachment was scrubbed... URL: From harnad at ECS.SOTON.AC.UK Fri Dec 19 10:46:39 2014 From: harnad at ECS.SOTON.AC.UK (Stevan Harnad) Date: Fri, 19 Dec 2014 10:46:39 -0500 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: <003f01d01b62$e085bb70$a1913250$@leydesdorff.net> Message-ID: > On Dec 19, 2014, at 3:07 AM, Loet Leydesdorff wrote: > > SH: > What is being proposed is to validate a metric battery so that if it proves to predict the peer rankings (such as they are, warts and all) sufficiently well, then it can replace (or at least supplement) them. > > LL: > The multiple regression analysis is static: you can fine-tune your parameters for REF2014; but in 2020, not only the parameters, but also the latent dimensions of the system will have changed. Thus, your previous estimate will not match (unless the system would be very conservative; quod non). > Of course, it remain interesting to compare the observed with the expected values, but the difference will not inform you about the validity of your model or the ?error? in the peer review (in 2020). > Nevertheless: please, do the exercise! It may be a bit frustrating to have to wait to 2020 for the observations. L > Fitting the parameters for REF 2014 may not be sufficiently interesting in itself. The REF2014 regression analysis has two purposes: (1) To test how well the 2014 rankings could have been predicted by the joint multiple metric equation (2) To initialize the weights on the metrics (by discipline). A validation sample of the size of the UK REF occurs only once every six years, but once the metric weights are initialized against REF2014, the weights can be continuously fine-tuned and optimized on smaller sub-samples. Yes, most (not all) of the metrics are static in time. Continuous updating of the initial weights along with Path Analysis will help correct this. And of course the chronometrics (latency to peak, longevity, half-life, etc.) are intrinsically more dynamic. SH -------------- next part -------------- An HTML attachment was scrubbed... URL: From harnad at ECS.SOTON.AC.UK Fri Dec 19 11:33:14 2014 From: harnad at ECS.SOTON.AC.UK (Stevan Harnad) Date: Fri, 19 Dec 2014 11:33:14 -0500 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: Message-ID: On Dec 19, 2014, at 5:06 AM, Jon Crowcroft wrote: > > I can see you might want 30 params to fit 7500 + Papers - what I am saying is that the _noise_ will be dreadful and also there are systematic reasons which I outlined that mean for low citation/low paper count areas, you will have almost no fit at all 1. Actually, it?s not 7500 papers that are being fitted but the rankings for about 154 institutions x 36 units of assessment (fields) = 5544. 2. You are right that 30 parameters is a lot for each unit of assessment analyzed separately for its 154 rank data-points. Many of the weaker metrics will probably have near zero weights, but the strong ones, and the weight of their contributions, will be estimated. 3. For the low-paper, low-citation fields, the analysis will be comparing likes with likes (and paper-counts and citation counts are not the only potential metrics). I think much of the noise will be coming from the missing metrics because of the missing OA. > the _obvious_ thing people will do is to move all their research to areas which do have a good fit Another solution is to subdivide units of assessments more finely, allowing low-count subfields to compete only among themselves, and then recombine them giving each subfield an a-priori weight in the combined total for the unit of assessment. > predictable research isn't (research) Agreed. (And I am not defending the REF per se, just trying to make the best of it, by testing and validating metrics to supplement or replace costly, time-consuming panel review.) > bad idea - sorry, I just fundamentally disagree about this approach? The REF, or the metric fitting of the peer rankings? > I don't dispute you can (over) fit the data?. The objective is not just to fit the data, but to test how well the metrics can predict the peer rankings, initialize their weights, and use them to supplement or replace future peer rankings. (Of course their predictive power can also be tested by split-half comparisons within the REF2014 sample; and of course the initial weights can continue to be updated across time based on further peer rankings or other criteria.) > > On Thu, Dec 18, 2014 at 11:23 AM, Stevan Harnad > wrote: > >> On Dec 18, 2014, at 3:39 AM, [name deleted because posted off-list] wrote: >> >> that's very high dimensionality in that equation. > > I don?t think 30 metric predictors for about 6% of the planet?s annual research output (UK) is such an under-fit. > > (But we could start with the most likely metrics first, and then see how much variance is accounted for by adding more.) > >> you don't have enough data points to have any decent confidence about those weights - i > > That cannot be stated in advance. First we need to calculate the multiple regression on the REF2014 rankings and determine how much each metric contributes. > >> suggest you look at the REF data? and see how many different journal/venues and all over the ACM Classification hierarchy, the 7000 odd outputs appeared in - you'll find in any given venue, topic you rarely have more than a handful of items - your variance will be terrible > > The proposal is not to assess the predictive power of any one of the 4 publications submitted. > > The REF2014 peer rankings themselves are based on peers (putatively) re-reading those 4 pubs per researcher, but the regression equation I sketched is based on (OA) data that go far beyond that. > > (In point of fact, it?s absurd and arbitrary to base the REF assessment on just 4 papers in a 6-year stretch. That restriction is dictated by the demands of the peers having to read all those papers, but open-access metrics can be harvested and have no such human bottleneck constraint on them. What you could complain, legitimately, is that not all those potential data are OA yet... Well, yes ? and that?s part of the point.) > > REF2020Rank = > > w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) + w6(hits) + w7(cite-peak-latency) + w8(hit-peak-latency) + w9(citedecay) + w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), + w25(comments) + w26(acad-likes) etc. etc. > >> and the result of munging all those _different_ distributions into one single model will be to prssure people to move their work areas to the best fit topic/venue, which is not a true measure of anything desired by us of HEFCE or RC.UK to my knowledge. > > I cannot fathom what one, two, three or N things a researcher can do in order to maximize their score on the above equation (other than to try to do good, important, useful work?). > >> please do the detailed work? > > Will try. But there a few details you need to get straight too? (<:3 > >> >> On Wed, Dec 17, 2014 at 3:38 PM, Stevan Harnad > wrote: >> >>> On Dec 17, 2014, at 9:54 AM, Alan Burns > wrote: >>> >>> Those that advocate metrics have never, to at least my satisfaction, answered the >>> argument that accuracy in the past does not mean effectiveness in the future, >>> once the game has changed. >> >> I recommend Bradley on metaphysics and Hume on induction : >> >> "The man who is ready to prove that metaphysical knowledge is wholly impossible? is a brother metaphysician with a rival theory ? Bradley, F. H. (1893) Appearance and Reality >> >> One could have asked the same question about apples continuing to fall down in future, rather than up. >> >> Yes, single metrics can be abused, but not only van abuses be named and shamed when detected, but it become harder to abuse metrics when they are part of a multiple, inter-correlated vector, with disciplinary profiles on their normal interactions: someone dispatching a robot to download his papers would quickly be caught out when the usual correlation between downloads and later citations fails to appear. Add more variables and it gets even harder, >> >>> Even if one was able to define a set of metrics that perfectly matches REF2014. >>> The announcement that these metric would be used in REF2020 would >>> immediately invalidate there use. >> >> In a weighted vector of multiple metrics like the sample I had listed, it?s no use to a researcher if told that for REF2020 the mertic equation will be the following, with the following weights for their particular discipline: >> >> w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) w6(hits) +w7(cite-peak-latency) + w8(hit-peak-latency) +w9(citedecay) +w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), +w25(comments) + w26(acad-likes) etc. etc. >> >> The potential list could be much longer, and the weights can be positive or negative, and varying by discipline. >> >> "The man who is ready to prove that metric knowledge is wholly impossible? is a brother metrician with rival m etrics?? >> >>> if you wanted to do this properly, you should have to take a lot of outputs that were NOT submitted and run any metric scheme on them as well as those submitted. >>>> too late:) > > You would indeed ? and that?s why it all has to be made OA? > >>>> On Wed, Dec 17, 2014 at 2:26 PM, Stevan Harnad > wrote: >>>> Steven Hill of HEFCE has posted ?an overview of the work HEFCE are currently commissioning which they are hoping will build a robust evidence base for research assessment? in LSE Impact Blog 12(17) 2014 entitled Time for REFlection: HEFCE look ahead to provide rounded evaluation of the REF >>>> >>>> Let me add a suggestion, updated for REF2014, that I have made before (unheeded): >>>> >>>> Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Excellence Framework (REF) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, tweets, tags, etc.) can all be tested and validated jointly, discipline by discipline, against their REF panel rankings in REF2014. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster. >>>> >>>> Harnad, S. (2009) Open Access Scientometrics and the UK Research Assessment Exercise . Scientometrics 79 (1) Also in Proceedings of 11th Annual Meeting of the International Society for Scientometrics and Informetrics 11(1), pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. (2007) >>>> >>>> See also: >>>> The Only Substitute for Metrics is Better Metrics (2014) >>>> and >>>> On Metrics and Metaphysics (2008) > > -------------- next part -------------- An HTML attachment was scrubbed... URL: From gopal at ANNAUNIV.EDU Fri Dec 19 16:11:05 2014 From: gopal at ANNAUNIV.EDU (Gopal T V) Date: Sat, 20 Dec 2014 02:41:05 +0530 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: <7F87371D-0F28-47AB-82CD-AABFA5F8E99F@ecs.soton.ac.uk> Message-ID: Dear Dr. Steven Harnad, I have been studying this "discussion thread". I view the metrics [Parameters & Weightages are well appreciated] as a means of positioning the research results globally with a "quality indicator" leaving the facilitation to ensure the Identity & Vision of a given Institution to its very own governance models. Metrics do not automatically imply "knowing" both Science and the Scientist [the generator of this Science] together for there is a disconnect between the formula and the reality. If this is not assured, we once again stare at the path towards the IPR. IMHO, Metrics help or indicate correctives to "sluggishness" than a truly means of observation or discovery. As you would appreciate, Science has been expressed in a multitude of languages and it may have to be that way as well. A couple of quick questions: How are translations of original works traced in "Open Access" ? Is there a way of tracing the "mutations" in the progressive expressions of research results ? Your thoughts.. Warmest Regards Gopal T V 0 98401 21302 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Dr. T V Gopal Professor Department of Computer Science and Engineering College of Engineering Anna University Chennai - 600 025, INDIA Ph : (Off) 22351723 Extn. 3340 (Res) 24454753 Home Page : http://www.annauniv.edu/staff/gopal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ On Fri, December 19, 2014 10:03 pm, Stevan Harnad wrote: > Adminstrative info for SIGMETRICS (for example unsubscribe): > http://web.utk.edu/~gwhitney/sigmetrics.html > > On Dec 19, 2014, at 5:06 AM, Jon Crowcroft wrote: >> I can see you might want 30 params to fit 7500 + Papers - what I am saying is that the _noise_ will be dreadful and also there are >> systematic reasons which I outlined that mean for low citation/low paper >> count areas, you will have almost no fit at all > > 1. Actually, it???s not 7500 papers that are being fitted but the rankings > for about 154 institutions x 36 units of assessment (fields) = 5544. > > 2. You are right that 30 parameters is a lot for each unit of assessment analyzed separately for its 154 rank data-points. Many of the weaker metrics will probably have near zero weights, but the strong ones, and the > weight of their contributions, will be estimated. > > 3. For the low-paper, low-citation fields, the analysis will be comparing > likes with likes (and paper-counts and citation counts are not the only potential metrics). > > I think much of the noise will be coming from the missing metrics because > of the missing OA. > >> the _obvious_ thing people will do is to move all their research to areas which do have a good fit > > Another solution is to subdivide units of assessments more finely, allowing low-count subfields to compete only among themselves, and then recombine them giving each subfield an a-priori weight in the combined total for the unit of assessment. > >> predictable research isn't (research) > > Agreed. (And I am not defending the REF per se, just trying to make the best of it, by testing and validating metrics to supplement or replace costly, time-consuming panel review.) > >> bad idea - sorry, I just fundamentally disagree about this approach??? > > The REF, or the metric fitting of the peer rankings? > >> I don't dispute you can (over) fit the data???. > > The objective is not just to fit the data, but to test how well the metrics can predict the peer rankings, initialize their weights, and use them to supplement or replace future peer rankings. > > (Of course their predictive power can also be tested by split-half comparisons within the REF2014 sample; and of course the initial weights can continue to be updated across time based on further peer rankings or other criteria.) > >> On Thu, Dec 18, 2014 at 11:23 AM, Stevan Harnad > wrote: >>> On Dec 18, 2014, at 3:39 AM, [name deleted because posted off-list] wrote: >>> that's very high dimensionality in that equation. >> I don???t think 30 metric predictors for about 6% of the planet???s annual research output (UK) is such an under-fit. >> (But we could start with the most likely metrics first, and then see how >> much variance is accounted for by adding more.) >>> you don't have enough data points to have any decent confidence about those weights - i >> That cannot be stated in advance. First we need to calculate the multiple regression on the REF2014 rankings and determine how much each metric contributes. >>> suggest you look at the REF data??? and see how many different journal/venues and all over the ACM Classification hierarchy, the 7000 odd outputs appeared in - you'll find in any given venue, topic you rarely have more than a handful of items - your variance will be terrible >> The proposal is not to assess the predictive power of any one of the 4 publications submitted. >> The REF2014 peer rankings themselves are based on peers (putatively) re-reading those 4 pubs per researcher, but the regression equation I sketched is based on (OA) data that go far beyond that. >> (In point of fact, it???s absurd and arbitrary to base the REF >> assessment on just 4 papers in a 6-year stretch. That restriction is dictated by the demands of the peers having to read all those papers, but open-access metrics can be harvested and have no such human bottleneck constraint on them. What you could complain, legitimately, is >> that not all those potential data are OA yet... Well, yes ??? and that???s part of the point.) >> REF2020Rank = >> w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) + w6(hits) + w7(cite-peak-latency) + w8(hit-peak-latency) + w9(citedecay) + w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + >> w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), + w25(comments) + >> w26(acad-likes) etc. etc. >>> and the result of munging all those _different_ distributions into one single model will be to prssure people to move their work areas to the best fit topic/venue, which is not a true measure of anything desired by us of HEFCE or RC.UK to my knowledge. >> I cannot fathom what one, two, three or N things a researcher can do in order to maximize their score on the above equation (other than to try to do good, important, useful work???). >>> please do the detailed work??? >> Will try. But there a few details you need to get straight too??? (<:3 >>> On Wed, Dec 17, 2014 at 3:38 PM, Stevan Harnad > wrote: >>>> On Dec 17, 2014, at 9:54 AM, Alan Burns > wrote: >>>> Those that advocate metrics have never, to at least my satisfaction, answered the >>>> argument that accuracy in the past does not mean effectiveness in the future, >>>> once the game has changed. >>> I recommend Bradley on metaphysics and Hume on induction >>> : >>> "The man who is ready to prove that metaphysical knowledge is wholly impossible??? is a brother metaphysician with a rival theory >>> ??? Bradley, F. H. (1893) Appearance and Reality >>> One could have asked the same question about apples continuing to fall down in future, rather than up. >>> Yes, single metrics can be abused, but not only van abuses be named and >>> shamed when detected, but it become harder to abuse metrics when they are part of a multiple, inter-correlated vector, with disciplinary profiles on their normal interactions: someone dispatching a robot to download his papers would quickly be caught out when the usual correlation between downloads and later citations fails to appear. Add more variables and it gets even harder, >>>> Even if one was able to define a set of metrics that perfectly matches >>>> REF2014. >>>> The announcement that these metric would be used in REF2020 would immediately invalidate there use. >>> In a weighted vector of multiple metrics like the sample I had listed, it???s no use to a researcher if told that for REF2020 the mertic equation will be the following, with the following weights for their particular discipline: >>> w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) w6(hits) +w7(cite-peak-latency) + w8(hit-peak-latency) +w9(citedecay) +w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) + >>> w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites >>> + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + w22(co-text) + w23(tweets) + w24(tags), +w25(comments) + >>> w26(acad-likes) etc. etc. >>> The potential list could be much longer, and the weights can be positive or negative, and varying by discipline. >>> "The man who is ready to prove that metric knowledge is wholly impossible??? is a brother metrician with rival m >>> etrics?????? >>>> if you wanted to do this properly, you should have to take a lot of outputs that were NOT submitted and run any metric scheme on them as well as those submitted. >>>>> too late:) >> You would indeed ??? and that???s why it all has to be made OA??? >>>>> On Wed, Dec 17, 2014 at 2:26 PM, Stevan Harnad >>>>> > wrote: Steven Hill of HEFCE has posted ???an overview of the work HEFCE are currently commissioning which they are hoping will build a robust evidence base for research assessment??? in LSE Impact Blog 12(17) 2014 entitled Time for REFlection: HEFCE look ahead to provide rounded evaluation of the REF >>>>> Let me add a suggestion, updated for REF2014, that I have made before >>>>> (unheeded): >>>>> Scientometric predictors of research performance need to be validated >>>>> by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Excellence Framework (REF) -- together with the growing movement toward making the full-texts of research articles freely available on the web -- offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, >>>>> download/co-downloads and their chronometrics, tweets, tags, etc.) can all be tested and validated jointly, discipline by discipline, against their REF panel rankings in REF2014. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing >>>>> Open Access database, as well as powerful incentives for making it grow faster. >>>>> Harnad, S. (2009) Open Access Scientometrics and the UK Research Assessment Exercise . Scientometrics 79 (1) Also in Proceedings of 11th Annual Meeting of the International Society for Scientometrics and Informetrics 11(1), pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. (2007) >>>>> See also: >>>>> The Only Substitute for Metrics is Better Metrics >>>>> (2014) >>>>> and >>>>> On Metrics and Metaphysics >>>>> (2008) > > From harnad at ECS.SOTON.AC.UK Fri Dec 19 18:26:51 2014 From: harnad at ECS.SOTON.AC.UK (Stevan Harnad) Date: Fri, 19 Dec 2014 18:26:51 -0500 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: <52170.10.5.82.253.1419023465.squirrel@mail.annauniv.edu> Message-ID: On Dec 19, 2014, at 4:11 PM, Gopal T V wrote: > I view the metrics [Parameters & Weightages are well appreciated] as a > means of positioning the research results globally with a "quality > indicator" leaving the facilitation to ensure the Identity & Vision of a > given Institution to its very own governance models. > > Metrics do not automatically imply "knowing" both Science and the > Scientist [the generator of this Science] together for there is a > disconnect between the formula and the reality. If this is not assured, we > once again stare at the path towards the IPR. > > IMHO, Metrics help or indicate correctives to "sluggishness" than a truly > means of observation or discovery. > > As you would appreciate, Science has been expressed in a multitude of > languages and it may have to be that way as well. Dear Professor Gopal, This is not a discussion of the merits of the principle of research assessment in general or the UK?s REF2014. Nor is it a discussion of the merits of using metrics. It is a discussion of the proposal to validate multiple metrics against the REF2014 peer rankings, as criterion, with a view to the possibility of substituting the metrics for the peer rankings in future, or at least supplementing them, if the predictive power of the metrics proves sufficiently high. (Note that the REF2014 rankings were not arrived at via metrics, but via peer panel rankings in each of 36 ?units of assessment? (roughly, disciplines) for 154 UK universities.) You ask: > How are translations of original works traced in "Open Access? ? I don?t understand your question. Whether the text is in the original language or in translation, if it is made OA, it is OA, if not, not. > Is there a way of tracing the "mutations" in the progressive expressions > of research results ? That is one of the possibilities of OA metrics ? if the mutations are all made OA. (Same for linking texts with translations.) Best wishes, Stevan Harnad > On Fri, December 19, 2014 10:03 pm, Stevan Harnad wrote: >> Adminstrative info for SIGMETRICS (for example unsubscribe): >> http://web.utk.edu/~gwhitney/sigmetrics.html >> >> On Dec 19, 2014, at 5:06 AM, Jon Crowcroft > wrote: >>> I can see you might want 30 params to fit 7500 + Papers - what I am > saying is that the _noise_ will be dreadful and also there are >>> systematic reasons which I outlined that mean for low citation/low > paper >>> count areas, you will have almost no fit at all >> >> 1. Actually, it???s not 7500 papers that are being fitted but the > rankings >> for about 154 institutions x 36 units of assessment (fields) = 5544. >> >> 2. You are right that 30 parameters is a lot for each unit of assessment > analyzed separately for its 154 rank data-points. Many of the weaker > metrics will probably have near zero weights, but the strong ones, and > the >> weight of their contributions, will be estimated. >> >> 3. For the low-paper, low-citation fields, the analysis will be > comparing >> likes with likes (and paper-counts and citation counts are not the only > potential metrics). >> >> I think much of the noise will be coming from the missing metrics > because >> of the missing OA. >> >>> the _obvious_ thing people will do is to move all their research to > areas which do have a good fit >> >> Another solution is to subdivide units of assessments more finely, > allowing low-count subfields to compete only among themselves, and then > recombine them giving each subfield an a-priori weight in the combined > total for the unit of assessment. >> >>> predictable research isn't (research) >> >> Agreed. (And I am not defending the REF per se, just trying to make the > best of it, by testing and validating metrics to supplement or replace > costly, time-consuming panel review.) >> >>> bad idea - sorry, I just fundamentally disagree about this approach??? >> >> The REF, or the metric fitting of the peer rankings? >> >>> I don't dispute you can (over) fit the data???. >> >> The objective is not just to fit the data, but to test how well the > metrics can predict the peer rankings, initialize their weights, and use > them to supplement or replace future peer rankings. >> >> (Of course their predictive power can also be tested by split-half > comparisons within the REF2014 sample; and of course the initial weights > can continue to be updated across time based on further peer rankings or > other criteria.) >> >>> On Thu, Dec 18, 2014 at 11:23 AM, Stevan Harnad > wrote: >>>> On Dec 18, 2014, at 3:39 AM, [name deleted because posted off-list] > wrote: >>>> that's very high dimensionality in that equation. >>> I don???t think 30 metric predictors for about 6% of the planet???s > annual research output (UK) is such an under-fit. >>> (But we could start with the most likely metrics first, and then see > how >>> much variance is accounted for by adding more.) >>>> you don't have enough data points to have any decent confidence about > those weights - i >>> That cannot be stated in advance. First we need to calculate the > multiple regression on the REF2014 rankings and determine how much each > metric contributes. >>>> suggest you look at the REF data??? and see how many different > journal/venues and all over the ACM Classification hierarchy, the 7000 > odd outputs appeared in - you'll find in any given venue, topic you > rarely have more than a handful of items - your variance will be > terrible >>> The proposal is not to assess the predictive power of any one of the 4 > publications submitted. >>> The REF2014 peer rankings themselves are based on peers (putatively) > re-reading those 4 pubs per researcher, but the regression equation I > sketched is based on (OA) data that go far beyond that. >>> (In point of fact, it???s absurd and arbitrary to base the REF >>> assessment on just 4 papers in a 6-year stretch. That restriction is > dictated by the demands of the peers having to read all those papers, > but open-access metrics can be harvested and have no such human > bottleneck constraint on them. What you could complain, legitimately, > is >>> that not all those potential data are OA yet... Well, yes ??? and > that???s part of the point.) >>> REF2020Rank = >>> w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) + > w6(hits) + w7(cite-peak-latency) + w8(hit-peak-latency) + w9(citedecay) > + w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) > + >>> w14(prior-funding) +w15(bookcites) + w16(student-counts) + w17(co-cites > + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + > w22(co-text) + w23(tweets) + w24(tags), + w25(comments) + >>> w26(acad-likes) etc. etc. >>>> and the result of munging all those _different_ distributions into one > single model will be to prssure people to move their work areas to the > best fit topic/venue, which is not a true measure of anything desired > by us of HEFCE or RC.UK to my knowledge. >>> I cannot fathom what one, two, three or N things a researcher can do in > order to maximize their score on the above equation (other than to try > to do good, important, useful work???). >>>> please do the detailed work??? >>> Will try. But there a few details you need to get straight too??? (<:3 >>>> On Wed, Dec 17, 2014 at 3:38 PM, Stevan Harnad > wrote: >>>>> On Dec 17, 2014, at 9:54 AM, Alan Burns > wrote: >>>>> Those that advocate metrics have never, to at least my satisfaction, > answered the >>>>> argument that accuracy in the past does not mean effectiveness in the > future, >>>>> once the game has changed. >>>> I recommend Bradley on metaphysics and Hume on induction >>>> : >>>> "The man who is ready to prove that metaphysical knowledge is wholly > impossible??? is a brother metaphysician with a rival theory >>>> ??? > Bradley, F. H. (1893) Appearance and Reality >>>> One could have asked the same question about apples continuing to fall > down in future, rather than up. >>>> Yes, single metrics can be abused, but not only van abuses be named > and >>>> shamed when detected, but it become harder to abuse metrics when they > are part of a multiple, inter-correlated vector, with disciplinary > profiles on their normal interactions: someone dispatching a robot to > download his papers would quickly be caught out when the usual > correlation between downloads and later citations fails to appear. Add > more variables and it gets even harder, >>>>> Even if one was able to define a set of metrics that perfectly > matches >>>>> REF2014. >>>>> The announcement that these metric would be used in REF2020 would > immediately invalidate there use. >>>> In a weighted vector of multiple metrics like the sample I had listed, > it???s no use to a researcher if told that for REF2020 the mertic > equation will be the following, with the following weights for their > particular discipline: >>>> w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) > w6(hits) +w7(cite-peak-latency) + w8(hit-peak-latency) +w9(citedecay) > +w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) > + >>>> w14(prior-funding) +w15(bookcites) + w16(student-counts) + > w17(co-cites >>>> + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + > w22(co-text) + w23(tweets) + w24(tags), +w25(comments) + >>>> w26(acad-likes) etc. etc. >>>> The potential list could be much longer, and the weights can be > positive or negative, and varying by discipline. >>>> "The man who is ready to prove that metric knowledge is wholly > impossible??? is a brother metrician with rival m >>>> etrics?????? >>>>> if you wanted to do this properly, you should have to take a lot of > outputs that were NOT submitted and run any metric scheme on them as > well as those submitted. >>>>>> too late:) >>> You would indeed ??? and that???s why it all has to be made OA??? >>>>>> On Wed, Dec 17, 2014 at 2:26 PM, Stevan Harnad >>>>>> > wrote: > Steven Hill of HEFCE has posted ???an overview of the work HEFCE are > currently commissioning which they are hoping will build a robust > evidence base for research assessment??? in LSE Impact Blog 12(17) > 2014 entitled Time for REFlection: HEFCE look ahead to provide > rounded evaluation of the REF >>>>>> > Let me add a suggestion, updated for REF2014, that I have made > before >>>>>> (unheeded): >>>>>> Scientometric predictors of research performance need to be > validated >>>>>> by showing that they have a high correlation with the external > criterion they are trying to predict. The UK Research Excellence > Framework (REF) -- together with the growing movement toward making > the full-texts of research articles freely available on the web -- > offer a unique opportunity to test and validate a wealth of old and > new scientometric predictors, through multiple regression analysis: > Publications, journal impact factors, citations, co-citations, > citation chronometrics (age, growth, latency to peak, decay rate), > hub/authority scores, h-index, prior funding, student counts, > co-authorship scores, endogamy/exogamy, textual proximity, >>>>>> download/co-downloads and their chronometrics, tweets, tags, etc.) > can all be tested and validated jointly, discipline by discipline, > against their REF panel rankings in REF2014. The weights of each > predictor can be calibrated to maximize the joint correlation with > the rankings. Open Access Scientometrics will provide powerful new > means of navigating, evaluating, predicting and analyzing the > growing >>>>>> Open Access database, as well as powerful incentives for making it > grow faster. >>>>>> Harnad, S. (2009) Open Access Scientometrics and the UK Research > Assessment Exercise . > Scientometrics 79 (1) Also in Proceedings of 11th Annual Meeting of > the International Society for Scientometrics and Informetrics 11(1), > pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. > (2007) >>>>>> See also: >>>>>> The Only Substitute for Metrics is Better Metrics >>>>>> > (2014) >>>>>> and >>>>>> On Metrics and Metaphysics >>>>>> > (2008) >> >> From gopal at ANNAUNIV.EDU Fri Dec 19 19:40:18 2014 From: gopal at ANNAUNIV.EDU (Gopal T V) Date: Sat, 20 Dec 2014 06:10:18 +0530 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: Message-ID: Dear Dr. Stevan Harnad, Many thanks for the mail. The need for Metrics is well appreciated. The efforts of eminent scholars like you in this area are fantastic. Coming from the domain of Software Engineering, I read the terms Verification and Validation as follows. Verification: Are we building the metric system right ? [As of now, this thread is aiming to understand this aspect. Assurances will emerge on the process of maturation of this system]. Validation: Are we building the right metric system ? [This is based on the overall purpose for which we need this system is built. My observations are from this standpoint]. I subscribe to Open access (OA) which primarily means unrestricted online access to peer-reviewed scholarly research. I have following REF2014 and the efforts are appreciated. If a paper in "X" language is translated into "Y" language by a translator [author(s) are only acknowledged], what will be the difference in the rankings of these versions ? It is your call..if we need to take this forward off-line.. Thank you again for your mail. Warmest Regards Gopal T V 0 98401 21302 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Dr. T V Gopal Professor Department of Computer Science and Engineering College of Engineering Anna University Chennai - 600 025, INDIA Ph : (Off) 22351723 Extn. 3340 (Res) 24454753 Home Page : http://www.annauniv.edu/staff/gopal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ On Sat, December 20, 2014 4:56 am, Stevan Harnad wrote: > Adminstrative info for SIGMETRICS (for example unsubscribe): > http://web.utk.edu/~gwhitney/sigmetrics.html > > On Dec 19, 2014, at 4:11 PM, Gopal T V wrote: > >> I view the metrics [Parameters & Weightages are well appreciated] as a >> means of positioning the research results globally with a "quality >> indicator" leaving the facilitation to ensure the Identity & Vision of a >> given Institution to its very own governance models. >> >> Metrics do not automatically imply "knowing" both Science and the >> Scientist [the generator of this Science] together for there is a >> disconnect between the formula and the reality. If this is not assured, >> we >> once again stare at the path towards the IPR. >> >> IMHO, Metrics help or indicate correctives to "sluggishness" than a >> truly >> means of observation or discovery. >> >> As you would appreciate, Science has been expressed in a multitude of >> languages and it may have to be that way as well. > > Dear Professor Gopal, > > This is not a discussion of the merits of the principle of research > assessment in general or the UK???s REF2014. > > Nor is it a discussion of the merits of using metrics. > > It is a discussion of the proposal to validate multiple metrics against > the REF2014 peer rankings, as criterion, with a view to the possibility of > substituting the metrics for the peer rankings in future, or at least > supplementing them, if the predictive power of the metrics proves > sufficiently high. > > (Note that the REF2014 rankings were not arrived at via metrics, but via > peer panel rankings in each of 36 ???units of assessment??? (roughly, > disciplines) for 154 UK universities.) > > You ask: > >> How are translations of original works traced in "Open Access??? ? > > I don???t understand your question. Whether the text is in the original > language or in translation, if it is made OA, it is OA, if not, not. > >> Is there a way of tracing the "mutations" in the progressive expressions >> of research results ? > > That is one of the possibilities of OA metrics ??? if the mutations are > all made OA. (Same for linking texts with translations.) > > Best wishes, > Stevan Harnad > >> On Fri, December 19, 2014 10:03 pm, Stevan Harnad wrote: >>> Adminstrative info for SIGMETRICS (for example unsubscribe): >>> http://web.utk.edu/~gwhitney/sigmetrics.html >>> >>> On Dec 19, 2014, at 5:06 AM, Jon Crowcroft >> wrote: >>>> I can see you might want 30 params to fit 7500 + Papers - what I am >> saying is that the _noise_ will be dreadful and also there are >>>> systematic reasons which I outlined that mean for low citation/low >> paper >>>> count areas, you will have almost no fit at all >>> >>> 1. Actually, it??????s not 7500 papers that are being fitted but the >> rankings >>> for about 154 institutions x 36 units of assessment (fields) = 5544. >>> >>> 2. You are right that 30 parameters is a lot for each unit of >>> assessment >> analyzed separately for its 154 rank data-points. Many of the weaker >> metrics will probably have near zero weights, but the strong ones, and >> the >>> weight of their contributions, will be estimated. >>> >>> 3. For the low-paper, low-citation fields, the analysis will be >> comparing >>> likes with likes (and paper-counts and citation counts are not the only >> potential metrics). >>> >>> I think much of the noise will be coming from the missing metrics >> because >>> of the missing OA. >>> >>>> the _obvious_ thing people will do is to move all their research to >> areas which do have a good fit >>> >>> Another solution is to subdivide units of assessments more finely, >> allowing low-count subfields to compete only among themselves, and then >> recombine them giving each subfield an a-priori weight in the combined >> total for the unit of assessment. >>> >>>> predictable research isn't (research) >>> >>> Agreed. (And I am not defending the REF per se, just trying to make the >> best of it, by testing and validating metrics to supplement or replace >> costly, time-consuming panel review.) >>> >>>> bad idea - sorry, I just fundamentally disagree about this >>>> approach?????? >>> >>> The REF, or the metric fitting of the peer rankings? >>> >>>> I don't dispute you can (over) fit the data??????. >>> >>> The objective is not just to fit the data, but to test how well the >> metrics can predict the peer rankings, initialize their weights, and use >> them to supplement or replace future peer rankings. >>> >>> (Of course their predictive power can also be tested by split-half >> comparisons within the REF2014 sample; and of course the initial weights >> can continue to be updated across time based on further peer rankings or >> other criteria.) >>> >>>> On Thu, Dec 18, 2014 at 11:23 AM, Stevan Harnad >>>> > > wrote: >>>>> On Dec 18, 2014, at 3:39 AM, [name deleted because posted off-list] >> wrote: >>>>> that's very high dimensionality in that equation. >>>> I don??????t think 30 metric predictors for about 6% of the >>>> planet??????s >> annual research output (UK) is such an under-fit. >>>> (But we could start with the most likely metrics first, and then see >> how >>>> much variance is accounted for by adding more.) >>>>> you don't have enough data points to have any decent confidence about >> those weights - i >>>> That cannot be stated in advance. First we need to calculate the >> multiple regression on the REF2014 rankings and determine how much each >> metric contributes. >>>>> suggest you look at the REF data?????? and see how many different >> journal/venues and all over the ACM Classification hierarchy, the 7000 >> odd outputs appeared in - you'll find in any given venue, topic you >> rarely have more than a handful of items - your variance will be >> terrible >>>> The proposal is not to assess the predictive power of any one of the 4 >> publications submitted. >>>> The REF2014 peer rankings themselves are based on peers (putatively) >> re-reading those 4 pubs per researcher, but the regression equation I >> sketched is based on (OA) data that go far beyond that. >>>> (In point of fact, it??????s absurd and arbitrary to base the REF >>>> assessment on just 4 papers in a 6-year stretch. That restriction is >> dictated by the demands of the peers having to read all those papers, >> but open-access metrics can be harvested and have no such human >> bottleneck constraint on them. What you could complain, legitimately, >> is >>>> that not all those potential data are OA yet... Well, yes ?????? and >> that??????s part of the point.) >>>> REF2020Rank = >>>> w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) + >> w6(hits) + w7(cite-peak-latency) + w8(hit-peak-latency) + w9(citedecay) >> + w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) >> + >>>> w14(prior-funding) +w15(bookcites) + w16(student-counts) + >>>> w17(co-cites >> + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + >> w22(co-text) + w23(tweets) + w24(tags), + w25(comments) + >>>> w26(acad-likes) etc. etc. >>>>> and the result of munging all those _different_ distributions into >>>>> one >> single model will be to prssure people to move their work areas to the >> best fit topic/venue, which is not a true measure of anything desired >> by us of HEFCE or RC.UK to my knowledge. >>>> I cannot fathom what one, two, three or N things a researcher can do >>>> in >> order to maximize their score on the above equation (other than to try >> to do good, important, useful work??????). >>>>> please do the detailed work?????? >>>> Will try. But there a few details you need to get straight too?????? >>>> (<:3 >>>>> On Wed, Dec 17, 2014 at 3:38 PM, Stevan Harnad >>>>> > > wrote: >>>>>> On Dec 17, 2014, at 9:54 AM, Alan Burns > > wrote: >>>>>> Those that advocate metrics have never, to at least my satisfaction, >> answered the >>>>>> argument that accuracy in the past does not mean effectiveness in >>>>>> the >> future, >>>>>> once the game has changed. >>>>> I recommend Bradley on metaphysics and Hume on induction >>>>> : >>>>> "The man who is ready to prove that metaphysical knowledge is wholly >> impossible?????? is a brother metaphysician with a rival theory >>>>> ?????? >> Bradley, F. H. (1893) Appearance and Reality >>>>> One could have asked the same question about apples continuing to >>>>> fall >> down in future, rather than up. >>>>> Yes, single metrics can be abused, but not only van abuses be named >> and >>>>> shamed when detected, but it become harder to abuse metrics when they >> are part of a multiple, inter-correlated vector, with disciplinary >> profiles on their normal interactions: someone dispatching a robot to >> download his papers would quickly be caught out when the usual >> correlation between downloads and later citations fails to appear. Add >> more variables and it gets even harder, >>>>>> Even if one was able to define a set of metrics that perfectly >> matches >>>>>> REF2014. >>>>>> The announcement that these metric would be used in REF2020 would >> immediately invalidate there use. >>>>> In a weighted vector of multiple metrics like the sample I had >>>>> listed, >> it??????s no use to a researcher if told that for REF2020 the mertic >> equation will be the following, with the following weights for their >> particular discipline: >>>>> w1(pubcount) + w2(JIF) + w3(cites) +w4(art-age) + w5(art-growth) >> w6(hits) +w7(cite-peak-latency) + w8(hit-peak-latency) +w9(citedecay) >> +w10(hitdecay) + w11(hub-score) + w12(authority+score) + w13(h-index) >> + >>>>> w14(prior-funding) +w15(bookcites) + w16(student-counts) + >> w17(co-cites >>>>> + w18(co-hits) + w19(co-authors) + w20(endogamy) + w21(exogamy) + >> w22(co-text) + w23(tweets) + w24(tags), +w25(comments) + >>>>> w26(acad-likes) etc. etc. >>>>> The potential list could be much longer, and the weights can be >> positive or negative, and varying by discipline. >>>>> "The man who is ready to prove that metric knowledge is wholly >> impossible?????? is a brother metrician with rival m >>>>> etrics???????????? >>>>>> if you wanted to do this properly, you should have to take a lot of >> outputs that were NOT submitted and run any metric scheme on them as >> well as those submitted. >>>>>>> too late:) >>>> You would indeed ?????? and that??????s why it all has to be made >>>> OA?????? >>>>>>> On Wed, Dec 17, 2014 at 2:26 PM, Stevan Harnad >>>>>>> > wrote: >> Steven Hill of HEFCE has posted ??????an overview of the work HEFCE are >> currently commissioning which they are hoping will build a robust >> evidence base for research assessment?????? in LSE Impact Blog 12(17) >> 2014 entitled Time for REFlection: HEFCE look ahead to provide >> rounded evaluation of the REF >>>>>>> >> Let me add a suggestion, updated for REF2014, that I have made >> before >>>>>>> (unheeded): >>>>>>> Scientometric predictors of research performance need to be >> validated >>>>>>> by showing that they have a high correlation with the external >> criterion they are trying to predict. The UK Research Excellence >> Framework (REF) -- together with the growing movement toward making >> the full-texts of research articles freely available on the web -- >> offer a unique opportunity to test and validate a wealth of old and >> new scientometric predictors, through multiple regression analysis: >> Publications, journal impact factors, citations, co-citations, >> citation chronometrics (age, growth, latency to peak, decay rate), >> hub/authority scores, h-index, prior funding, student counts, >> co-authorship scores, endogamy/exogamy, textual proximity, >>>>>>> download/co-downloads and their chronometrics, tweets, tags, etc.) >> can all be tested and validated jointly, discipline by discipline, >> against their REF panel rankings in REF2014. The weights of each >> predictor can be calibrated to maximize the joint correlation with >> the rankings. Open Access Scientometrics will provide powerful new >> means of navigating, evaluating, predicting and analyzing the >> growing >>>>>>> Open Access database, as well as powerful incentives for making it >> grow faster. >>>>>>> Harnad, S. (2009) Open Access Scientometrics and the UK Research >> Assessment Exercise . >> Scientometrics 79 (1) Also in Proceedings of 11th Annual Meeting of >> the International Society for Scientometrics and Informetrics 11(1), >> pp. 27-33, Madrid, Spain. Torres-Salinas, D. and Moed, H. F., Eds. >> (2007) >>>>>>> See also: >>>>>>> The Only Substitute for Metrics is Better Metrics >>>>>>> >> (2014) >>>>>>> and >>>>>>> On Metrics and Metaphysics >>>>>>> >> (2008) >>> >>> > From anupdas2072 at GMAIL.COM Mon Dec 22 08:43:57 2014 From: anupdas2072 at GMAIL.COM (anup kumar das) Date: Mon, 22 Dec 2014 19:13:57 +0530 Subject: UNESCO launches Open Access Curricula for Researchers and Librarians Message-ID: [Apologies for cross-posting] *UNESCO launches Open Access Curricula for Researchers and Librarians* 19.12.2014 - Communication & Information Sector Within the overall framework of UNESCO Strategy on Open Access to scientific information and research and to take forward UNESCO?s leadership role in diffusing knowledge amongst its Member States, UNESCO has developed a set of manuals to facilitate capacity building of library and information professionals and researchers. The development of the modules has been undertaken very carefully and the development process covered diverse opinion in the subject area, and in consultation with more than 50 experts to include diversity and expertise from the developing south. The OA curricula developed by UNESCO includes a set of customized modules which can be easily be fitted with the educational needs of different OA stakeholders and can be integrated with any sensitization programmes of OA. The curricula for Library and Information Science Professionals entitled ?Open Access for Library Schools?, consists of four course modules. An Introductory Module aims at sensitizing the library community about the history, evolution, forms and impact of OA within the domain of scholarly communication environment and covers issues related to rights management, IPR and advocacy. The remaining three modules cover subject areas of OA Infrastructure, Resource Optimization and Interoperability and Retrieval. These sections give insights into the features, types, maintenance and standardization of OA resources, information retrieval/storage software and highlight the role of the new dimension of web-enabled resources such as e-journals, e-repositories and ICTSs. The curricula for researchers entitled "Open Access for Researchers" addresses OA issues within the community of research scholars. The modules cover the subject areas of Scholarly Communications, Concepts of Openness and Open Access, Intellectual Property Rights and Research Evaluation Metrics. The first four modules have been developed to nurture researchers with an elaborate understanding of the genesis, objectives, processes, types and existing limitations of OA scholarly communication, which include insights into the issues related to IPR, the methods and limitations of the process of peer reviewing and the concepts and roles of E-journals, databases, ICTs, OSS and other OERs. The final and fifth Module entitled ?Sharing your Work in Open Access? provides a step-wise guideline for researchers about the process and options available for publishing their research work. These curricula were developed after undertaking two detailed capacity building need assessment studies of librarians and researchers on Open Access. A multi-stakeholder expert meeting was organized in New Delhi, where 23 experts participated to finalize the curriculum. Two online consultations were also held to substantiate the expert meeting, which helped UNESCO to outline the content for each of the curriculum and provided a framework to develop modules. The curricula were developed with the help of Commonwealth Educational Media Centre for Asia (CEMCA), New Delhi of the Commonwealth of Learning (COL). The curricula will soon be available for download. Currently, copies can be requested by writing to UNESCO?s OA programme . Source: www.unesco.org/new/en/communication-and-information/resources/news-and-in-focus-articles/all-news/news/unesco_launches_open_access_curricula_for_researchers_and_librarians/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From gingras.yves at UQAM.CA Mon Dec 22 10:24:00 2014 From: gingras.yves at UQAM.CA (Yves Gingras) Date: Mon, 22 Dec 2014 10:24:00 -0500 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: <50560.10.5.82.253.1419036018.squirrel@mail.annauniv.edu> Message-ID: Le 19/12/14 19:40, ??Gopal T V?? a ?crit?: > If a paper in "X" language is translated into "Y" language by a translator > [author(s) are only acknowledged], what will be the difference in the > rankings of these versions ? We have given an answer to that question in the following paper: Larivi?re , Vincent et Yves? Gingras, ? The impact factor's Matthew effect: a natural experiment in bibliometrics ?.?Journal of the American Society for Information Science and Technology, vol. 61, no 2, 2010, pp.424-427. The pdf is here: http://www.chss.uqam.ca/Portals/0/docs/articles/MathhewsEffect.pdf Yves Gingras Professeur D?partement d'histoire Centre interuniversitaire de recherche sur la science et la technologie (CIRST) Chaire de recherche du Canada en histoire et sociologie des sciences Observatoire des sciences et des technologies (OST) UQAM C.P. 8888, Succ. Centre-Ville Montr?al, Qu?bec Canada, H3C 3P8 Tel: (514)-987-3000-7053 Fax: (514)-987-7726 http://www.chss.uqam.ca http://www.cirst.uqam.ca http://www.ost.uqam.ca From gopal at ANNAUNIV.EDU Tue Dec 23 05:45:43 2014 From: gopal at ANNAUNIV.EDU (Gopal T V) Date: Tue, 23 Dec 2014 16:15:43 +0530 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: Message-ID: Dear Prof. Yves Gingras, Many thanks. I liked the paper. The gospel of St. Mathews is indeed useful. I note that you have chosen the definition of duplicate papers given by Lariviere and Gingras. I will read it again more carefully as it also points at a caveat in the peer - review process and has ethical dimensions. Any idea as to "Why" do researchers publish duplicate papers in low - impact factor journals as well within a span of an year or two ? Also, how are duplicate paper pairs in [English, Non-English Language] journals factored ? [This is the rephrased question that I have asked in my earlier mail]. Your thoughts... Warmest Regards Gopal T V 0 98401 21302 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Dr. T V Gopal Professor Department of Computer Science and Engineering College of Engineering Anna University Chennai - 600 025, INDIA Ph : (Off) 22351723 Extn. 3340 (Res) 24454753 Home Page : http://www.annauniv.edu/staff/gopal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ On Mon, December 22, 2014 8:54 pm, Yves Gingras wrote: > Adminstrative info for SIGMETRICS (for example unsubscribe): > http://web.utk.edu/~gwhitney/sigmetrics.html > > Le 19/12/14 19:40, ??Gopal T V?? a ?crit?: > >> If a paper in "X" language is translated into "Y" language by a translator >> [author(s) are only acknowledged], what will be the difference in the rankings of these versions ? > > > We have given an answer to that question in the following paper: > > Larivi?re , Vincent et Yves? Gingras, ? The impact factor's Matthew effect: > a natural experiment in bibliometrics ?.?Journal of the American Society for > Information Science and Technology, vol. 61, no 2, 2010, pp.424-427. > > The pdf is here: > > http://www.chss.uqam.ca/Portals/0/docs/articles/MathhewsEffect.pdf > > > Yves Gingras > > Professeur > D?partement d'histoire > Centre interuniversitaire de recherche > sur la science et la technologie (CIRST) > Chaire de recherche du Canada en histoire > et sociologie des sciences > Observatoire des sciences et des technologies (OST) > UQAM > C.P. 8888, Succ. Centre-Ville > Montr?al, Qu?bec > Canada, H3C 3P8 > > Tel: (514)-987-3000-7053 > Fax: (514)-987-7726 > > http://www.chss.uqam.ca > http://www.cirst.uqam.ca > http://www.ost.uqam.ca > From katy at INDIANA.EDU Wed Dec 24 08:53:02 2014 From: katy at INDIANA.EDU (Katy Borner) Date: Wed, 24 Dec 2014 08:53:02 -0500 Subject: Information Visualization MOOC at IU open for registration In-Reply-To: <5464F41A.3000903@indiana.edu> Message-ID: Dear all, We are excited to announce that the Information Visualization MOOC (IVMOOC) is now open for registration at http://ivmooc.cns.iu.edu . The course will start on January 13, 2015. Students will learn the theoretical and technical skills needed to create insightful information visualizations and they will work with real-world clients and data as a team. The evolving Spring 2015 list of clients and projects is here . Results of the 2013 client projects from the /Visual Insights/ textbook are here . Each unit of the course corresponds to a chapter in the /Visual Insights:////A Practical Guide to Making Sense of Data /textbook (http://cns.iu.edu/ivmoocbook14.html). Additionally, Part 2 of the /Atlas of Knowledge: Anyone Can Map/ (http://scimaps.org/atlas2) is available for free to facilitate understanding of the material. Happy Holidays to you and your families, Michael Ginda and Katy B?rner -- Katy Borner Victor H. Yngve Professor of Information Science Director, CI for Network Science Center, http://cns.iu.edu Curator, Mapping Science exhibit, http://scimaps.org ILS, School of Informatics and Computing, Indiana University Wells Library 021, 1320 E. Tenth Street, Bloomington, IN 47405, USA Phone: (812) 855-3256 Fax: -6166 -------------- next part -------------- An HTML attachment was scrubbed... URL: From eugene.garfield at THOMSONREUTERS.COM Thu Dec 25 16:23:30 2014 From: eugene.garfield at THOMSONREUTERS.COM (Eugene Garfield) Date: Thu, 25 Dec 2014 21:23:30 +0000 Subject: Papers of possible interest to readers of the SIG-Metrics List December 25, 2014 Message-ID: Subject: Papers of interest to readers of the SIG-Metrics List Title: An approach to rank reviews by fusing and mining opinions based on review pertinence Authors: Wang, JZ; Yan, Z; Yang, LT; Huang, BX Author Full Names: Wang, Jun-ze; Yan, Zheng; Yang, Laurence T.; Huang, Ben-xiong Source: INFORMATION FUSION, 23 3-15; 10.1016/j.inffus.2014.04.002 MAY 2015 Language: English Document Type: Review Author Keywords: Review pertinence, Review spam, Retrieval model, Opinion fusion, Opinion mining Abstract: Fusing and mining opinions from reviews posted in webs or social networks is becoming a popular research topic in recent years in order to analyze public opinions on a specific topic or product. Existing research has been focused on extraction, classification and summarization of opinions from reviews in news websites, forums and blogs. An important issue that has not been well studied is the degree of relevance between a review and its corresponding article. Prior work simply divides reviews into two classes: spam and non-spam, neglecting that the non-spam reviews could have different degrees of relevance to the article. In this paper, we propose a notion of "Review Pertinence" to study the degree of this relevance. Unlike usual methods, we measure the pertinence of review by considering not only the similarity between a review and its corresponding article, but also the correlation among reviews. Experiment results based on real data sets collected from a number of popular portal sites show the obvious effectiveness of our method in ranking reviews based on their pertinence, compared with three baseline methods. Thus, our method can be applied to efficiently retrieve reviews for opinion fusion and mining and filter review spam in practice. (C) 2014 Elsevier B.V. All rights reserved. Addresses: [Wang, Jun-ze; Huang, Ben-xiong] Huazhong Univ Sci & Technol, Nontradit Secur Ctr, Wuhan, Peoples R China. [Yan, Zheng] Xidian Univ, State Key Lab ISN, Xian, Peoples R China. [Yan, Zheng] Aalto Univ, Dept Comnet, Espoo, Finland. [Yang, Laurence T.] Huazhong Univ Sci & Technol, Sch Comp Sci, Wuhan, Peoples R China. [Yang, Laurence T.] St Francis Xavier Univ, Dept Comp Sci, Antigonish, NS, Canada. E-mail Addresses: wangjunze at mail.hust.edu.cn Funding Acknowledgement: Chinese Educational Ministry [JY0300130104, JY0600132901]; Shaanxi Province [680F1303]; fundamental research funds for the Central Universities of China [2013WQ035] Funding Text: This work is sponsored by the PhD grant (JY0300130104) of Chinese Educational Ministry, the initial grant of Chinese Educational Ministry for researchers from abroad (JY0600132901), the grant of Shaanxi Province for excellent researchers from abroad (680F1303), and the fundamental research funds for the Central Universities of China (2013WQ035). Cited Reference Count: 42 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1566-2535 eISSN: 1872-6305 Web of Science Categories: Computer Science, Artificial Intelligence; Computer Science, Theory & Methods Research Areas: Computer Science IDS Number: AT8KD Unique ID: WOS:000345181400002 Cited References: Lu Y., 2009, Proceedings of the 18th International Conference on World Wide Web, P131 Jindal Nitin, 2007, ICDM 2007: PROCEEDINGS OF THE SEVENTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING7th IEEE International Conference on Data Mining, OCT 28-31, 2007, Omaha, NE, P547 Qun L, 2002, Computational Linguistics and Chinese Language processing, V7, P59 Wei W., 2010, Proceedings of the 48th Annual Meeting of the Association for, Computational Linguistics, P404 Sheng Zhengguo, 2013, IEEE WIRELESS COMMUNICATIONS, V20, P91 Cui H., 2006, Proceedings of the 21st National Conference on Artificial Intelligence, P1265 Page L., 1999, The pagerank citation ranking: bringing order to the web, Kim Soo-Min, 2004, Proceedings of the 20th International Conference on Computational Linguistics, P1367 Leung Cane Wing-ki, 2011, WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, V14, P187 Zhang Z., 2006, Proceedings of the Conference on Information and Knowledge Management, P51 Dave K., 2003, Proc. of the 12th International Conference on World Wide Web, P519 Manning C.D., 1999, Foundations of Statistical Natural Language Processing, Kazutaka S., 2010, Proceedings of the 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, P183 Choi Y., 2006, Proceedings of Empirical Methods in Natural Language Processing, P431 Jindal N., 2007, Proceedings of the 16th International Conference on the, World Wide Web, P1189 Ganesan K., 2010, Proceedings of the 23rd International Conference on Computational Linguistics, P340 Guan Y., 2002, Proceedings of the International Conference on Machine Learning and Cybernetics, P234 Neuman Y., 2012, Inf. Fusion, V14, P281 Sankaralingam K., 2003, Proceedings 12th IEEE International Symposium on High Performance Distributed ComputingProceedings 12th IEEE International Symposium on High Performance Distributed Computing, 22-24 June 2003, Seattle, WA, USA, Canright G., Technical Report, Siersdorfer S., 2010, Proceedings of the 19th International Conference on World Wide Web, P891 Hu M., 2004, Proceedings of the 10th International Conference on Knowledge Discovery and Data Mining, P168 Wang H., 2010, Proceedings of the 16th International Conference on Knowledge Discovery and Data Mining, P783 Turney P.D., 2002, Proceedings of the 40th Annual Meeting of the Association for, Computational Linguistics, P417 MERTON RK, 1968, SCIENCE, V159, P56 Liu Bing, 2010, HANDBOOK OF NATURAL LANGUAGE PROCESSING, SECOND EDITION, P627 McDonald R., 2007, Proceedings of the 45th Annual Meeting of the Association of, Computational Linguistics, P432 Su X., 2009, Adv. Artif. Intell., Hancock Jeffrey T., 2007, CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, VOLS 1 AND 2Conference on Human Factors in Computing Systems, APR 28-MAY 03, 2007, San Jose, CA, P449 Choi Y., 2005, Identifying sources of opinions with conditional random fields and extraction patterns, in: Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, P355 Dong Z., About hownet, Tang Huifeng, 2009, EXPERT SYSTEMS WITH APPLICATIONS, V36, P10760 Lin W.H., 2006, Proceedings of the Conference on Natural, Language Learning, P109 Mao Y., 2007, Advances in Neural Information Processing Systems, V19, P961 Pang B., 2002, V10, P79 Zhang Richong, 2012, WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, V15, P117 Potthast Martin, 2010, ADVANCES IN INFORMATION RETRIEVAL, PROCEEDINGS32nd European Conference on Information Retrieval Research, MAR 28-31, 2010, Milton Keynes, ENGLAND, V5993, P668 Kohlschuetter Christian, 2006, ADVANCES IN INFORMATION RETRIEVAL28th European Conference on Information Retrieval (ECIR 2006), APR 10, 2005-APR 12, 2006, London, ENGLAND, V3936, P241 Jindal N., 2008, Proceedings of the 1st Conference on Web Search and Data Mining, P219 Brin S, 1998, COMPUTER NETWORKS AND ISDN SYSTEMS7th International World Wide Web Conference, APR 14-18, 1998, BRISBANE, AUSTRALIA, V30, P107 Salton G., 1989, Automatic Text Processing: the Transformation, Analysis, and Retrieval of Information by Computer, Kim S.M., 2007, Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural, Language Learning, P1056 Title: Crossing the hurdle: the determinants of individual scientific performance Authors: Baccini, A; Barabesi, L; Cioni, M; Pisani, C Author Full Names: Baccini, A.; Barabesi, L.; Cioni, M.; Pisani, C. Source: SCIENTOMETRICS, 101 (3):2035-2062; 10.1007/s11192-014-1395-3 DEC 2014 Language: English Document Type: Article Author Keywords: Academic research productivity, Scientist productivity, Poisson mixture distributions, Hurdle models, Zero-Inflated models, Sichel model, Waring model, Gender productivity gap, Age effect KeyWords Plus: ZERO-INFLATED POISSON; CYCLE RESEARCH PRODUCTIVITY; COUNT DATA; ACADEMIC SCIENTISTS; GENDER-DIFFERENCES; REGRESSION-MODEL; LIFE-CYCLE; PUBLICATION PRODUCTIVITY; BINOMIAL REGRESSION; SCIENCE Abstract: An original cross-sectional dataset referring to a medium-sized Italian university is implemented in order to analyze the determinants of scientific research production at individual level. The dataset includes 942 permanent researchers of various scientific sectors for a 3-year time-span (2008-2010). Three different indicators-based on the number of publications and/or citations-are considered as response variables. The corresponding distributions are highly skewed and display an excess of zero-valued observations. In this setting, the goodness-of-fit of several Poisson mixture regression models are explored by assuming an extensive set of explanatory variables. As to the personal observable characteristics of the researchers, the results emphasize the age effect and the gender productivity gap-as previously documented by existing studies. Analogously, the analysis confirms that productivity is strongly affected by the publication and citation practices adopted in different scientific disciplines. The empirical evidence on the connection between teaching and research activities suggests that no univocal substitution or complementarity thesis can be claimed: a major teaching load does not affect the odds to be a non-active researcher and does not significantly reduce the number of publications for active researchers. In addition, new evidence emerges on the effect of researchers administrative tasks-which seem to be negatively related with researcher's productivity-and on the composition of departments. Researchers' productivity is apparently enhanced by operating in department filled with more administrative and technical staff, and it is not significantly affected by the composition of the department in terms of senior/junior researchers. Addresses: [Baccini, A.; Barabesi, L.; Cioni, M.; Pisani, C.] Univ Siena, Dept Econ & Stat, I-53100 Siena, Italy. E-mail Addresses: baccini at unisi.it; lucio.barabesi at unisi.it; martina.cioni at unisi.it; caterina.pisani at unisi.it Cited Reference Count: 72 Times Cited: 0 Publisher: SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS ISSN: 0138-9130 eISSN: 1588-2861 Web of Science Categories: Computer Science, Interdisciplinary Applications; Information Science & Library Science Research Areas: Computer Science; Information Science & Library Science IDS Number: AT7RW Unique ID: WOS:000345136000024 Cited References: Marcheselli M., 2008, COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, V37, P815 SCHUBERT A, 1984, SCIENTOMETRICS, V6, P149 DIAMOND AM, 1984, SCIENTOMETRICS, V6, P189 Iglesias Juan E., 2007, SCIENTOMETRICS, V73, P303 DAVID PA, 1994, ECONOMICS OF TECHNOLOGYInternational Research Symposium on Economics of Technology - Seeking Strategies for Research and Teaching in a Developing Field, AUG 18-22, 1991, ISL MASTRAND, SWEDEN, P65 Venables WN, 2002, Modern applied statistics with S, Stephan PE, 1996, JOURNAL OF ECONOMIC LITERATURE, V34, P1199 Kelchtermans K., 2011, Industrial and Corporate Change, V20, P295 Rodriguez-Avi J., 2009, COMPUTATIONAL STATISTICS & DATA ANALYSIS, V53, P3717 Fox Mary Frank, 2011, SOCIAL STUDIES OF SCIENCE, V41, P715 MERTON RK, 1968, SCIENCE, V159, P56 Taylor SW, 2006, SOUTHERN ECONOMIC JOURNAL, V72, P846 SIBUYA M, 1979, ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, V31, P373 Fox MF, 2005, SOCIAL STUDIES OF SCIENCE, V35, P131 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Mairesse J., 2013, AFSE Meeting, 26 June, 2013, Aix en Provence, Burrell QL, 2005, SCIENTOMETRICS, V64, P247 Kossi Y., 2013, GATE WP 1315, Zhang Xiongqing, 2012, FOREST ECOLOGY AND MANAGEMENT, V270, P209 FOX MF, 1992, SOCIOLOGY OF EDUCATION, V65, P293 Defazio Daniela, 2009, RESEARCH POLICY, V38, P293 Leahey Erin, 2006, GENDER & SOCIETY, V20, P754 Wallner B, 2003, SCIENTOMETRICS, V58, P143 ALLISON PD, 1990, AMERICAN SOCIOLOGICAL REVIEW, V55, P469 Mairesse Jacques, 2006, NEW FRONTIERS IN THE ECONOMICS OF INNOVATION AND NEW TECHNOLOGY: ESSAYS IN HONOUR OF PAUL A. 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E., 2006, JOURNAL OF BIOPHARMACEUTICAL STATISTICS, V16, P463 [X] =================================================================================== Title: Social capital in academia Authors: Gonzalez-Brambila, C Author Full Names: Gonzalez-Brambila, Claudia N. Source: SCIENTOMETRICS, 101 (3):1609-1625; 10.1007/s11192-014-1424-2 DEC 2014 Language: English Document Type: Article Author Keywords: Social capital, Academia, Scientific productivity, Areas of knowledge, Mexico KeyWords Plus: SCIENTIFIC COLLABORATION; KNOWLEDGE CREATION; STRUCTURAL HOLES; RESEARCH OUTPUT; IMPACT; NETWORKS; PRODUCTIVITY; UNIVERSITIES; STRENGTH; CITATION Abstract: This paper provides useful insights for the design of networks that promote research productivity. The results suggest that the different dimensions of social capital affect scientific performance differently depending on the area of knowledge. Overall, dense networks negatively affect the creation of new knowledge. In addition, the analysis shows that a division of labor in academia, in the sense of interdisciplinary research, increases the productivity of researchers. It is also found that the position in a network is critical. Researchers who are central tend to create more knowledge. Finally, the findings suggest that the number of ties have a positive impact on future productivity. Related to areas of knowledge, Exact Sciences is the area in which social capital has a stronger impact on research performance. On the other side, Social and Humanities, as well as Engineering, are the ones in which social capital has a lesser effect. The differences found across multiple domains of science suggest the need to consider this heterogeneity in policy design. Addresses: ITAM, Mexico City, DF, Mexico. E-mail Addresses: cgonzalez at itam.mx Funding Acknowledgement: InstitutoTecnologico Autonomo de Mexico (ITAM); Asociacion Mexicana de Cultura AC Funding Text: The author would like to thank the InstitutoTecnologico Autonomo de Mexico (ITAM) and the Asociacion Mexicana de Cultura AC for their support of this work. Cited Reference Count: 44 Times Cited: 0 Publisher: SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS ISSN: 0138-9130 eISSN: 1588-2861 Web of Science Categories: Computer Science, Interdisciplinary Applications; Information Science & Library Science Research Areas: Computer Science; Information Science & Library Science IDS Number: AT7RW Unique ID: WOS:000345136000003 Cited References: Stephan PE, 1996, JOURNAL OF ECONOMIC LITERATURE, V34, P1199 Melin G, 1999, SCIENTOMETRICS, V46, P161 Burt RS, 2004, AMERICAN JOURNAL OF SOCIOLOGY, V110, P349 Melin G, 1996, SCIENTOMETRICS, V36, P363 Dasgupta P., 2005, The Economic Record, V81, Ps1 Wooldridge JM, 2002, Econometric analysis of cross section and panel data, Gonzalez-Brambila Claudia, 2007, RESEARCH POLICY, V36, P1035 Rotolo Daniele, 2013, JOURNAL OF ORGANIZATIONAL BEHAVIOR, V34, P648 Etzkowitz H., 1997, Universities and the global knowledge economy: A triple helix of university-industry-government relations, Freeman C., 1982, The economics of industrial innovation, Burt R. S., 2001, Social capital: Theory and research, Ahuja G, 2000, ADMINISTRATIVE SCIENCE QUARTERLY, V45, P425 Pasterkamp Gerard, 2007, SCIENTOMETRICS, V70, P153 Inkpen AC, 2005, ACADEMY OF MANAGEMENT REVIEW, V30, P146 Adams J, 1998, NATURE, V396, P615 Gonzalez-Brambila Claudia N., 2013, RESEARCH POLICY, V42, P1555 Coleman J. S., 1988, Am. J. Sociol., V94, P95 MERTON RK, 1968, SCIENCE, V159, P56 NONAKA I, 1994, ORGANIZATION SCIENCE, V5, P14 Stephan P., 1997, Revue d'Economie Industrielle, V79, P45 Singh J., 2007, External collaboration, social networks and knowledge creation: Evidence from scientific publications, HAUSMAN J, 1984, ECONOMETRICA, V52, P909 Barnett, 1988, The Review of Economics and Statistics, V70, P539 Burt R. 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Source: MANAGEMENT SCIENCE, 60 (11):2619-2644; 10.1287/mnsc.2014.1967 NOV 2014 Language: English Document Type: Article Author Keywords: status, bias, organizational studies, decision making KeyWords Plus: RANKINGS; GENDER; DISCRIMINATION; REPUTATION; EXCHANGE; BEHAVIOR; MARKET; MODEL Abstract: This paper tests the assumption that evaluators are biased to positively evaluate high-status individuals, irrespective of quality. Using unique data from Major League Baseball umpires' evaluation of pitch quality, which allow us to observe the difference in a pitch's objective quality and in its perceived quality as judged by the umpire, we show that umpires are more likely to overrecognize quality by expanding the strike zone, and less likely to underrecognize quality by missing pitches in the strike zone for high-status pitchers. Ambiguity and the pitcher's reputation as a "control pitcher" moderate the effect of status on umpire judgment. Furthermore, we show that umpire errors resulting from status bias lead to actual performance differences for the pitcher and team. Addresses: [Kim, Jerry W.] Columbia Univ, Grad Sch Business, New York, NY 10027 USA. [King, Brayden G.] Northwestern Univ, Kellogg Sch Management, Evanston, IL 60208 USA. E-mail Addresses: jwk2108 at columbia.edu; b-king at kellogg.northwestern.edu Cited Reference Count: 70 Times Cited: 0 Publisher: INFORMS, 5521 RESEARCH PARK DR, SUITE 200, CATONSVILLE, MD 21228 USA ISSN: 0025-1909 eISSN: 1526-5501 Web of Science Categories: Management; Operations Research & Management Science Research Areas: Business & Economics; Operations Research & Management Science IDS Number: AT7MX Unique ID: WOS:000345122700001 Cited References: MERTON RK, 1968, SCIENCE, V159, P56 PODOLNY JM, 1993, AMERICAN JOURNAL OF SOCIOLOGY, V98, P829 Anderson Cameron, 2012, JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY, V102, P1077 Tango TM, 2006, Hardball Times, Correll Shelley J., 2007, AMERICAN JOURNAL OF SOCIOLOGY, V112, P1297 Shah Anuj K., 2008, PSYCHOLOGICAL BULLETIN, V134, P207 Rossman Gabriel, 2010, AMERICAN SOCIOLOGICAL REVIEW, V75, P31 Adut A, 2005, AMERICAN JOURNAL OF SOCIOLOGY, V111, P213 Berger J., 1977, Status characteristics and social interaction, SCHWARTZ B, 1977, SOCIAL FORCES, V55, P641 Benjamin BA, 1999, ADMINISTRATIVE SCIENCE QUARTERLY, V44, P563 BERGER J, 1972, AMERICAN SOCIOLOGICAL REVIEW, V37, P241 Plessner H, 2005, The Routines of Decision Making, P327 Mills BM, 2014, Managerial Decision Econom, V35, P387 Waguespack David M., 2011, ORGANIZATION SCIENCE, V22, P541 Willer Robb, 2009, AMERICAN SOCIOLOGICAL REVIEW, V74, P23 Gilovich T, 2002, Heuristics and Biases: The Psychology of Intuitive Judgment, P1 Price Joseph, 2010, QUARTERLY JOURNAL OF ECONOMICS, V125, P1859 RIDGEWAY C, 1991, SOCIAL FORCES, V70, P367 Webster M, 1998, AMERICAN SOCIOLOGICAL REVIEW, V63, P351 Ridgeway CL, 2011, Framed by Gender: How Gender Inequality Persists in the Modern World: How Gender Inequality Persists in the Modern World, Frank RH, 1995, The Winner Take All Society: How More and More Americans Compete for Ever Fewer and Bigger Prizes, Encouraging Economic Waste, Income Inequality, and an Impoverished Cultural Life, Fine GA, 2001, Difficult Reputations: Collective Memories of the Evil, Inept, and Controversial, Stern Ithai, 2014, STRATEGIC MANAGEMENT JOURNAL, V35, P512 Gibson B, 2009, Sixty Feet, Six Inches: A Hall of Fame Pitcher and a Hall of Fame Hitter Talk About How the Game Is Played, Stuart TE, 1999, ADMINISTRATIVE SCIENCE QUARTERLY, V44, P315 Correll SJ, 2012, Working paper, Ridgeway Cecilia L., 2006, SOCIAL FORCES, V85, P431 Azoulay Pierre, 2014, MANAGEMENT SCIENCE, V60, P92 Bothner Matthew S., 2011, MANAGEMENT SCIENCE, V57, P439 Sauder M, 2006, LAW & SOCIETY REVIEW, V40, P105 Rainey DW, 1989, J. 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J. Sociol., V118, P1 Podolny JM, 1996, Indust. Corporate Change, V5, P453 Title: Characterizing the Evolution of Social Computing Research Authors: Wang, T; Liu, Z; Xiu, BX; Mo, H; Zhang, QP Author Full Names: Wang, Tao; Liu, Zhong; Xiu, Baoxin; Mo, Hong; Zhang, Qingpeng Source: IEEE INTELLIGENT SYSTEMS, 29 (5):48-56; SEP-OCT 2014 Language: English Document Type: Article KeyWords Plus: CO-WORD ANALYSIS; NETWORKS; SCIENCE; COCITATION; DYNAMICS; SYSTEMS Addresses: [Wang, Tao] Natl Univ Def Technol, Coll Informat Syst & Management, Changsha, Hunan, Peoples R China. [Liu, Zhong] Natl Univ Def Technol, Changsha, Hunan, Peoples R China. [Xiu, Baoxin] Natl Univ Def Technol, Informat Syst Engn Lab, Changsha, Hunan, Peoples R China. [Mo, Hong] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha, Hunan, Peoples R China. [Zhang, Qingpeng] City Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China. E-mail Addresses: wangtao at nudt.edu.cn; liuzhong at nudt.edu.cn; baoxinxiu at 163.com; mohong72 at gmail.com; qingpeng.zhang at cityu.edu.hk Funding Acknowledgement: Hunan Provincial Innovation Foundation; National Natural Science Foundation of China [70771109, 61074903] Funding Text: We thank Fei-Yue Wang and Xiaolong Zheng for their guidance and advice in this research. This work is supported in part by Hunan Provincial Innovation Foundation for Postgraduate, and by the National Natural Science Foundation of China under grants 70771109 and 61074903. Cited Reference Count: 24 Times Cited: 0 Publisher: IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA ISSN: 1541-1672 eISSN: 1941-1294 Web of Science Categories: Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic Research Areas: Computer Science; Engineering IDS Number: AT7AM Unique ID: WOS:000345088300007 Cited References: Cutillo Leucio Antonio, 2009, IEEE COMMUNICATIONS MAGAZINE, V47, P94 Watts DJ, 1998, NATURE, V393, P440 White HD, 1998, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V49, P327 TIJSSEN RJW, 1995, SCIENTOMETRICS, V33, P93 Redner S, 1998, EUROPEAN PHYSICAL JOURNAL B, V4, P131 SMALL H, 1973, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V24, P265 Ahlqvist T., 2008, Social Media Roadmaps: Exploring the Futures Triggered by Social Media, Fei-Yue Wang, 2010, Computer, V43, CALLON M, 1983, SOCIAL SCIENCE INFORMATION SUR LES SCIENCES SOCIALES, V22, P191 Bankes S, 2002, SOCIAL SCIENCE COMPUTER REVIEW, V20, P377 Zhang Qingpeng, 2010, IEEE INTELLIGENT SYSTEMS, V25, P67 Garfield E, 2004, JOURNAL OF INFORMATION SCIENCEColloquium on Mapping Knowledge Domains, MAY 09-11, 2003, Irvine, CA, V30, P119 Armando Ronda-Pupo Guillermo, 2012, STRATEGIC MANAGEMENT JOURNAL, V33, P162 Wang Fei-Yue, 2007, IEEE INTELLIGENT SYSTEMS, V22, P79 Zhong Liu, 2011, IEEE Intelligent Systems, V26, LAW J, 1992, SCIENTOMETRICS, V23, P417 Savage N., 2011, Comm. ACM, V54, P18 Havre S, 2002, IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, V8, P9 Fei-Yue W., 2011, J. Univ. Shanghai for Science and Technology, V1, Dong J., 2007, BMC Syst. Biol., V1, P1 Shibata Naoki, 2008, TECHNOVATION, V28, P758 Lazer David, 2009, SCIENCE, V323, P721 WANG XG, 2007, P INT C WIR COMM NET, P3717 HANSEN HR, 1995, INFORMATION & MANAGEMENT, V28, P125 [X] Title: Bibliometrics and Libraries - a promising Liaison Authors: Gumpenberger, C; Wieland, M; Gorraiz, J Author Full Names: Gumpenberger, Christian; Wieland, Martin; Gorraiz, Juan Source: ZEITSCHRIFT FUR BIBLIOTHEKSWESEN UND BIBLIOGRAPHIE, 61 (4-5):247-250; JUL-OCT 2014 Language: German Document Type: Article Addresses: [Gumpenberger, Christian; Wieland, Martin; Gorraiz, Juan] Univ Vienna, Team Bibliometrie, A-1090 Vienna, Austria. E-mail Addresses: christian.gumpenberger at univie.ac.at; martin.wieland at univie.ac.at; juan.gorraiz at univie.ac.at Cited Reference Count: 13 Times Cited: 0 Publisher: VITTORIO KLOSTERMANN GMBH, POSTFACH 90 06 01, D-60446 FRANKFURT-AM-MAIN, GERMANY ISSN: 0044-2380 eISSN: 1864-2950 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AT8QF Unique ID: WOS:000345196600013 Cited References: Corrall Sheila, 2013, LIBRARY TRENDS, V61, P636 MacColl John, 2010, LIBER Quarterly, V20, P152 de Bellis Nicola, 2009, Bibliometrics and citation analysis: from the Science citation index to cybermetrics, Astrom Fredrik, 2012, Journal of Librarianship and Information Science, V45, P316 Gorraiz Juan, 1992, Biblos, V41, P193 Cole Francis J., 1917, Science Progress, P578 Gorraiz Juan, 2009, Gorraiz, Juan und Wieland, Martin: Bibliometrie-eine neue Herausforderung fur die Bibliotheken. 30. Osterreichischer Bibliothekartag: The next Generation, Das Angebot der Bibliotheken, Gumpenberger C., 2012, Library Management, V33, Ball Rafael, 2014, Bibliometrie-Einfach, Verstandlich Nachvollziehbar, Haest Felix, 2010, WissKom (2010), Julich 8-10, Gross P L, 1927, Science (New York, N.Y.), V66, P385 Gerritsma Wouters, 2010, 11th Int. Conference on Science and Technology Indicators, Leiden, V98, Ball Rafael, 2004, B.I.T. online, V7, P271 [X] Title: Getting Credit for What You Write? Conventions and Techniques of Citation in German Anthropology Authors: Calkins, S; Rottenburg, R Author Full Names: Calkins, Sandra; Rottenburg, Richard Source: ZEITSCHRIFT FUR ETHNOLOGIE, 139 (1):99-129; SI 2014 Language: English Document Type: Article Author Keywords: Citations, Originality, Conventions, Science and Technology Studies KeyWords Plus: GEOGRAPHY Abstract: Contemporary citing practices do something significant to developments in the sciences and the humanities: they create giants by attributing a scarce academic good - namely originality - to certain authors, while ignoring others. Originality is not a straightforward qualification of a contribution and its impact on academic disputes. Rather it is something that is made and stabilized through citation practices. We contend that the criteria by which authors select from an ocean of possible sources relate to structuring principles that organize the scientific field and various understandings of "what is" a proper publication and "what counts" in publishing scholarly work. The assertion is that these understandings can be identified as conventions of citation, which inform writing and citing practices. Thus far, this seems to be nothing particularly new. However, we bring existing arguments and approaches together to (1) make a first step towards a novel approach to citation analysis and (2) explore several conventions and techniques of citation in German-speaking anthropology after 1965. We show that some citing techniques have solidified more than others and contribute to aporetic debates about German anthropology's parochialism. Addresses: [Calkins, Sandra] Max Planck Inst Social Anthropol, D-06114 Halle, Germany. [Rottenburg, Richard] Univ Halle, Inst Social & Cultural Anthropol, D-06114 Halle, Germany. Cited Reference Count: 72 Times Cited: 0 Publisher: DIETRICH REIMER VERLAG, NEUE GRUENSTR 17, 10179 BERLIN, GERMANY ISSN: 0044-2666 Web of Science Categories: Anthropology Research Areas: Anthropology IDS Number: AT8NY Unique ID: WOS:000345190900007 Cited References: Oberdiek Ulrich, 2013, Hierarchie und Gehorsam im Fach Ethnologie. Mr Einfluss auf die Theorieproduktion in Deutschland seit 1950, Fischer Hans, 2003, Randfiguren der Ethnologie. Gelehrte und Amateure, Schwindler und Phantasten, Klein Naomi, 2000, No Logo: Taking Aim at the Brand Bullies, Deleuze Gilles, 1987, A Thousand Plateaus: Capitalism and Schizophrenia, Malmann Wilhelm E., 1972, Ergiffinheit und Besessenheit, P69 Appadurai A., 1996, Modernity at Large: Cultural Dimensions of Globalization, Streck Bernhard, 2006, Subjekte und Systeme. Soziologische und anthropologische Annaherungen. Festschrift fur Christian Sigrist zum 65. 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Weiblicber Schamanismus und Dichtung, [X] Title: Theory of value co-creation: a systematic literature review Authors: Galvagno, M; Dalli, D Author Full Names: Galvagno, Marco; Dalli, Daniele Source: MANAGING SERVICE QUALITY, 24 (6):643-683; SI 10.1108/MSQ-09-2013-0187 2014 Language: English Document Type: Review Author Keywords: Value, Co-creation, Service science, Co-citation analysis, Customer participation, Service dominant logic KeyWords Plus: SERVICE-DOMINANT LOGIC; AUTHOR COCITATION ANALYSIS; VIRTUAL CUSTOMER ENVIRONMENTS; INTELLECTUAL STRUCTURE; RESEARCH DIRECTIONS; MANUFACTURING-INDUSTRY; CONSUMER RESEARCH; MANAGEMENT FIELD; VALUE CAPTURE; INNOVATION Abstract: Purpose - The purpose of this paper is to summarize and classify extant research and to better understand the past, present, and future state of the theory of value co-creation. Its main objectives are: to identify the different theoretical perspectives and research streams that characterize and define the co-creation literature, and to highlight the connections between them; to look for emerging trends and gaps in the literature by comparing the most recent papers with those representing the field's core. Design/methodology/approach - The paper relies on bibliometric data: co-citation techniques were employed to select, analyze, and interpret citation patterns within the co-creation literature. Findings - The paper identified two main clusters, as well as specific research streams and common themes, representing scholarly journals' publications on co-creation over the past years. These research streams and themes apply three different theoretical perspectives: service science, innovation and technology management, and marketing and consumer research. Data from the most recent publications has been used to verify if and how the original streams and themes are reflected in the contemporary debate. Research limitations/implications - Inevitably, the findings of the analysis have limitations related to the research design, the databases, and the applied bibliometric methods. Practical implications - From a practical perspective, the research impacts on theory building, management decision making, and teaching. Originality/value - This study depicts the remarkable development of the literature on co-creation and shows the latent structure underlying its different research streams. To the best knowledge, this study is the first to determine co-citation frequencies from both the SSCI and Scopus databases. Addresses: [Galvagno, Marco] Univ Catania, Dept Econ & Business, Catania, Italy. [Dalli, Daniele] Univ Pisa, Dept Econ & Management, Pisa, Italy. 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We employ a manual human-coding approach to classify book reviews in the field of history based on reviewers' assessments of a book author's scholarly credibility (SC) and writing style (WS). In total, 100 book reviews were selected from the American Historical Review and coded for their positive/negative valence on these two dimensions. Most were coded as positive (68% for SC and 47% for WS), and there was also a small positive correlation between SC and WS (r=0.2). We then constructed a classifier, combining both manual design and machine learning, to categorize sentiment-based sentences in history book reviews. The machine classifier produced a matched accuracy (matched to the human coding) of approximately 75% for SC and 64% for WS. WS was found to be more difficult to classify by machine than SC because of the reviewers' use of more subtle language. With further training data, a machine-learning approach could be useful for automatically classifying a large number of history book reviews at once. Weighted megacitations can be especially valuable if they are used in conjunction with regular book/journal citations, and libcitations (i.e., library holding counts) for a comprehensive assessment of a book/monograph's scholarly impact. Addresses: [Zuccala, Alesia] Univ Amsterdam, Inst Log Language & Computat, Fac Humanities, NL-1090 GE Amsterdam, Netherlands. [van Someren, Maarten; van Bellen, Maurits] Univ Amsterdam, Fac Sci, Inst Informat, NL-1098 XG Amsterdam, Netherlands. E-mail Addresses: a.a.zuccala at uva.nl; m.w.vansomeren at uva.nl; mauritsvanbellen at gmail.com Cited Reference Count: 80 Times Cited: 0 Publisher: WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA ISSN: 2330-1635 eISSN: 2330-1643 Web of Science Categories: Computer Science, Information Systems; Information Science & Library Science Research Areas: Computer Science; Information Science & Library Science IDS Number: AS4EE Unique ID: WOS:000344225200007 Cited References: Parker J. M., 1989, Collection Management, V11, P41 MORAVCSIK MJ, 1975, SOCIAL STUDIES OF SCIENCE, V5, P86 Torres-Salinas Daniel, 2009, JOURNAL OF INFORMETRICS, V3, P9 Small Henry, 2011, SCIENTOMETRICS, V87, P373 Hartley J., 2010, Journal of Technical Writing and Communication, V40, P473 COZZENS SE, 1989, SCIENTOMETRICS, V15, P437 Price D. J. 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Source: SCIENTOMETRICS, 101 (3):2035-2062; 10.1007/s11192-014-1395-3 DEC 2014 Language: English Document Type: Article Author Keywords: Academic research productivity, Scientist productivity, Poisson mixture distributions, Hurdle models, Zero-Inflated models, Sichel model, Waring model, Gender productivity gap, Age effect KeyWords Plus: ZERO-INFLATED POISSON; CYCLE RESEARCH PRODUCTIVITY; COUNT DATA; ACADEMIC SCIENTISTS; GENDER-DIFFERENCES; REGRESSION-MODEL; LIFE-CYCLE; PUBLICATION PRODUCTIVITY; BINOMIAL REGRESSION; SCIENCE Abstract: An original cross-sectional dataset referring to a medium-sized Italian university is implemented in order to analyze the determinants of scientific research production at individual level. The dataset includes 942 permanent researchers of various scientific sectors for a 3-year time-span (2008-2010). Three different indicators-based on the number of publications and/or citations-are considered as response variables. The corresponding distributions are highly skewed and display an excess of zero-valued observations. In this setting, the goodness-of-fit of several Poisson mixture regression models are explored by assuming an extensive set of explanatory variables. As to the personal observable characteristics of the researchers, the results emphasize the age effect and the gender productivity gap-as previously documented by existing studies. Analogously, the analysis confirms that productivity is strongly affected by the publication and citation practices adopted in different scientific disciplines. The empirical evidence on the connection between teaching and research activities suggests that no univocal substitution or complementarity thesis can be claimed: a major teaching load does not affect the odds to be a non-active researcher and does not significantly reduce the number of publications for active researchers. In addition, new evidence emerges on the effect of researchers administrative tasks-which seem to be negatively related with researcher's productivity-and on the composition of departments. Researchers' productivity is apparently enhanced by operating in department filled with more administrative and technical staff, and it is not significantly affected by the composition of the department in terms of senior/junior researchers. Addresses: [Baccini, A.; Barabesi, L.; Cioni, M.; Pisani, C.] Univ Siena, Dept Econ & Stat, I-53100 Siena, Italy. 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E., 2006, JOURNAL OF BIOPHARMACEUTICAL STATISTICS, V16, P463 [X] Title: Comparing scientific performance among equals Authors: Sorzano, COS; Vargas, J; Caffarena-Fernandez, G; Iriarte, A Author Full Names: Sorzano, C. O. S.; Vargas, J.; Caffarena-Fernandez, G.; Iriarte, A. Source: SCIENTOMETRICS, 101 (3):1731-1745; 10.1007/s11192-014-1368-6 DEC 2014 Language: English Document Type: Article Author Keywords: Scientific performance, Relative measurements, Control groups KeyWords Plus: H-INDEX; INDICATORS; CRITERION; FIELDS; IMPACT Abstract: Measuring scientific performance is currently a common practice of funding agencies, fellowship evaluations and hiring institutions. However, as has already been recognized by many authors, comparing the performance in different scientific fields is a difficult task due to the different publication and citation patterns observed in each field. In this article, we defend that scientific performance of an individual scientist, laboratory or institution should be analysed within the corresponding context and we provide objective tools to perform this kind of comparative analysis. The usage of the new tools is illustrated by using two control groups, to which several performance measurements are referred: one group being the Physics and Chemistry Nobel laureates from 2007 to 2012, the other group consisting of a list of outstanding scientists affiliated to two different institutions. Addresses: [Sorzano, C. O. S.; Vargas, J.] CSIC, Natl Biotechnol Ctr, Madrid 28049, Spain. [Sorzano, C. O. S.; Caffarena-Fernandez, G.; Iriarte, A.] Univ CEU San Pablo, Dept Informat & Telecommun Syst, Madrid 28668, Spain. E-mail Addresses: coss at cnb.csic.es Cited Reference Count: 21 Times Cited: 0 Publisher: SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS ISSN: 0138-9130 eISSN: 1588-2861 Web of Science Categories: Computer Science, Interdisciplinary Applications; Information Science & Library Science Research Areas: Computer Science; Information Science & Library Science IDS Number: AT7RW Unique ID: WOS:000345136000009 Cited References: Coleman B. Jay, 2012, TRANSPORTATION JOURNAL, V51, P164 KOKSALAN MM, 1995, MANAGEMENT SCIENCE, V41, P1158 Moed Henk F., 2009, ARCHIVUM IMMUNOLOGIAE ET THERAPIAE EXPERIMENTALIS, V57, P13 MOED HF, 1995, SCIENTOMETRICS, V33, P381 El Emam Khaled, 2012, JOURNAL OF MEDICAL INTERNET RESEARCH, V14, Lundberg Jonas, 2007, JOURNAL OF INFORMETRICS, V1, P145 TIDEMAN TN, 1987, SOCIAL CHOICE AND WELFARE, V4, P185 Radicchi Filippo, 2008, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V105, P17268 GEOFFRIO.AM, 1972, MANAGEMENT SCIENCE SERIES B-APPLICATION, V19, P357 Bornmann Lutz, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P830 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Podlubny I, 2005, SCIENTOMETRICS, V64, P95 Alonso S., 2009, JOURNAL OF INFORMETRICS, V3, P273 Iglesias Juan E., 2007, SCIENTOMETRICS, V73, P303 Harzing A., 2010, The publish or perish book, Panaretos John, 2009, SCIENTOMETRICS, V81, P635 Saaty T., 1988, What is the Analytic hierarchy process? Mathematical models for Decision Support, V48, P109 Imperial Juan, 2007, SCIENTOMETRICS, V71, P271 Lehmann Sune, 2008, SCIENTOMETRICS, V76, P369 Schulze M., 2003, Voting Matters, V17, P9 Glanzel W., 2006, Science Focus, V1, P10 Title: An overview of climate change vulnerability: a bibliometric analysis based on Web of Science database Authors: Wang, B; Pan, SY; Ke, RY; Wang, K; Wei, YM Author Full Names: Wang, Bing; Pan, Su-Yan; Ke, Ruo-Yu; Wang, Ke; Wei, Yi-Ming Source: NATURAL HAZARDS, 74 (3):1649-1666; 10.1007/s11069-014-1260-y DEC 2014 Language: English Document Type: Article Author Keywords: Climate change, Vulnerability, Bibliometric, Backward search KeyWords Plus: GLOBAL ENVIRONMENTAL-CHANGE; WATER-RESOURCES; SCHOLARLY NETWORKS; ADAPTIVE CAPACITY; HUMAN DIMENSIONS; COASTAL HAZARDS; SOUTHEAST-ASIA; ADAPTATION; CHINA; RESILIENCE Abstract: Based on worldwide scholars' 3,004 papers published in 658 academic journals in the Web of Science database on the topic of climate change vulnerability from 1991 to 2012, this paper quantitatively analyzes the global scientific performance and hot research areas in this field by adopting bibliometric method. The results show that (1) the vulnerability researches on climate change have experienced a rapid growth since 2006, and the publications are widely distributed in a large number of source journals, while the top two productive institutions are the University of East Anglia and Potsdam Institute for Climate Impact Research; (2) the cooperation at author level is on the rise, and there are closer relationships in institutional and national levels; (3) the most widely focused research topics in this field include health issues in the socioeconomic system, food security in the field of agricultural system and the issue of water resource management, etc.; (4) according to the papers from the top journals, we find that the research areas for climate change vulnerability in those publications are located in the ecological diversity, ecosystem service, water resource management and electric power supply, etc. Addresses: [Wang, Bing; Pan, Su-Yan; Ke, Ruo-Yu; Wang, Ke; Wei, Yi-Ming] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China. [Wang, Bing; Pan, Su-Yan; Ke, Ruo-Yu; Wang, Ke; Wei, Yi-Ming] Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China. [Wang, Bing] Univ Ottawa, Dept Civil Engn, Ottawa, ON K1N 6N5, Canada. E-mail Addresses: ymwei at 263.net Cited Reference Count: 58 Times Cited: 0 Publisher: SPRINGER, 233 SPRING ST, NEW YORK, NY 10013 USA ISSN: 0921-030X eISSN: 1573-0840 Web of Science Categories: Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences; Water Resources Research Areas: Geology; Meteorology & Atmospheric Sciences; Water Resources IDS Number: AT7DK Unique ID: WOS:000345096800019 Cited References: Reynolds James F., 2007, SCIENCE, V316, P847 Loya Y, 2001, ECOLOGY LETTERS, V4, P122 Xu Zhiwei, 2012, INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, V9, P3298 Pereira HM, 2010, Science, V330, P1696 Peduzzi P., 2012, NATURE CLIMATE CHANGE, V2, P289 Nott J, 2001, NATURE, V413, P508 Smit Barry, 2006, GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONSWorkshop on Vulnerability, Resilience and Adaptation, FEB, 2005, Tempe, AZ, V16, P282 Kelly PM, 2000, CLIMATIC CHANGE, V47, P325 Mack Michelle C., 2011, NATURE, V475, P489 LIVERMAN DM, 1990, ANNALS OF THE ASSOCIATION OF AMERICAN GEOGRAPHERS, V80, P49 van Vliet Michelle T. H., 2012, NATURE CLIMATE CHANGE, V2, P676 Folke Carl, 2006, GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONSWorkshop on Vulnerability, Resilience and Adaptation, FEB, 2005, Tempe, AZ, V16, P253 Zou Le-Le, 2009, NATURAL HAZARDS, V48, P167 Wu ShaoHong, 2007, CHINESE SCIENCE BULLETIN, V52, P1379 Vorosmarty CJ, 2000, SCIENCE, V289, P284 Oki Taikan, 2006, SCIENCE, V313, P1068 Persson OD, 2009, How to use BibExcel for various types of bibliometric analysis. Celebrating scholarly communication studies: A Festschrift for Olle Persson at his 60th birthday, P9 Dragos Cristian Mihai, 2013, SCIENCE OF THE TOTAL ENVIRONMENT, V449, P184 Tian Li Tian, 2012, BIOMEDICAL AND ENVIRONMENTAL SCIENCES, V25, P458 Adger WN, 2005, SCIENCE, V309, P1036 Jin Y. H., 2010, AGRICULTURAL WATER MANAGEMENT, V97, P326 Knops JMH, 1999, ECOLOGY LETTERS, V2, P286 Xia Jun, 2012, WATER INTERNATIONAL, V37, P523 Jing PD, 2000, J China Soc Sci Tech Inf, V19, P90 Nepstad DC, 1999, NATURE, V398, P505 Dulvy NK, 2003, FISH AND FISHERIES, V4, P25 Doak Daniel F., 2010, NATURE, V467, P959 Kiesecker JM, 2001, NATURE, V410, P681 Fuessel Hans-Martin, 2007, GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, V17, P155 Blank Lior, 2013, BUILDING AND ENVIRONMENT, V66, P23 Sallenger Asbury H., Jr., 2012, NATURE CLIMATE CHANGE, V2, P884 Schroter D, 2005, SCIENCE, V310, P1333 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Janssen Marco A., 2006, GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONSWorkshop on Vulnerability, Resilience and Adaptation, FEB, 2005, Tempe, AZ, V16, P240 Ponce-Reyes Rocio, 2012, NATURE CLIMATE CHANGE, V2, P448 Chen Yang, 2011, SCIENCE, V334, P787 Hulme M, 2001, CLIMATE RESEARCH, V17, P145 Zou Le-Le, 2010, NATURAL HAZARDS, V54, P901 Yohe G, 2002, GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, V12, P25 Janssen Marco A., 2007, ECOLOGY AND SOCIETY, V12, Wang Bing, 2014, ENERGY POLICY, V65, P701 Thomas CD, 2004, NATURE, V427, P145 Jacobsen Dean, 2012, NATURE CLIMATE CHANGE, V2, P361 Hallegatte Stephane, 2011, NATURE CLIMATE CHANGE, V1, P151 Araujo M. B., 2006, JOURNAL OF BIOGEOGRAPHYWorkshop on Generalized Regression Analyses and Spatial Predictions, AUG, 2004, Riederalp, SWITZERLAND, V33, P1712 Adger W. Neil, 2006, GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONSWorkshop on Vulnerability, Resilience and Adaptation, FEB, 2005, Tempe, AZ, V16, P268 Thuiller Wilfried, 2011, NATURE, V470, P531 IPCC, 2007, Climate change 2007: The Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Ferguson Grant, 2012, NATURE CLIMATE CHANGE, V2, P342 Yin Jie, 2012, JOURNAL OF COASTAL CONSERVATION, V16, P123 Day John W., Jr., 2007, SCIENCE, V315, P1679 Yuan XC, 2013, Mitig Adapt Strateg Glob, Choat Brendan, 2012, NATURE, V491, P752 Wei YM, 2004, ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, V24, P427 Thuiller W, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P8245 Dawson Terence P., 2011, SCIENCE, V332, P53 Li Jinfeng, 2011, GLOBAL AND PLANETARY CHANGE, V77, P13 Turner BL, 2003, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V100, P8074 [X] Title: An overview of iris recognition: a bibliometric analysis of the period 2000-2012 Authors: Alvarez-Betancourt, Y; Garcia-Silvente, M Author Full Names: Alvarez-Betancourt, Yuniol; Garcia-Silvente, Miguel Source: SCIENTOMETRICS, 101 (3):2003-2033; 10.1007/s11192-014-1336-1 DEC 2014 Language: English Document Type: Article Author Keywords: Iris biometrics, Iris recognition, Bibliometric study KeyWords Plus: BIOMETRIC RECOGNITION; CITATION; SCIENCE; SCOPUS; INFORMATION; RANKINGS; IMAGES; OUTPUT; INDEX; WEB Abstract: Person identification based on iris recognition is getting more and more attention among the modalities used for biometric recognition. This fact is due to the immutable and unique characteristics of the iris. Therefore it is of utmost importance for researchers interested in this discipline to know who and what is relevant in this area. This paper presents a comprehensive overview of the field of iris recognition research using a bibliometric approach. Besides, this article provides historical records, basic concepts, current progress and trends in the field. With this purpose in mind, our bibliometric study is based on 1,354 documents written in English, published between 2000 and 2012. Scopus was used to perform the information retrieval. In the course of this study, we synthesized significant bibliometric indicators on iris recognition research in order to evaluate to what extent this particular field has been explored. Thereby, we focus on foundations, temporal evolution, leading authors, most cited papers, significant conventions, leading journals, outstanding research topics and enterprises and patents. Research topics are classified into three main categories: ongoing, emerging, and decreasing according to their corresponding number of publications over the period under study. An analysis of these indicators suggests there has been major advances in iris recognition research and also reveals promising new avenues worthy of investigation in the future. This study will be useful to future investigators in the field. Addresses: [Alvarez-Betancourt, Yuniol] Univ Cienfuegos, Dept Comp Sci, Cienfuegos, Cuba. [Garcia-Silvente, Miguel] Univ Granada, Dept Comp Sci & Artificial Intelligence, Granada, Spain. E-mail Addresses: yalvarezb at ucf.edu.cu; m.garcia-silvente at decsai.ugr.es Funding Acknowledgement: Andalusian Regional Government [P09-TIC-04813]; Spanish Government [TIN2012-38969]; AUIP Funding Text: The authors are thankful to Dr. Dominique Lepicq and Lic. Glenda Armas Noda for their important comments on the development of this paper. Also, we want to thank the anonymous reviewers for the comments and ideas provided. This work was supported by Andalusian Regional Government project P09-TIC-04813, the Spanish Government project TIN2012-38969 and by the AUIP. Cited Reference Count: 46 Times Cited: 0 Publisher: SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS ISSN: 0138-9130 eISSN: 1588-2861 Web of Science Categories: Computer Science, Interdisciplinary Applications; Information Science & Library Science Research Areas: Computer Science; Information Science & Library Science IDS Number: AT7RW Unique ID: WOS:000345136000023 Cited References: Sempere C.M., 2011, Technical Report 43, Wildes R., 1997, Proceedings of the IEEE, Chen Rui, 2012, PATTERN RECOGNITION LETTERS, V33, P1513 Sheela S. V., 2010, International Journal of Computer Applications, V3, P0975 De Moya-Anegon Felix, 2007, SCIENTOMETRICS, V73, P53 Kohonen T., 1995, Self-organizing maps, Flom L., 1987, US Patent, P4, 641, 349 2009, Encyclopedia of biometrics, Monro Donald M., 2007, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, V29, P586 PRITCHAR.A, 1969, JOURNAL OF DOCUMENTATION, V25, P348 Rahulkar Amol D., 2012, NEUROCOMPUTING, V81, P12 Wang Haijun, 2013, SCIENTOMETRICS, V95, P35 Kalka Nathan D., 2010, IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, V40, P509 Daugman J, 2004, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, V14, P21 Pinto Maria, 2013, SCIENTOMETRICS, V95, P1071 Meho Lokman I., 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P1711 Yan Erjia, 2010, SCIENTOMETRICS, V83, P115 Burge M. J., 2013, Bornmann L., 2009, EMBO Reports, V10, P1 Bornmann Lutz, 2012, JOURNAL OF INFORMETRICS, V6, P333 Birgale L., 2010, Journal of Computer Science, V9, P1042 Sun Zhenan, 2009, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, V31, P2211 Bertillon A., 1892, Bulletin de la Societe d'anthropologie de Paris, V3, P384 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Chen Kuang-hua, 2012, SCIENTOMETRICS, V92, P89 Miyazawa Kazuyuki, 2008, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCEIEEE Conference on Computer Vision and Pattern Recognition, JUN 17-22, 2007, Minneapolis, MN, V30, P1741 Roy Kaushik, 2012, SIGNAL IMAGE AND VIDEO PROCESSING, V6, P301 Sanchez-Avila C, 2002, IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE, V17, P3 Rathgeb C., 2013, LLC: From segmentation to template security, Matey James R., 2006, PROCEEDINGS OF THE IEEE, V94, P1936 He Zhaofeng, 2009, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, V31, P1670 Proenca Hugo, 2007, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, V29, P607 Ma L, 2003, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, V25, P1519 Jin B., 2006, Science Focus, V1, P8 Daugman John, 2007, IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, V37, P1167 Bowyer Kevin W., 2008, COMPUTER VISION AND IMAGE UNDERSTANDING, V110, P281 Daugman J, 2001, INTERNATIONAL JOURNAL OF COMPUTER VISION, V45, P25 Dong Bensi, 2012, SCIENTOMETRICS, V93, P1101 Meho Lokman I., 2007, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V58, P2105 Slyder Jacob B., 2011, SCIENTOMETRICS, V89, P955 Moya-Anegon Felix, 2013, SCIENTOMETRICS, V97, P421 Shiau Wen-Lung, 2013, SCIENTOMETRICS, V94, P1317 Natale Fabrizio, 2012, SCIENTOMETRICS, V90, P983 Teixeira Aurora A. C., 2012, SCIENTOMETRICS, V93, P719 Daugman J., 1994, US Patent, P5, 291, 560 Jain AK, 2004, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, V14, P4 [X] Title: Comparison of the effect of mean-based method and z-score for field normalization of citations at the level of Web of Science subject categories Authors: Zhang, ZH; Cheng, Y; Liu, NC Author Full Names: Zhang, Zhihui; Cheng, Ying; Liu, Nian Cai Source: SCIENTOMETRICS, 101 (3):1679-1693; 10.1007/s11192-014-1294-7 DEC 2014 Language: English Document Type: Article Author Keywords: Citation distribution, Field normalization, Mean-based method, z-score, Normalization effect KeyWords Plus: RESEARCH PERFORMANCE; RELATIVE INDICATORS; CROWN INDICATOR; IMPACT; DISTRIBUTIONS; UNIVERSALITY; CHARTS Abstract: Field normalization is a necessary step in a fair cross-field comparison of citation impact. In practice, mean-based method (m-score) is the most popular method for field normalization. However, considering that mean-based method only utilizes the central tendency of citation distribution in the normalization procedure and dispersion is also a significant characteristic, an open and important issue is whether alternative normalization methods which take both central tendency and variability into account perform better than mean-based method. With the aim of collapsing citation distributions of different fields into a universal distribution, this study compares the normalization effect of m-score and z-score based on 236 Web of Science (WoS) subject categories. The results show that both m-score and z-score have remarkable normalization effect as compared with raw citations, but neither of them can realize the ideal goal of "universality of citation distributions". The results also suggest that m-score is generally preferable to z-score. The essential cause that m-score has an edge over z-score as a whole has a direct relationship with the characteristics of skewed citation distributions in which case m-score is more applicable than z-score. Addresses: [Zhang, Zhihui; Cheng, Ying; Liu, Nian Cai] Shanghai Jiao Tong Univ, Grad Sch Educ, Shanghai 200240, Peoples R China. E-mail Addresses: zhzh_gucas at foxmail.com; ycheng at sjtu.edu.cn; ncliu at sjtu.edu.cn Funding Acknowledgement: National Education Sciences Planning program [CIA110141] Funding Text: This study is supported by a grant from the National Education Sciences Planning program during the 12th Five-Year period (No. CIA110141). Cited Reference Count: 38 Times Cited: 0 Publisher: SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS ISSN: 0138-9130 eISSN: 1588-2861 Web of Science Categories: Computer Science, Interdisciplinary Applications; Information Science & Library Science Research Areas: Computer Science; Information Science & Library Science IDS Number: AT7RW Unique ID: WOS:000345136000006 Cited References: Lillquist Eva, 2010, SCIENTOMETRICS, V84, P749 Vinkler Peter, 2012, JOURNAL OF INFORMETRICS, V6, P254 Radicchi Filippo, 2008, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V105, P17268 Glaenzel Wolfgang, 2009, SCIENTOMETRICS, V78, P165 Lundberg Jonas, 2007, JOURNAL OF INFORMETRICS, V1, P145 Abramo Giovanni, 2012, JOURNAL OF INFORMETRICS, V6, P645 Opthof Tobias, 2010, JOURNAL OF INFORMETRICS, V4, P423 Garfield E., 1979, Citation indexing-Its theory and application in Science, Technology and Humanities, Waltman Ludo, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P72 Bornmann L., 2008, Ethics in Science and Enviromental Politics, V8, P93 Spaan Jos A. E., 2010, JOURNAL OF INFORMETRICS, V4, P439 Narin F., 1976, Evaluative bibliometrics: The use of publication and citation analysis in the evaluation of scientific activity, Li Yunrong, 2013, JOURNAL OF INFORMETRICS, V7, P746 Albarran Pedro, 2011, SCIENTOMETRICS, V88, P385 Crespo Juan A., 2013, PLOS ONE, V8, BRAUN T, 1990, SCIENTOMETRICS, V19, P513 Waltman Ludo, 2011, JOURNAL OF INFORMETRICS, V5, P37 De Bruin R. E., 1993, Research Evaluation, V3, P25 Radicchi Filippo, 2012, PLOS ONE, V7, Katz J. S., 1999, Bibliometric indicators and the social sciences, Katz J, 2000, Sci Public Policy, V27, P23 Moed Henk F., 2010, JOURNAL OF INFORMETRICS, V4, P436 MOED HF, 1995, SCIENTOMETRICS, V33, P381 MCALLISTER PR, 1983, IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, V30, P205 Thompson B., 1993, Annual Meeting of the Mid-South Educational Research Association, New Orleans, LA, Castellano Claudio, 2009, ARCHIVUM IMMUNOLOGIAE ET THERAPIAE EXPERIMENTALIS, V57, P85 van Raan A. F. J., 2010, Eleventh International Conference on Science and Technology Indicators, Leiden, The Netherlands, Radicchi Filippo, 2011, PHYSICAL REVIEW E, V83, Abramo Giovanni, 2012, JOURNAL OF INFORMETRICS, V6, P470 Nederhof AJ, 2006, SCIENTOMETRICS8th International Conference on Science and Technology Indicators, SEP 23-25, 2004, Leiden, NETHERLANDS, V66, P81 SEGLEN PO, 1992, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V43, P628 Lariviere Vincent, 2011, JOURNAL OF INFORMETRICS, V5, P392 van Raan Anthony F. J., 2010, JOURNAL OF INFORMETRICS, V4, P431 Schubert A, 1996, SCIENTOMETRICS, V36, P311 GARFIELD E, 1979, SCIENTOMETRICS, V1, P359 Lee Gregory John, 2010, SCIENTOMETRICS, V84, P717 SCHUBERT A, 1986, SCIENTOMETRICS, V9, P281 Bornmann Lutz, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P1664 [X] * Title: Single parameter indices and bibliometric outliers Authors: Prathap, G Author Full Names: Prathap, Gangan Source: SCIENTOMETRICS, 101 (3):1781-1787; 10.1007/s11192-013-1225-z DEC 2014 Language: English Document Type: Article Author Keywords: Scientometric distributions, Extreme values, Mean, Quantity, Consistency, Citation, h-Index, z-Index KeyWords Plus: JOURNAL IMPACT FACTOR Abstract: In this paper, we look at the issue of the high-end of research performance which is captured in the tail of a citation distribution. As the mean is insufficient to capture the skewness of such distributions, a consistency or concentration measure is the additional parameter needed. We show that the h-index is only approximately a heuristic mock of a composite indicator built from three primary indicators which are the number, mean and consistency term. The z-index is able to sense the change in consistency in the distribution due to the outliers in the tail of the distribution. Addresses: CSIR, Natl Inst Interdisciplinary Sci & Technol, Thiruvananthapuram 695019, Kerala, India. E-mail Addresses: gp at cmmacs.ernet.in Cited Reference Count: 18 Times Cited: 0 Publisher: SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS ISSN: 0138-9130 eISSN: 1588-2861 Web of Science Categories: Computer Science, Interdisciplinary Applications; Information Science & Library Science Research Areas: Computer Science; Information Science & Library Science IDS Number: AT7RW Unique ID: WOS:000345136000011 Cited References: Glanzel Wolfgang, 2013, SCIENTOMETRICS, V96, P381 Prathap Gangan, 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P214 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Glanzel W., 2013, Proceedings of ISSI 2013-The 14th International Conference on Scientometrics and Informetrics, Vienna, Austria, VI, P109 GARFIELD E, 1955, SCIENCE, V122, P108 Prathap Gangan, 2011, SCIENTOMETRICS, V88, P555 De Visscher Alex, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P2290 Prathap Gangan, 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P1076 Prathap Gangan, 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P426 Glanzel Wolfgang, 2009, SCIENTOMETRICS, V78, P355 Glanzel W., 2013, Translational Twists and Turns: Science as a Socio-Economic Endeavour, Proceedings of STI 2013 Berlin (18th International Conference on Science and Technology Indicators), P122 Glanzel Wolfgang, 2013, SCIENTOMETRICS, V97, P13 Prathap Gangan, 2010, SCIENTOMETRICS, V84, P153 Pendlebury David A., 2012, SCIENTOMETRICS, V92, P395 Garfield E, 1999, CANADIAN MEDICAL ASSOCIATION JOURNAL, V161, P979 Prathap Gangan, 2011, SCIENTOMETRICS, V87, P515 Garfield E, 2005, International Congress on Peer Review and Biomedical Publication, 16 September, Chicago, IL, Prathap Gangan, 2010, SCIENTOMETRICS, V84, P167 [X] Title: Building Buzz: (Scientists) Communicating Science in New Media Environments Authors: Liang, X; Su, LYF; Yeo, SK; Scheufele, DA; Brossard, D; Xenos, M; Nealey, P; Corley, EA Author Full Names: Liang, Xuan; Su, Leona Yi-Fan; Yeo, Sara K.; Scheufele, Dietram A.; Brossard, Dominique; Xenos, Michael; Nealey, Paul; Corley, Elizabeth A. Source: JOURNALISM & MASS COMMUNICATION QUARTERLY, 91 (4):772-791; 10.1177/1077699014550092 DEC 2014 Language: English Document Type: Article Author Keywords: media and society, communication effects, science communication, social media KeyWords Plus: H-INDEX; EMERGING TECHNOLOGIES; NEWSPAPER COVERAGE; HIRSCH-INDEX; SOCIAL MEDIA; NANOTECHNOLOGY; IMPACT; NEWS; US; PRODUCTIVITY Abstract: Public communication about science faces novel challenges, including the increasing complexity of research areas and the erosion of traditional journalistic infrastructures. Although scientists have traditionally been reluctant to engage in public communication at the expense of focusing on academic productivity, our survey of highly cited U.S. nano-scientists, paired with data on their social media use, shows that public communication, such as interactions with reporters and being mentioned on Twitter, can contribute to a scholar's scientific impact. Most importantly, being mentioned on Twitter amplifies the effect of interactions with journalists and other non-scientists on the scholar's scientific impact. Addresses: [Liang, Xuan; Su, Leona Yi-Fan; Scheufele, Dietram A.; Brossard, Dominique; Xenos, Michael] Univ Wisconsin, Madison, WI 53706 USA. [Yeo, Sara K.] Univ Utah, Salt Lake City, UT USA. [Nealey, Paul] Univ Chicago, Chicago, IL 60637 USA. [Corley, Elizabeth A.] Arizona State Univ, Phoenix, AZ USA. E-mail Addresses: scheufele at wisc.edu Cited Reference Count: 69 Times Cited: 0 Publisher: ASSOC EDUCATION JOURNALISM MASS COMMUNICATION, UNIV SOUTH CAROLINA COLLEGE OF JOURNALISM, COLUMBIA, SC 29208 USA ISSN: 1077-6990 eISSN: 2161-430X Web of Science Categories: Communication Research Areas: Communication IDS Number: AT8GA Unique ID: WOS:000345170700009 Cited References: Su Leona Yi-Fan, 2012, annual meeting for the International Public Communication of Science and Technology, April 18-20, 2012, Florence, Italy, Fausto Sibele, 2012, PLOS ONE, V7, Bourne Philip E., 2011, PLOS COMPUTATIONAL BIOLOGY, V7, Eysenbach Gunther, 2011, JOURNAL OF MEDICAL INTERNET RESEARCH, V13, Kiernan V, 2003, SCIENCE COMMUNICATION, V25, P3 Gaughan Monica, 2008, RESEARCH EVALUATION, V17, P103 Weingart Peter, 2005, Die Wissenschaft Der OffentlichkeitThe Science of Public Opinion, Parra Cristhian, 2011, annual meeting for the International Society for Scientometrics and Informetrics, July 4-7, 2011, Durban, South Africa, Shortland Michael, 1991, Ng Elaine W. 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A Scientist's Guide to Talking to the Public, van Leeuwen Thed, 2008, RESEARCH EVALUATION, V17, P157 [X] Title: A bibliometric analysis of highly cited articles in materials science Authors: Ho, YS Author Full Names: Ho, Yuh-Shan Source: CURRENT SCIENCE, 107 (9):1565-1572; NOV 10 2014 Language: English Document Type: Article Author Keywords: Article life, bibliometric analysis, structural materials, Y-index KeyWords Plus: CITATION-INDEX; CARBON-FILMS; SOLAR-CELLS; JOURNALS; IMPACT; DISLOCATIONS; PERFORMANCE; EFFICIENCY; VISCOSITY; GRAPHENE Abstract: The aim of the present study is to identify and analyse the characteristics of the highly cited articles in materials science, including eight Web of Science categories: multidisciplinary materials science, coatings and films materials science, biomaterials materials science, ceramics materials science, composites materials science, paper and wood materials science, characterization and testing materials science, and textiles materials science within the publication year from 1900 to 2011 based on Science Citation Index-Expanded. Articles that have been cited at least 100 times since publication to 2011 were assessed regarding their distribution in indexed journals. The citation lives of the highly cited articles depending on citations in the publication year, recent years and years after publication were applied for the impact of articles. A new indicator, the Y-index, was applied to assess publication quantity and the characteristics of contribution to articles. Results showed that 14,044 highly cited articles were published between 1900 and 2010. Among them, 70% were published in 1990s and 2000s, and 48% originated from the US. Langmuir and Journal of the Electrochemical Society hosted the highly cited articles. Most top cited articles in the publication year would not be top cited in recent years. Y-index results showed that Massachusetts Institute of Technology, USA had high articles publication potential as well as published the most first author and corresponding author articles. Geim and Novoselov who are the 2010 Nobel laureates, published the most potential article in materials science. Y-index showed that Inoue and Xia had the highest publication performance but different publication characteristics. Addresses: Asia Univ, Trend Res Ctr, Taichung 41354, Taiwan. E-mail Addresses: ysho at asia.edu.tw Cited Reference Count: 55 Times Cited: 0 Publisher: INDIAN ACAD SCIENCES, C V RAMAN AVENUE, SADASHIVANAGAR, P B #8005, BANGALORE 560 080, INDIA ISSN: 0011-3891 Web of Science Categories: Multidisciplinary Sciences Research Areas: Science & Technology - Other Topics IDS Number: AT7HW Unique ID: WOS:000345108200027 Cited References: Reina Alfonso, 2009, NANO LETTERS, V9, P30 Li Ling-li, 2009, SCIENTOMETRICS, V80, P39 ANSTIS GR, 1981, JOURNAL OF THE AMERICAN CERAMIC SOCIETY, V64, P533 Clark HA, 1906, PHYSICAL REVIEW, V23, P422 Pearson Karl, 1900, PHILOSOPHICAL MAGAZINE, V50, P157 CROSS LE, 1987, FERROELECTRICS, V76, P241 Li Zhi, 2008, SCIENTOMETRICS, V75, P97 Guggenheim EA, 1926, PHILOSOPHICAL MAGAZINE, V2, P538 Fardi Anastasia, 2011, JOURNAL OF ENDODONTICS, V37, P1183 Ho Yuh-Shan, 2012, CHINESE JOURNAL OF CHEMICAL ENGINEERING, V20, P478 MATTHEWS JW, 1974, JOURNAL OF CRYSTAL GROWTH, V27, P118 ANDERSON PW, 1972, PHILOSOPHICAL MAGAZINE, V25, P1 Brabec CJ, 2001, ADVANCED FUNCTIONAL MATERIALS, V11, P15 SMART JC, 1986, SCIENTOMETRICS, V10, P297 Aksnes DW, 2003, RESEARCH EVALUATION, V12, P159 Bui-Mansfield LT, 2005, AMERICAN JOURNAL OF ROENTGENOLOGY, V185, P597 Xia YN, 2003, ADVANCED MATERIALS, V15, P353 STROH AN, 1958, PHILOSOPHICAL MAGAZINE, V3, P625 GARFIELD E, 1970, NATURE, V227, P669 Kresse G, 1996, COMPUTATIONAL MATERIALS SCIENCE, V6, P15 GLEITER H, 1989, PROGRESS IN MATERIALS SCIENCE, V33, P223 Ho YS, 2007, J Environ Prot Sci., V1, P1 Schein M., 2000, Curr. 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K., 2007, NATURE MATERIALS, V6, P183 Chan Candace K., 2008, NATURE NANOTECHNOLOGY, V3, P31 BRAUN T, 1995, SCIENTOMETRICS, V33, P263 DUBIN D, 1993, ARCHIVES OF DERMATOLOGY, V129, P1121 Khan Moonis Ali, 2012, SCIENCE OF THE TOTAL ENVIRONMENT, V431, P122 Chiu WT, 2005, SCIENTOMETRICS, V63, P3 Ho Yuh-Shan, 2010, INTERNAL MEDICINE, V49, P2219 OLIVER WC, 1992, JOURNAL OF MATERIALS RESEARCH, V7, P1564 Suk Fat-Moon, 2011, EUROPEAN JOURNAL OF GASTROENTEROLOGY & HEPATOLOGY, V23, P295 Inoue A, 2000, ACTA MATERIALIA, V48, P279 SEGLEN PO, 1994, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V45, P1 [X] [X] * Title: Characterizing the Evolution of Social Computing Research Authors: Wang, T; Liu, Z; Xiu, BX; Mo, H; Zhang, QP Author Full Names: Wang, Tao; Liu, Zhong; Xiu, Baoxin; Mo, Hong; Zhang, Qingpeng Source: IEEE INTELLIGENT SYSTEMS, 29 (5):48-56; SEP-OCT 2014 Language: English Document Type: Article KeyWords Plus: CO-WORD ANALYSIS; NETWORKS; SCIENCE; COCITATION; DYNAMICS; SYSTEMS Addresses: [Wang, Tao] Natl Univ Def Technol, Coll Informat Syst & Management, Changsha, Hunan, Peoples R China. [Liu, Zhong] Natl Univ Def Technol, Changsha, Hunan, Peoples R China. [Xiu, Baoxin] Natl Univ Def Technol, Informat Syst Engn Lab, Changsha, Hunan, Peoples R China. [Mo, Hong] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha, Hunan, Peoples R China. [Zhang, Qingpeng] City Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China. E-mail Addresses: wangtao at nudt.edu.cn; liuzhong at nudt.edu.cn; baoxinxiu at 163.com; mohong72 at gmail.com; qingpeng.zhang at cityu.edu.hk Funding Acknowledgement: Hunan Provincial Innovation Foundation; National Natural Science Foundation of China [70771109, 61074903] Funding Text: We thank Fei-Yue Wang and Xiaolong Zheng for their guidance and advice in this research. This work is supported in part by Hunan Provincial Innovation Foundation for Postgraduate, and by the National Natural Science Foundation of China under grants 70771109 and 61074903. Cited Reference Count: 24 Times Cited: 0 Publisher: IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA ISSN: 1541-1672 eISSN: 1941-1294 Web of Science Categories: Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic Research Areas: Computer Science; Engineering IDS Number: AT7AM Unique ID: WOS:000345088300007 Cited References: Cutillo Leucio Antonio, 2009, IEEE COMMUNICATIONS MAGAZINE, V47, P94 Watts DJ, 1998, NATURE, V393, P440 White HD, 1998, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V49, P327 TIJSSEN RJW, 1995, SCIENTOMETRICS, V33, P93 Redner S, 1998, EUROPEAN PHYSICAL JOURNAL B, V4, P131 SMALL H, 1973, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V24, P265 Ahlqvist T., 2008, Social Media Roadmaps: Exploring the Futures Triggered by Social Media, Fei-Yue Wang, 2010, Computer, V43, CALLON M, 1983, SOCIAL SCIENCE INFORMATION SUR LES SCIENCES SOCIALES, V22, P191 Bankes S, 2002, SOCIAL SCIENCE COMPUTER REVIEW, V20, P377 Zhang Qingpeng, 2010, IEEE INTELLIGENT SYSTEMS, V25, P67 Garfield E, 2004, JOURNAL OF INFORMATION SCIENCEColloquium on Mapping Knowledge Domains, MAY 09-11, 2003, Irvine, CA, V30, P119 Armando Ronda-Pupo Guillermo, 2012, STRATEGIC MANAGEMENT JOURNAL, V33, P162 Wang Fei-Yue, 2007, IEEE INTELLIGENT SYSTEMS, V22, P79 Zhong Liu, 2011, IEEE Intelligent Systems, V26, LAW J, 1992, SCIENTOMETRICS, V23, P417 Savage N., 2011, Comm. ACM, V54, P18 Havre S, 2002, IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, V8, P9 Fei-Yue W., 2011, J. Univ. Shanghai for Science and Technology, V1, Dong J., 2007, BMC Syst. Biol., V1, P1 Shibata Naoki, 2008, TECHNOVATION, V28, P758 Lazer David, 2009, SCIENCE, V323, P721 WANG XG, 2007, P INT C WIR COMM NET, P3717 HANSEN HR, 1995, INFORMATION & MANAGEMENT, V28, P125 [X] Title: Theory of value co-creation: a systematic literature review Authors: Galvagno, M; Dalli, D Author Full Names: Galvagno, Marco; Dalli, Daniele Source: MANAGING SERVICE QUALITY, 24 (6):643-683; SI 10.1108/MSQ-09-2013-0187 2014 Language: English Document Type: Review Author Keywords: Value, Co-creation, Service science, Co-citation analysis, Customer participation, Service dominant logic KeyWords Plus: SERVICE-DOMINANT LOGIC; AUTHOR COCITATION ANALYSIS; VIRTUAL CUSTOMER ENVIRONMENTS; INTELLECTUAL STRUCTURE; RESEARCH DIRECTIONS; MANUFACTURING-INDUSTRY; CONSUMER RESEARCH; MANAGEMENT FIELD; VALUE CAPTURE; INNOVATION Abstract: Purpose - The purpose of this paper is to summarize and classify extant research and to better understand the past, present, and future state of the theory of value co-creation. Its main objectives are: to identify the different theoretical perspectives and research streams that characterize and define the co-creation literature, and to highlight the connections between them; to look for emerging trends and gaps in the literature by comparing the most recent papers with those representing the field's core. Design/methodology/approach - The paper relies on bibliometric data: co-citation techniques were employed to select, analyze, and interpret citation patterns within the co-creation literature. Findings - The paper identified two main clusters, as well as specific research streams and common themes, representing scholarly journals' publications on co-creation over the past years. These research streams and themes apply three different theoretical perspectives: service science, innovation and technology management, and marketing and consumer research. Data from the most recent publications has been used to verify if and how the original streams and themes are reflected in the contemporary debate. Research limitations/implications - Inevitably, the findings of the analysis have limitations related to the research design, the databases, and the applied bibliometric methods. Practical implications - From a practical perspective, the research impacts on theory building, management decision making, and teaching. Originality/value - This study depicts the remarkable development of the literature on co-creation and shows the latent structure underlying its different research streams. To the best knowledge, this study is the first to determine co-citation frequencies from both the SSCI and Scopus databases. Addresses: [Galvagno, Marco] Univ Catania, Dept Econ & Business, Catania, Italy. [Dalli, Daniele] Univ Pisa, Dept Econ & Management, Pisa, Italy. 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L., 2009, EUROPEAN MANAGEMENT JOURNAL, V27, P377 Acedo Francisco Jose, 2006, STRATEGIC MANAGEMENT JOURNAL, V27, P621 Galvagno Marco, 2011, EUROPEAN JOURNAL OF MARKETING, V45, P1688 Fueller Johann, 2009, JOURNAL OF MANAGEMENT INFORMATION SYSTEMS, V26, P71 Helkkula Anu, 2012, JOURNAL OF SERVICE MANAGEMENT, V23, P554 BELK RW, 1989, JOURNAL OF CONSUMER RESEARCH, V16, P1 Kristensson Per, 2008, INTERNATIONAL JOURNAL OF SERVICE INDUSTRY MANAGEMENT, V19, P474 von Hippel E., 2005, Democratizing Innovation, Prebensen Nina Katrine, 2011, INTERNATIONAL JOURNAL OF TOURISM RESEARCH, V13, P54 Karpen Ingo O., 2012, JOURNAL OF SERVICE RESEARCH, V15, P21 Cova Bernard, 2008, INDUSTRIAL MARKETING MANAGEMENT, V37, P270 Briscoe Gerard, 2012, EUROPEAN MANAGEMENT JOURNAL, V30, P418 Brown S, 2003, JOURNAL OF MARKETING, V67, P19 McColl-Kennedy Janet R., 2012, JOURNAL OF SERVICE RESEARCH, V15, P370 Spohrer Jim, 2008, PRODUCTION AND OPERATIONS MANAGEMENTConference of the Production-and-Operations-Management-Society and the College-of-Service-Operations, OCT, 2004, New York, NY, V17, P238 Terho Harri, 2012, INDUSTRIAL MARKETING MANAGEMENT, V41, P174 Zwick Detlev, 2008, JOURNAL OF CONSUMER CULTURE, V8, P163 Edvardsson Bo, 2011, JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, V39, P327 HOLBROOK MB, 1988, JOURNAL OF CONSUMER RESEARCH, V15, P398 Bitner MJ, 2000, JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, V28, P138 Helkkula Anu, 2012, JOURNAL OF SERVICE RESEARCH, V15, P59 Ramos-Rodriguez AR, 2004, STRATEGIC MANAGEMENT JOURNAL, V25, P981 Ritzer G., 2013, Journal of Consumer Culture, V14, P3 Fuschillo G., 2013, Revue Francaise de Gestion, V34, P115 Mochon Daniel, 2012, INTERNATIONAL JOURNAL OF RESEARCH IN MARKETING, V29, P363 Nambisan Satish, 2007, JOURNAL OF INTERACTIVE MARKETING, V21, P42 Yi Y., 2012, Journal of Business Research, V66, P1279 Samiee Saeed, 2012, JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, V40, P364 Shaw Gareth, 2011, TOURISM MANAGEMENT, V32, P207 Acedo FJ, 2005, INTERNATIONAL BUSINESS REVIEW, V14, P619 Vargo SL, 2004, JOURNAL OF MARKETING, V68, P1 [X] * Title: Citation impact analysis of research papers that appear in oral and poster sessions A case study of three computer science conferences Authors: Ke, SW; Lin, WC; Tsai, CF; Hu, YH Author Full Names: Ke, Shih-Wen; Lin, Wei-Chao; Tsai, Chih-Fong; Hu, Ya-Han Source: ONLINE INFORMATION REVIEW, 38 (6):738-745; 10.1108/OIR-03-2014-0062 2014 Language: English Document Type: Article Author Keywords: Citation analysis, Bibliometrics, Conference publication, Highly cited papers, Oral sessions, Poster sessions Abstract: Purpose - Conference publications are an important aspect of research activities. There are generally both oral presentations and poster sessions at large international conferences. One can hypothesise that, for the same conferences, the papers presented in oral sessions should have a higher research impact than the papers presented in poster sessions. However, there has been no related study examining the validity of this hypothesis. In other words, the difference of research impact between papers presented orally or during poster sessions has not been discussed in literature. Therefore, the purpose of this paper is to conduct a citation analysis to compare the research impact of papers presented in oral and poster sessions. Design/methodology/approach - In this paper, data from three leading conferences in the field of computer vision are examined, namely CVPR (2011 and 2012), ICCV (2011) and ECCV (2012). Several types of citation-related statistics are collected, including the number of highly cited papers (i. e. high number of citations) presented in oral and poster sessions, the total citations of both types of papers, the average citations of oral and poster papers, and the average citations of each frequently cited paper of both types. Findings - There are three main findings. First, a larger proportion of highly cited papers are from oral sessions than poster sessions. Second, the average number of citations per paper is larger for those presented in oral sessions than poster sessions. Third, the average number of citations for highly cited papers presented in oral sessions is not necessarily greater than for the ones presented in poster sessions. Originality/value - The originality of this paper is that it is the first attempt to examine the differences of citation impacts of conference papers presented in oral and poster sessions. The findings of this study will allow future bibliometrics research to further explore this related issue for longer periods and different fields. Addresses: [Ke, Shih-Wen] Chung Yuan Christian Univ, Dept Informat & Comp Engn, Jhongli, Taiwan. [Lin, Wei-Chao] Hwa Hsia Inst Technol, Dept Comp Sci & Informat Engn, Taipei, Taiwan. [Tsai, Chih-Fong] Natl Cent Univ, Dept Informat Management, Jhongli, Taiwan. [Hu, Ya-Han] Natl Chung Cheng Univ, Dept Informat Management, Chiayi, Taiwan. E-mail Addresses: cftsai at mgt.ncu.edu.tw Cited Reference Count: 15 Times Cited: 0 Publisher: EMERALD GROUP PUBLISHING LIMITED, HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND ISSN: 1468-4527 eISSN: 1468-4535 Web of Science Categories: Computer Science, Information Systems; Information Science & Library Science Research Areas: Computer Science; Information Science & Library Science IDS Number: AT7YK Unique ID: WOS:000345150300004 Cited References: Janakiramaiah M., 2011, International Convention on Automation of Libraries in Education and Research Institutions, 2-4 March, Goa, Haddow G., 2009, Evidence Based Library and Information Practice, V4, P164 Lisee Cynthia, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P1776 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Rahm E, 2005, SIGMOD RECORD, V34, P48 Aguillo I. F., 2011, Scientometrics, V91, P343 Amara Nabil, 2012, SCIENTOMETRICS, V93, P553 Moussa Salim, 2010, JOURNAL OF INFORMETRICS, V4, P107 Serenko Alexander, 2010, JOURNAL OF INFORMETRICS, V4, P447 Plotnikova Tatiana, 2014, SCIENTOMETRICS, V98, P1173 Jacso Peter, 2010, ONLINE INFORMATION REVIEW, V34, P175 Rubin R., 2010, Foundations of Library and Information Science, Garfield E., 1983, Citation Indexing-Its Theory and Application in Science, Technology and Humanities, Harzing A. W. K., 2008, Ethics in Science and Environmental Politics, V8, P61 Bornmann Lutz, 2014, ONLINE INFORMATION REVIEW, V38, P43 [X] * Title: Scholarly interest in gamification: a citation network analysis Authors: Harman, K; Koohang, A; Paliszkiewicz, J Author Full Names: Harman, Keith; Koohang, Alex; Paliszkiewicz, Joanna Source: INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 114 (9):1438-1452; 10.1108/IMDS-07-2014-0208 2014 Language: English Document Type: Article Author Keywords: Diffusion of innovations, S-curve, Gamification, Frequency of citation, Network citation analysis KeyWords Plus: ACADEMIC-PERFORMANCE; COCITATION NETWORKS; ADDICTION; GAMES; FLOW; ADOLESCENTS; INTERNET; MOTIVES; MODEL; HABIT Abstract: Purpose - Gamification has been studied in many areas, i.e. marketing, education, training, and psychology. There has been an increased interest in the topic of gamification among scholars in the past several years. The purpose of this paper is therefore to use citation network analysis and explore changes in scholarly interest in the topic of gamification. As a result, four study hypotheses were developed: H1a: the "other" category publications (books, proceedings, etc.) will have a significantly larger frequency when compared with "journal" publications; H1b: the trend line of the frequency of publications will most closely fit the S-curve of Adoption in the adoption of innovations or the spread of new ideas as postulated by Rogers (2003); H2a: there will be a negative correlation between graph density and the number of vertices (publications); and H2b: there will be a positive correlation between average geodesic distance (AVGD) and the number of vertices (publications). Design/methodology/approach - Data were collected from three searches for all published works that contained the word "gamification" in the titles of publication (the unit of analysis) from 2010 to 2013. The sampling was conducted via Google Scholar, amazon. com, and the academic library databases, i.e. EBSCO Search, JStor Scholarly Journal Archive, PsychArticles, and WorldCat. Data were analyzed using frequency counts and citation network. NodeXL is a highly structured workbook that includes multiple worksheets and computational functions necessary to store, represent, and analyze a network. Findings - All four hypotheses were supported; the "other" category accounted for a significantly larger number of publications with the word "gamification" in the title; the trend line of the frequency of publications will most closely fit the S-curve of Adoption in the adoption of innovations or the spread of new ideas as postulated by Rogers (2003); there was a negative correlation between graph density and the number of vertices (publications); and there was a positive correlation between AVGD and the number of vertices (publications). Research limitations/implications - It is highly improbable that a " pure" or "random" sample of publications could be collected because it is highly probable that there exists no known, i.e. identifiable and verifiable "true" population of works that include gamification in the title. Practical implications - The study findings have three major implications. The first takes in scholarly communication and the development of scientific knowledge. The findings imply that scholarly communication follows patterns similar to the adoption of innovation. The second implication deals with the topic known as "gamification." The study findings imply that scholars believe gamification is worthy of serious study as the network of scholars studying gamification is increasing. The third implication of our study relates to the methods used to study scholarly communication. The study findings imply that network analysis can be used to understand how a new concept can be vetted by the scientific community. Originality/value - The citation network analysis of this study provided tangible evidence of how new concepts are vetted, i.e. adopted. Citation network studies thus offer promise for a deeper understanding of scholarly communication and the adoption of new research topics and fields of inquiry. In addition, the findings indicate that "gamification" is a potentially fruitful topic for scholars to continue to explore. Addresses: [Harman, Keith] Oklahoma Baptist Univ, Paul S Dickinson Coll Business, Shawnee, OK USA. [Koohang, Alex] Middle Georgia State Coll, Sch Informat Technol, Macon, GA 31206 USA. [Paliszkiewicz, Joanna] Warsaw Univ Life Sci, Dept Econ, Warsaw, Poland. E-mail Addresses: alex.koohang at mga.edu Cited Reference Count: 55 Times Cited: 0 Publisher: EMERALD GROUP PUBLISHING LIMITED, HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND ISSN: 0263-5577 eISSN: 1758-5783 Web of Science Categories: Computer Science, Interdisciplinary Applications; Engineering, Industrial Research Areas: Computer Science; Engineering IDS Number: AT7XP Unique ID: WOS:000345148100007 Cited References: Kuittinen J., 2007, ACM, V2007, P105 Shibata N., 2011, Journal of the American Society for Information Science and Technology, V63, P78 Connolly Thomas M., 2012, COMPUTERS & EDUCATION, V59, P661 Small H, 1999, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V50, P799 Krippendorff K, 2012, Content Analysis: An Introduction to its Methodology, LaRose R, 2003, MEDIA PSYCHOLOGY, V5, P225 BASS FM, 1969, MANAGEMENT SCIENCE SERIES A-THEORY, V15, P215 Turner Nigel E., 2012, INTERNATIONAL JOURNAL OF MENTAL HEALTH AND ADDICTION, V10, P877 Pelling N., 2011, The (short) pre-history of gamification, funding start-ups (& other impossibilities) getting to 'yes' in a world of 'no, Lee Chiawen, 2012, SOCIAL BEHAVIOR AND PERSONALITY, V40, P673 Ip Barry, 2008, AUSTRALASIAN JOURNAL OF EDUCATIONAL TECHNOLOGY, V24, P355 Huotari K., 2012, Proceeding of the 16th International Academic MindTrek Conference, P17 Timpano Kiara R., 2013, JOURNAL OF ABNORMAL PSYCHOLOGY, V122, P13 Apanovich Z., 2012, ROMAI J., V8, P13 PRICE DJD, 1965, SCIENCE, V149, P510 Costas Rodrigo, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2433 Yan Erjia, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P1313 Ding Ying, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P236 McGonigal Jane, 2011, Reality is Broken: Why Games Make Us Better and How They Can Change the World, Lee Doohwang, 2007, JOURNAL OF BROADCASTING & ELECTRONIC MEDIA, V51, P632 Hansen DL, 2011, ANALYZING SOCIAL MEDIA NETWORKS WITH NODEXL: INSIGHTS FROM A CONNECTED WORLD, P1 Simoes Jorge, 2013, COMPUTERS IN HUMAN BEHAVIOR, V29, P345 Brughmans Tom, 2013, LITERARY AND LINGUISTIC COMPUTING, V28, P538 Strauss A., 2008, Basics of qualitative research: Techniques and procedures for developing grounded theory, Lowry R., 2014, Chi-square, Cramer's V, and Lambda, VassarStats: website for statistical computation, de Guinea Ana Ortiz, 2009, MIS QUARTERLY, V33, P433 Chen CM, 1999, INFORMATION PROCESSING & MANAGEMENT, V35, P401 Ventura Matthew, 2012, COMPUTERS & EDUCATION, V58, P1260 Peng Wei, 2012, COMPUTERS IN HUMAN BEHAVIOR, V28, P2100 Hellstrom Charlotta, 2012, COMPUTERS IN HUMAN BEHAVIOR, V28, P1379 Greenberg Steven A., 2011, JOURNAL OF EVALUATION IN CLINICAL PRACTICE, V17, P389 Paavilainen J., 2013, Simulation & Gaming, V44, P794 Kapp KM, 2012, The gamification of learning and instruction: game-based methods and strategies for training and education, Leskovec J., 2005, KDD'05, August 21-24, Chicago, IL, Khang Hyoungkoo, 2013, COMPUTERS IN HUMAN BEHAVIOR, V29, P2416 Calero C, 2006, SCIENTOMETRICS, V66, P365 Deterding S., 2011, Mind Trek '11, September 28-30, Tampere, Filsecker Michael, 2014, COMPUTERS & EDUCATION, V75, P136 Avolio Bruce J., 2014, LEADERSHIP QUARTERLY, V25, P105 Dominguez Adrian, 2013, COMPUTERS & EDUCATION, V63, P380 Furio David, 2013, COMPUTERS & EDUCATION, V64, P1 Bastian M., 2009, Third International AAAI Conference on Weblogs and Social Media, Association for the Advancement of Articial, San Jose, CA, P361 Zichermann G., 2011, Gamification by Design, Borgatti SP, 2006, SOCIAL NETWORKS, V28, P124 Neal Jennifer Watling, 2013, JOURNAL OF COMMUNITY PSYCHOLOGY, V41, P549 Werbach K., 2012, For the Win How Game Thinking Can Revolutionize Your Business, Dreyfus HL, 1986, Mind Over Machine: The Power of Human Intuition and Expertise in the Era of the Computer, Webb E., 2013, Gartner hype cycle: gamification, Harman Keith, 2006, INDUSTRIAL MANAGEMENT & DATA SYSTEMS, V106, P663 ASTD/ i4cp Research, 2014, Playing to win: gamification and serious games spark interest among learning professionals, Koivisto Jonna, 2014, COMPUTERS IN HUMAN BEHAVIOR, V35, P179 Bruner Mark W., 2013, GROUP DYNAMICS-THEORY RESEARCH AND PRACTICE, V17, P30 Finfgeld-Connett Deborah, 2013, JOURNAL OF ADVANCED NURSING, V69, P194 Wan CS, 2006, CYBERPSYCHOLOGY & BEHAVIOR, V9, P317 Rogers EM, 2003, Diffusion of Innovations, Authors: Andersen, J; Bazerman, C; Schneider, J Author Full Names: Andersen, Jack; Bazerman, Charles; Schneider, JesperEdited by: Jakobs EM; Perrin D Source: HANDBOOK OF WRITING AND TEXT PRODUCTION, 10 305-322; 2014 Book Series: Handbooks of Applied Linguistics-Communication Competence Language and Communication Problems Practical Solutions Language: English Document Type: Article; Book Chapter KeyWords Plus: AUTHOR COCITATION; SCIENTIFIC PAPERS; SCIENCE; INFORMATION; CITATION; DOCUMENTS; KNOWLEDGE; NETWORKS Abstract: This chapter reviews the literature using qualitative, ethnographic, historical, and bibliometric methods that examine the role of genres in activities and should provide ways of observing the organized production of genred texts within social systems as well as the dynamic and intertwined change of genres and systems. Genres are parts of larger systems which reinforce their familiarity, patterning, meaning, and even recognizable and meaningful variation. Within the social structures and relationships mediated by these systems or collections of genres two specific kinds of informational domains are constructed: the ordered, related network of texts that define the activity space and provide resources for each new text (intertextuality), and the actual knowledge represented within the network of texts (including the evaluation and application potentials of the represented knowledge). These systems of intertextuality and knowledge are in turn consequential for the social documentary systems they circulate among in the form of genres. Cited Reference Count: 76 Times Cited: 0 Publisher: WALTER DE GRUYTER GMBH, GENTHINER STRASSE 13, D-10785 BERLIN, GERMANY ISBN: 978-3-11-022067-4; 978-3-11-022063-6Book DOI: 10.1515/9783110220674 Web of Science Categories: Communication; LinguisticsResearch Areas: Communication; Linguistics IDS Number: BB4TP Unique ID: WOS:000343322000019 Cited References: Engestrom Yrjo, 1987, Learning by Expanding: An Activity-theoretical Approach to Developmental Research, Foscarini Fiorella, 2012, Archival Science, V12, P389 MacNeil Heather, 2012, Archival Science, V12, P485 Yates Joanne, 1989, Control Through Communication, SMALL HG, 1978, SOCIAL STUDIES OF SCIENCE, V8, P327 Morris Steven A., 2008, ANNUAL REVIEW OF INFORMATION SCIENCE AND TECHNOLOGY, V42, P213 Engestrom Y., 1990, Learning, Working, and Imagining: Twelve Studies in Activity Theory, Wright Steve, 2012, Archival Science, V12, P411 PRICE DJD, 1965, SCIENCE, V149, P510 Russell David R., 1997, Mind, Culture, and Activity, V4, P224 Berkenkotter Carol, 2011, WRITTEN COMMUNICATION, V28, P220 Andersen Jack, 2008, ANNUAL REVIEW OF INFORMATION SCIENCE AND TECHNOLOGY, V42, P339 Bazerman C, 2003, WRITTEN COMMUNICATION, V20, P455 COZZENS SE, 1985, SOCIAL STUDIES OF SCIENCE, V15, P127 Svenonius Elaine, 2000, The Intellectual Foundation of Information Organization, Swales John, 2004, Research Genres. 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K, 2004, Worlds of written discourse: A genre-based view, Spinuzzi Clay, 2000, Journal of Computer Documentation, V24, P169 Davenport E, 2002, ANNUAL REVIEW OF INFORMATION SCIENCE AND TECHNOLOGY, V36, P171 McKenzie Pamela, 2012, Archival Science, V12, P437 Spinuzzi C., 2003, Tracing Genres Through Organizations: A Sociocultural Approach to Information Design, Beaufort A, 2000, WRITTEN COMMUNICATION, V17, P185 GARFIELD E, 1955, SCIENCE, V122, P108 Knorr-Cetina Karin, 2002, American Journal of Sociology, V107, P905 Schryer Catherine, 1994, Genre and the New Rhetoric, P105 Brown John Seely, 1996, First Monday, V1, P1 Mozdzenski Leonardo, 2009, Genre in a Changing World, P99 Swales J. 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URL: From gopal at ANNAUNIV.EDU Thu Dec 25 23:05:16 2014 From: gopal at ANNAUNIV.EDU (Gopal T V) Date: Fri, 26 Dec 2014 09:35:16 +0530 Subject: Open Access Metrics: Use REF2014 to Validate Metrics for REF2020 In-Reply-To: <1353.10.5.14.245.1419331543.squirrel@mail.annauniv.edu> Message-ID: Dear All, Merry Christmas and New Year Greetings. This is further to my mail in the trace. Duplicate papers are believed to inflate the "Paper Count" close to a tenure of promotion. In case of authors coming in from different Institutions, the local conditions on ranking of publications may result in such an indulgence. Authors may part ways soon after communicating a paper. There may be more reasons.....I look forward to your inputs... Translations into multiple languages happens [and is desirable] in the Domain of Medicine for understandable reasons. Your thoughts on how to deal with such contexts.... The notion of "problematic papers" was known since 1666. There is a case study of German anesthesiologist Joachim Boldt whose 88 papers in 18 journals were to be retracted. Nine of the 88 papers were never retracted. I aware of the Committee on Publication Ethics (COPE) and its recommendations on the Retraction Process. Any metrics on "Retraction" of publications ? Warmest Regards Gopal T V 0 98401 21302 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Dr. T V Gopal Professor Department of Computer Science and Engineering College of Engineering Anna University Chennai - 600 025, INDIA Ph : (Off) 22351723 Extn. 3340 (Res) 24454753 Home Page : http://www.annauniv.edu/staff/gopal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ On Tue, December 23, 2014 4:15 pm, Gopal T V wrote: > Dear Prof. Yves Gingras, > > Many thanks. > > I liked the paper. The gospel of St. Mathews is indeed useful. > > I note that you have chosen the definition of duplicate papers given by Lariviere and Gingras. > > I will read it again more carefully as it also points at a caveat in the peer - review process and has ethical dimensions. > > Any idea as to "Why" do researchers publish duplicate papers in low - impact factor journals as well within a span of an year or two ? > > Also, how are duplicate paper pairs in [English, Non-English Language] journals factored ? [This is the rephrased question that I have asked in my earlier mail]. > > Your thoughts... > > Warmest Regards > > > > Gopal T V > 0 98401 21302 > ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Dr. T V Gopal > Professor > Department of Computer Science and Engineering > College of Engineering > Anna University > Chennai - 600 025, INDIA > Ph : (Off) 22351723 Extn. 3340 > (Res) 24454753 > Home Page : http://www.annauniv.edu/staff/gopal > +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ > > > On Mon, December 22, 2014 8:54 pm, Yves Gingras wrote: >> Adminstrative info for SIGMETRICS (for example unsubscribe): >> http://web.utk.edu/~gwhitney/sigmetrics.html >> Le 19/12/14 19:40, ??Gopal T V?? a ?crit?: >>> If a paper in "X" language is translated into "Y" language by a translator >>> [author(s) are only acknowledged], what will be the difference in the > rankings of these versions ? >> We have given an answer to that question in the following paper: Larivi?re , Vincent et Yves? Gingras, ? The impact factor's Matthew effect: >> a natural experiment in bibliometrics ?.?Journal of the American Society > for >> Information Science and Technology, vol. 61, no 2, 2010, pp.424-427. The pdf is here: >> http://www.chss.uqam.ca/Portals/0/docs/articles/MathhewsEffect.pdf Yves Gingras >> Professeur >> D?partement d'histoire >> Centre interuniversitaire de recherche >> sur la science et la technologie (CIRST) >> Chaire de recherche du Canada en histoire >> et sociologie des sciences >> Observatoire des sciences et des technologies (OST) >> UQAM >> C.P. 8888, Succ. Centre-Ville >> Montr?al, Qu?bec >> Canada, H3C 3P8 >> Tel: (514)-987-3000-7053 >> Fax: (514)-987-7726 >> http://www.chss.uqam.ca >> http://www.cirst.uqam.ca >> http://www.ost.uqam.ca > > > > From loet at LEYDESDORFF.NET Fri Dec 26 02:57:04 2014 From: loet at LEYDESDORFF.NET (Loet Leydesdorff) Date: Fri, 26 Dec 2014 08:57:04 +0100 Subject: The Citation Impact of German Sociology Journals: Some Problems with the Use of Scientometric Indicators in Journal and Research Evaluations (preprint) Message-ID: The Citation Impact of German Sociology Journals: Some Problems with the Use of Scientometric Indicators in Journal and Research Evaluations Loet Leydesdorff and Sta?a Milojevi? We analyze the citation impacts ('cited') and citation practices ('citing') of sociological journals which publish mainly in German, and discuss major drawbacks of using the journal impact factor (IF) to assess the quality of these journals. First, sociological literature moves very slowly in terms of citations, whereas journal impact factors (IF) measure short-term impact at research fronts. Second, the citation distributions are heavily skewed because of the so-called Matthew effect (Merton) of cumulative advantages; one should not use quasi-averages (such as the IF) given this skewness. The alternative of using non-parametric statistics (e.g., percentiles), however, requires delineation of the reference sets. We discuss the unsolved problems in the case of (inter)disciplinary delineations and show empirically the ecological fallacy in nevertheless attributing journal characteristics to individual papers. Algorithmic constructs (e.g., the various rankings) cannot be used for policy or management purposes without validation or specification of statistical error. Preprint available at http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2541908 ** Apologies for cross-postings _____ Loet Leydesdorff Emeritus University of Amsterdam Amsterdam School of Communications Research (ASCoR) loet at leydesdorff.net ; http://www.leydesdorff.net/ Honorary Professor, SPRU, University of Sussex; Guest Professor Zhejiang Univ., Hangzhou; Visiting Professor, ISTIC, Beijing; Visiting Professor, Birkbeck, University of London; http://scholar.google.com/citations?user=ych9gNYAAAAJ&hl=en -------------- next part -------------- An HTML attachment was scrubbed... URL: From eugene.garfield at THOMSONREUTERS.COM Fri Dec 26 22:57:53 2014 From: eugene.garfield at THOMSONREUTERS.COM (Eugene Garfield) Date: Sat, 27 Dec 2014 03:57:53 +0000 Subject: Papers of possible interest to readers of the SIG-METRICS List (December 26, 20140 Message-ID: *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345350200045 *Order Full Text [ ] Title: DO ABCs GET MORE CITATIONS THAN XYZs? Authors: Huang, W Author Full Names: Huang, Wei Source: ECONOMIC INQUIRY, 53 (1):773-789; 10.1111/ecin.12125 JAN 2015 Language: English Document Type: Article KeyWords Plus: SERIAL POSITION; IMPACT FACTOR; ORDER; PREFERENCES; ECONOMICS; RATES Abstract: Using a sample of U.S.-based scientific journal articles, I examine the relationship between author surname initials and paper citations, finding that the papers with first authors whose surname initials appear earlier in the alphabet get more citations, and that this effect does not exist for non-first authors. Further analysis shows that the alphabetical order effect is stronger in those fields with longer reference lists, and that such alphabetical bias exists among citations by others and not for self-citations. In addition, estimates also reveal that the alphabetical order effect is stronger when the length of reference lists in citing papers is longer. These findings suggest that the order in reference lists plays an important role in the alphabetical bias. (JEL D0, O3, Z1) Addresses: Harvard Univ, Dept Econ, Cambridge, MA 02138 USA. E-mail Addresses: weihuang at fas.harvard.edu Cited Reference Count: 34 Times Cited: 0 Publisher: WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA ISSN: 0095-2583 eISSN: 1465-7295 Web of Science Categories: Economics Research Areas: Business & Economics IDS Number: AU0ZH Unique ID: WOS:000345350200045 Cited References: Huang W., 2013, Working Paper, Campanha J. R., 2005, Brazilian Journal of Physics, V35, Vanclay Jerome K., 2013, JOURNAL OF INFORMETRICS, V7, P265 Althouse B. M., 2008, Working Paper 2008-4-23, Kerr William R., 2008, REVIEW OF ECONOMICS AND STATISTICS, V90, P518 Lortie Christopher J., 2013, SCIENTOMETRICS, V94, P675 Freeman R. B., 2014, NBER Working Paper No. 19819, Garfield E, 1999, CANADIAN MEDICAL ASSOCIATION JOURNAL, V161, P979 Carney D. R., 2012, PLoS One, V7, P2 de Bruin WB, 2005, ACTA PSYCHOLOGICA, V118, P245 Ellison Glenn, 2013, AMERICAN ECONOMIC JOURNAL-APPLIED ECONOMICS, V5, P63 Epley N., 2009, Journal of Behavioral Decision Making, V22, P1 HOUSTON DA, 1989, JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY, V25, P121 Redner S, 2005, PHYSICS TODAY, V58, P49 Coney K. A., 1977, Public Opinion Quarterly, V41, P385 Berger J., 2013, Working Paper, BERG HW, 1955, FOOD TECHNOLOGY, V9, P90 Mantonakis Antonia, 2009, PSYCHOLOGICAL SCIENCE, V20, P1309 Smart S., 1996, NBER Working Paper No. 5460, HAMERMESH DS, 1982, SOUTHERN ECONOMIC JOURNAL, V49, P472 Kerr William R., 2010, JOURNAL OF LABOR ECONOMICS, V28, P473 Gaule P., The Review of Economics and Statistics, Joseph K, 2005, SOUTHERN ECONOMIC JOURNAL, V71, P545 DIAMOND AM, 1986, JOURNAL OF HUMAN RESOURCES, V21, P200 Miller JM, 1998, PUBLIC OPINION QUARTERLY, V62, P291 Becker Sam L., 1954, PUBLIC OPINION QUARTERLY, V18, P271 DEAN ML, 1980, JOURNAL OF PSYCHOLOGY, V105, P107 Einav L, 2006, JOURNAL OF ECONOMIC PERSPECTIVES, V20, P175 Hilmer C. E., 2011, Working Paper, Freeman R. B., Journal of Labor Economics, Lozano George A., 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2140 NISBETT RE, 1977, PSYCHOLOGICAL REVIEW, V84, P231 Waltman Ludo, 2012, JOURNAL OF INFORMETRICS, V6, P700 Praag C. M. V., 2008, Economica, V75, P782 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345345100006 *Order Full Text [ ] Title: Finding influential agent groups in complex multiagent software systems based on citation network analyses Authors: Jiang, JC; Yu, JY; Lei, JS Author Full Names: Jiang, J. C.; Yu, J. Y.; Lei, J. S. Source: ADVANCES IN ENGINEERING SOFTWARE, 79 57-69; 10.1016/j.advengsoft.2014.09.002 JAN 2015 Language: English Document Type: Article Author Keywords: Complex software systems, Multiagent software systems, Agent groups, Citation networks, Group centrality, Group influence KeyWords Plus: TASK ALLOCATION; COORDINATION; NEGOTIATION; RULES Abstract: Current complex engineering software systems are often composed of many components and can be built based on a multiagent approach, resulting in what are called complex multiagent software systems. In a complex multiagent software system, various software agents may cite the operation results of others, and the citation relationships among agents form a citation network; therefore, the importance of a software agent in a system can be described by the citations from other software agents. Moreover, the software agents in a system are often divided into various groups, and each group contains the agents undergoing similar tasks or having related functions; thus, it is necessary to find the influential agent group (not only the influential individual agent) that can influence the system outcome utilities more than the others. To solve such a problem, this paper presents a new model for finding influential agent groups based on group centrality analyses in citation networks. In the presented model, a concept of extended group centrality is presented to evaluate the impact of an agent group, which is collectively determined by both direct and indirect citations from other agents outside the group. Moreover, the presented model addresses two typical types of agent groups: one is the adjacent group where agents of a group are adjacent in the citation network, and the other is the scattering group where agents of a group are distributed separately in the citation network. Finally, we present case studies and simulation experiments to prove the effectiveness of the presented model. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: [Jiang, J. C.] City Univ Hong Kong, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China. [Yu, J. Y.] Hunan Univ Sci & Technol, Sch Comp Sci & Engn, Xiangtan, Peoples R China. [Lei, J. S.] Shanghai Univ Elect Power, Sch Comp & Informat Engn, Shanghai 200090, Peoples R China. E-mail Addresses: jjiang1981 at hotmail.com; yujyong at hnust.edu.cn; jshlei at 126.com Funding Acknowledgement: National Natural Science Foundation of China [61170164, 61472079] Funding Text: This work was supported by the National Natural Science Foundation of China (No. 61170164, and No. 61472079). Cited Reference Count: 32 Times Cited: 0 Publisher: ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND ISSN: 0965-9978 eISSN: 1873-5339 Web of Science Categories: Computer Science, Interdisciplinary Applications; Computer Science, Software Engineering; Engineering, Multidisciplinary Research Areas: Computer Science; Engineering IDS Number: AU0XI Unique ID: WOS:000345345100006 Cited References: Jennings NR, 2001, GROUP DECISION AND NEGOTIATION1st International Conference on Group Decision and Negotiation (GDN), JUL 03-07, 2000, GLASGOW, SCOTLAND, V10, P199 Kraus S, 1997, ARTIFICIAL INTELLIGENCE14th International Joint Conference on Artificial Intelligence, AUG, 1995, MONTREAL, CANADA, V94, P79 Cao Longbing, 2008, IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, V38, P483 Jiang Yichuan, 2009, IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, V20, P641 Pujol J.M., 2002, Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent SystemsAAMAS '02: First International Joint Conference on Automomous Agents and Multi-Agent Systems, 15-19 July 2002, Bologna, Italy, Batory D, 1992, ACM Trans Softw Eng Methodol, V1, P335 Jiang Yichuan, 2013, IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, V24, P1671 Page L., 1999, Technical report, Everett M, 2005, Wang Wanyuan, 2014, IEEE TRANSACTIONS ON CYBERNETICS, V44, P1529 Jiang YC, 2005, MICROPROCESSORS AND MICROSYSTEMS, V29, P289 Jennings NR, 2001, COMMUNICATIONS OF THE ACM, V44, P35 Lin Donghui, 2007, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMSJoint Agent Workshop and Symposium 2006, OCT, 2006, Suzuka, JAPAN, VE90D, P1335 Crnkovic I., 2007, Softw Focus, V2, P127 Bornstein G, 2002, GAMES AND ECONOMIC BEHAVIOR, V41, P1 Fu Xiping, 2013, 2013 SECOND IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION (ACPR 2013)2nd IAPR Asian Conference on Pattern Recognition (ACPR), NOV 05-08, 2013, Naha, JAPAN, P171 Bilke S, 2001, PHYSICAL REVIEW E, V64, Christofides N., 1975, Graph theory: an algorithmic approach, Jadbabaie A, 2003, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, V48, P988 Parsons S, 2002, AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, V5, P243 Jiang Y., 2008, Scientometrics, V74, P471 Jiang Yichuan, 2011, IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, V41, P1107 von Luxburg Ulrike, 2007, STATISTICS AND COMPUTING, V17, P395 Abdallah S, 2007, Proceedings of the 6th international joint conference on autonomous agents and multiagent systems (AAMAS 2007), May, 2007, Honolulu, Hawaii, P172 Jiang Yichuan, 2012, IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, V42, P1040 Jiang Yichuan, 2009, IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWSWorkshop on Analytics for Noisy Unstructured Text Data held in Conjunction with the 20th International Joint Conference on Artificial Intelligence, JAN, 2007, Hyderabad, INDIA, V39, P448 Ren W, 2005, ACC: PROCEEDINGS OF THE 2005 AMERICAN CONTROL CONFERENCE, VOLS 1-7American Control Conference 2005 (ACC), JUN 08-10, 2005, Portland, OR, P1859 Dang YR, 1997, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V48, P946 MARSHAKOVA IV, 1981, SCIENTOMETRICS, V3, P13 Zhang Yong, 2009, ALGORITHMICA13th Annual International Conference on Computing and Combinatorics (COCOON 2007), JUL 16-16, 2007, Banff, CANADA, V54, P557 Tong Zhao, 2014, JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, V74, P2662 Yi P, 2004, Proceedings of the 3rd international conference on information security (InfoSecu-04), November 14-16, 2004, Shanghai, China, P125 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345491900001 *Order Full Text [ ] Title: Summarization based on bi-directional citation analysis Authors: Galgani, F; Compton, P; Hoffmann, A Author Full Names: Galgani, Filippo; Compton, Paul; Hoffmann, Achim Source: INFORMATION PROCESSING & MANAGEMENT, 51 (1):1-24; 10.1016/j.ipm.2014.08.001 JAN 2015 Language: English Document Type: Article Author Keywords: Natural language, Information extraction, Citations in information extraction, Summarization, Summarising legal documents KeyWords Plus: DOCUMENTS; SEARCH Abstract: Automatic document summarization using citations is based on summarizing what others explicitly say about the document, by extracting a summary from text around the citations (citances). While this technique works quite well for summarizing the impact of scientific articles, other genres of documents as well as other types of summaries require different approaches. In this paper, we introduce a new family of methods that we developed for legal documents summarization to generate catchphrases for legal cases (where catchphrases are a form of legal summary). Our methods use both incoming and outgoing citations, and we show how citances can be combined with other elements of cited and citing documents, including the full text of the target document, and catchphrases of cited and citing cases. On a legal summarization corpus, our methods outperform competitive baselines. The combination of full text sentences and catchphrases from cited and citing cases is particularly successful. We also apply and evaluate the methods on scientific paper summarization, where they perform at the level of state-of-the-art techniques. Our family of citation-based summarization methods is powerful and flexible enough to target successfully a range of different domains and summarization tasks. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: [Galgani, Filippo; Compton, Paul; Hoffmann, Achim] Univ New S Wales, Sch Comp Sci & Engn, Sydney, NSW 2052, Australia. E-mail Addresses: galganif at cse.unsw.edu.au; compton at cse.unsw.edu.au; achim at cse.unsw.edu.au Cited Reference Count: 57 Times Cited: 0 Publisher: ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND ISSN: 0306-4573 eISSN: 1873-5371 Web of Science Categories: Computer Science, Information Systems; Information Science & Library Science Research Areas: Computer Science; Information Science & Library Science IDS Number: AU3DC Unique ID: WOS:000345491900001 Cited References: Olsson J. L. T., 1999, Guide to uniform production of judgments, Galgani F., 2012, Proceedings of the workshop on innovative hybrid approaches to the processing of textual data, P115 Nakov P. I., 2004, Proceedings of the SIGIR'04 workshop on search and discovery in bioinformatics, Kleinberg JM, 1999, JOURNAL OF THE ACM, V46, P604 Ritchie A., 2008, CIKM '08: Proceeding of the 17th ACM conference on information and knowledge management, P213 Manning C. D., 2008, Introduction to information retrieval, V1, Qazvinian V., 2010, Proceedings of the 23rd international conference on computational linguistics (Coling 2010), Coling 2010 Organizing Committee, Beijing, China, P895 Vanderwende Lucy, 2007, INFORMATION PROCESSING & MANAGEMENT, V43, P1606 Garfield E., 1979, Citation indexing: Its theory and application in science, technology, and humanities, V8, Qazvinian V, 2011, Proceedings of the 49th annual meeting of the association for computational linguistics: Human language technologies, V1, P1098 Ashley K.D., 2009, Artificial Intelligence and Law, V17, Lin C. Y., 2004, Text summarization branches outProceedings of the ACL-04 workshop, P74 Nenkova A., 2005, Tech. Rep. MSR-TR-2005-101, Ritchie A., 2006, Proceedings of the workshop on how can computational linguistics improve information retrieval?, P25 Ceylan H., 2010, Human language technologiesThe 2010 annual conference of the North American chapter of the Association for Computational Linguistics, P903 Galgani F., 2012, PRICAI 2012, P40 Frank Schilder H. M. S., 2006, The third midwest computational linguistics colloquium (MCLC), Urbana-Champaign, IL, USA, Hachey B., 2006, Artificial intelligence and Law, V14, P305 Radev D. R., 2010, ACL '10: Proceedings of the 48th annual meeting of the association for computational linguistics, P555 Brin S, 1998, COMPUTER NETWORKS AND ISDN SYSTEMS7th International World Wide Web Conference, APR 14-18, 1998, BRISBANE, AUSTRALIA, V30, P107 PORTER MF, 1980, PROGRAM-AUTOMATED LIBRARY AND INFORMATION SYSTEMS, V14, P130 Wan X., 2008, Proceedings of the 31st annual international ACM SIGIR Conference on Research and Development in Information Retrieval, P299 Divoli A., 2012, Advances in Bioinformatics, V2012, Wan Stephen, 2009, JCDL 09: PROCEEDINGS OF THE 2009 ACM/IEEE JOINT CONFERENCE ON DIGITAL LIBRARIES9th Annual International ACM/IEEE Joint Conferene on Digital Libraries, JUN 15-19, 2009, Austin, TX, P59 Iida R., 2009, NLPIR4DL '09: Proceedings of the 2009 workshop on text and citation analysis for scholarly digital libraries, P88 Radev DR, 2004, INFORMATION PROCESSING & MANAGEMENT, V40, P919 Greenleaf G., 1995, Journal of Law and Information Science, V6, P49 Qazvinian V., 2008, COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics, V1, P689 Galgani F., 2012, PKAW 2012, P118 Mohammad S., 2009, Proceedings of human language technologies: The 2009 annual conference of the North American chapter of the association for computational linguistics, Boulder, Colorado, P584 Galgani Filippo, 2014, INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, V72, P584 Zhang P., 2007, ICAIL '07: Proceedings of the 11th international conference on artificial intelligence and law, P123 Grover C., 2004, Proceedings of the 5th international workshop on linguistically interpreted corpora (LINC-04), Mei Q., 2010, Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining, P1009 Radev D. R., 2009, NLPIR4DL '09: Proceedings of the 2009 workshop on text and citation analysis for scholarly digital libraries, P54 Mihalcea R., 2004, Proceedings of EMNLP-04 and the 2004 conference on empirical methods in natural language processing, Barcelona, Spain, Teufel S., 2007, Human language technologies 2007The conference of the North American chapter of the Association for Computational Linguistics; proceedings of the main conference, P316 Zajic David, 2007, INFORMATION PROCESSING & MANAGEMENT, V43, P1549 Moens Marie-Francine, 2007, INFORMATION PROCESSING & MANAGEMENT, V43, P1748 Uyttendaele C., 1998, Artificial Intelligence and Law, V6, Qazvinian V., 2013, Journal of Artificial Intelligence Research, V46, P1 Teufel S., 2012, Proceedings of the 2012 conference of the North American chapter of the Association for Computational Linguistics: Human language technologies, P597 Mei Q., 2008, Proceedings of ACL-08: HLT, P816 Bradshaw S, 2003, RESEARCH AND ADVANCED TECHNOLOGY FOR DIGITAL LIBRARIES7th European Conference on Research and Advanced Technology for Digital Libraries, AUG 17-22, 2003, TRONDHEIM, NORWAY, V2769, P499 Tarau P., 2005, First international conference on intelligent analysis methods and tools (IA), McLean, VA, Elkiss Aaron, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P51 Galgani F., 2012, Knowledge acquisition with multiple summarization techniques for legal text, Schwartz A. S, 2006, Proceedings of the HLT-NAACL BioNLP workshop on linking natural language and biology, P134 Nenkova A, 2004, HLT-NAACL 2004: HUMAN LANGUAGE TECHNOLOGY CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE MAIN CONFERENCEHuman Language Technology Conference of the North American Chapter of the Association-for-Computational-Linguistics, MAY 02-07, 2004, Boston, MA, P145 Mowbray A., 2009, Free access, quality of information, effectiveness of rightsProc. IX international conference 'Law via the Internet', P285 Yousfi-Monod Mehdi, 2010, ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS23rd Canadian Conference on Artificial Intelligence, MAY 31-JUN 02, 2010, Ottawa, CANADA, V6085, P51 Abu-Jbara A., 2011, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, V1, P500 Erkan G, 2004, JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, V22, P457 Aljaber B., 2011, Journal of Biomedical Informatics, Cole JR, 2000, WEB OF KNOWLEDGE - A FESTSCHRIFT IN HONOR OF EUGENE GARFIELD, P281 Wan Stephen, 2010, JOURNAL OF WEB SEMANTICS, V8, P196 Goldstein J., 1998, SIGIR '98: Proceedings of the 21st annual international ACM SIGIR conference on research and development in information retrieval, P335 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345551500002 *Order Full Text [ ] Title: mapping political research in portugal: scientific articles in national academic journals (2000-2012) Authors: Cancela, J; Coelho, TD; Ruivo, JP Author Full Names: Cancela, Joao; Coelho, Thierry Dias; Ruivo, Joao Pedro Source: EUROPEAN POLITICAL SCIENCE, 13 (4):327-339; 10.1057/eps.2014.18 DEC 2014 Language: English Document Type: Article Author Keywords: political science, Portugal, journal articles KeyWords Plus: SCIENCE Abstract: In recent years there has been a growing effort to trace the developments of political science in different countries through the analysis of articles published in academic journals. Building on existing literature on the history of the discipline, this contribution provides an attempt to produce a quantitatively informed description of political science publishing in Portugal from 2000 to 2012. Results show that the yearly output in national journals increased notably, mainly driven by international relations and comparative politics. A strong majority of articles are authored by researchers from domestic institutions. Nevertheless, the period under analysis witnessed an expanding scope beyond the domestic case and an increasing comparative focus. Addresses: [Cancela, Joao] Univ Nova Lisboa, CESNOVA, P-1069061 Lisbon, Portugal. Univ Nova Lisboa, IPRI, P-1069061 Lisbon, Portugal. E-mail Addresses: joaocancela at fcsh.unl.pt; thierry.coelho at fcsh.unl.pt; ruivojp at fcsh.unl.pt Cited Reference Count: 23 Times Cited: 0 Publisher: PALGRAVE MACMILLAN LTD, BRUNEL RD BLDG, HOUNDMILLS, BASINGSTOKE RG21 6XS, HANTS, ENGLAND ISSN: 1680-4333 eISSN: 1682-0983 Web of Science Categories: Political Science Research Areas: Government & Law IDS Number: AU4AM Unique ID: WOS:000345551500002 Cited References: Berndtson E., 1991, The Development of Political Science. A Comparative Survey, P34 Boncourt T., 2007, European Political Science, V6, P276 Jerez-Mir M., 2010, Spain in America: The First Decade of the Prince of Asturias Chair in Spanish Studies at Georgetown University, P281 STOCK MJ, 1991, EUROPEAN JOURNAL OF POLITICAL RESEARCH, V20, P425 Anckar D., 1991, The Development of Political Science. A Comparative Survey, P187 Norris P, 1997, EUROPEAN JOURNAL OF POLITICAL RESEARCH, V31, P17 CAIRNS AC, 1975, CANADIAN JOURNAL OF POLITICAL SCIENCE-REVUE CANADIENNE DE SCIENCE POLITIQUE, V8, P191 Moreira A., 2007, The State of Political Science in Western Europe, P311 Capano Giliberto, 2010, EUROPEAN POLITICAL SCIENCE, V9, P102 Munck G.L., 2007, Passion, Craft, and Method in Comparative Politics, DAALDER H, 1991, EUROPEAN JOURNAL OF POLITICAL RESEARCH, V20, P279 Altman David, 2012, EUROPEAN POLITICAL SCIENCE, V11, P71 Barrinha A., 2012, Relacoes Internacionais (R:I), V36, P5 Pehl Melte, 2012, EUROPEAN POLITICAL SCIENCE, V11, P54 Archambault Eric, 2006, SCIENTOMETRICS10th International Conference on Scientometrics and Informetrics, JUL, 2005, Stockholm, SWEDEN, V68, P329 Hicks D, 1999, SCIENTOMETRICS, V44, P193 1991, Discourses on Society, Ferreira-Pereira L.C., 2009, Global Society, V23, P79 Fern?ndez Mar?a de los ?ngeles, 2005, Revista de ciencia pol?tica (Santiago), V25, P56 Hayward J., 1999, The British Study of Politics in the Twentieth Century, P1 Cruz M.B. da, 1985, Revista de Ciencia Politica, V2, P5 Billordo L., 2005, French Politics, V3, P178 Easton D., 1995, Regime and Discipline: Democracy and the Development of Political Science, P1 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345579400035 *Order Full Text [ ] Title: Testing Bottom-Up Models of Complex Citation Networks Authors: Bedau, MA Author Full Names: Bedau, Mark A. Source: PHILOSOPHY OF SCIENCE, 81 (5):1131-1143; 10.1086/677700 DEC 2014 Language: English Document Type: Article KeyWords Plus: EMERGENCE Abstract: The robust behavior of the patent citation network is a complex target of recent bottom-up models in science. This paper investigates the purpose and testing of three especially simple bottom-up models of the citation count distribution observed in the patent citation network. The complex causal webs in the models generate weakly emergent patterns of behavior, and this explains both the need for empirical observation of computer simulations of the models and the epistemic harmlessness of the resulting epistemic opacity. Addresses: Reed Coll, Portland, OR 97202 USA. E-mail Addresses: mab at reed.edu Cited Reference Count: 32 Times Cited: 0 Publisher: UNIV CHICAGO PRESS, 1427 E 60TH ST, CHICAGO, IL 60637-2954 USA ISSN: 0031-8248 eISSN: 1539-767X Web of Science Categories: History & Philosophy Of Science Research Areas: History & Philosophy of Science IDS Number: AU4KJ Unique ID: WOS:000345579400035 Cited References: Winsberg Eric, 2010, Science in the Age of Computer Simulation, Valverde Sergi, 2007, PHYSICAL REVIEW E, V76, WIMSATT W C, 1987, P23 Arthur W. Brian, 2009, The Nature of Technology: What It Is and How It Evolves, Parker Wendy S., 2009, SYNTHESEConference on Models and Simulations, JUN 12-13, 2006, Paris, FRANCE, V169, P483 2008, Emergence: Contemporary Readings in Philosophy and Science, Schelling Thomas, 1978, Micromotives and Macrobehavior, P235 Lehmann S, 2005, EUROPHYSICS LETTERS, V69, P298 Weisberg Michael, 2013, Simulation and Similarity: Using Models to Understand the World, Bedau Mark A., 2011, Models, Simulations, and Representations, P91 Mitchell M., 2009, Complexity. A Guided Tour, Humphreys Paul, 2004, Extending Ourselves: Computational Science, Empiricism, and Scientific Method, Bechtel William, 1993, Discovering Complexity: Decomposition and Lo- calization as Strategies in Scientific Research, Wimsatt William C., 2007, Re-engineering Philosophy for Limited Beings: Piecewise Approx-imations to Reality, Bedau Mark A., 2008, MINDS AND MACHINES, V18, P443 Redner S, 1998, EUROPEAN PHYSICAL JOURNAL B, V4, P131 Bedau Mark A., 2013, FOUNDATIONS OF SCIENCE, V18, P791 Humphreys Paul, 2009, SYNTHESEConference on Models and Simulations, JUN 12-13, 2006, Paris, FRANCE, V169, P615 Sole Ricard, 2008, Signs of Life: How Complexity Pervades Biology, Barabasi AL, 1999, SCIENCE, V286, P509 Frank S. A., 2009, JOURNAL OF EVOLUTIONARY BIOLOGY, V22, P1563 Weisberg Michael, 2006, PHILOSOPHY OF SCIENCE19th Biennial Meeting of the Philosophy-of-Science-Association, NOV 18-20, 2004, Austin, TX, V73, P730 Bedau Mark A., 2011, P77 Chalmers Devin, 2010, Proceedings of Artificial Life XII, P838 Jaffe Adam B., 2002, Patents, Citations, and Innovations: A Window on the Knowledge Economy, Wolfram Stephen, 1994, Cellular Automata and Complexity, P387 Wimsatt William, 1981, Scientific Inquiry and the Social Sciences, P124 Buchanan Andrew, 2011, ARTIFICIAL LIFE, V17, P109 Grimm Volker, 2005, Individual-Based Modeling and Ecology, Wolfram Stephen, 2002, A New Kind of Science, Bedau Mark A., 2003, Principia Revista Internacional de Epistemologica, V6, P5 Weisberg Michael, 2007, JOURNAL OF PHILOSOPHY, V104, P639 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345441600016 *Order Full Text [ ] Title: A Multidimensional Approach to Evaluating Management Journals: Refining PageRank via the Differentiation of Citation Types and Identifying the Roles That Management Journals Play Authors: Cheang, B; Chu, SKW; Li, CS; Lim, A Author Full Names: Cheang, Brenda; Chu, Samuel Kai Wah; Li, Chongshou; Lim, Andrew Source: JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 65 (12):2581-2591; 10.1002/asi.23133 DEC 2014 Language: English Document Type: Article KeyWords Plus: RANKING; IMPACT; INDICATORS; NETWORKS; QUALITY; METRICS Abstract: In this article, the authors introduce two citation-based approaches to facilitate a multidimensional evaluation of 39 selected management journals. The first is a refined application of PageRank via the differentiation of citation types. The second is a form of mathematical manipulation to identify the roles that the selected management journals play. Their findings reveal that Academy of Management Journal, Academy of Management Review, and Administrative Science Quarterly are the top three management journals, respectively. They also discovered that these three journals play the role of a knowledge hub in the domain. Finally, when compared with Journal Citation Reports (Thomson Reuters, Philadelphia, PA), their results closely match expert opinions. Addresses: [Cheang, Brenda; Lim, Andrew] Nanjing Univ, Sch Management & Engn, Int Ctr Management Sci & Engn, Nanjing 210093, Jiangsu, Peoples R China. [Cheang, Brenda; Chu, Samuel Kai Wah] Univ Hong Kong, Fac Educ, Div Informat & Technol Studies, Hong Kong, Hong Kong, Peoples R China. [Li, Chongshou] City Univ Hong Kong, Coll Business, Dept Management Sci, Hong Kong, Hong Kong, Peoples R China. E-mail Addresses: brendacheang at yahoo.com; samchu at hku.hk; chongshli2-c at my.cityu.edu.hk; alim.china at gmail.com Cited Reference Count: 48 Times Cited: 0 Publisher: WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA ISSN: 2330-1635 eISSN: 2330-1643 Web of Science Categories: Computer Science, Information Systems; Information Science & Library Science Research Areas: Computer Science; Information Science & Library Science IDS Number: AU2IO Unique ID: WOS:000345441600016 Cited References: Kendall MG, 1938, BIOMETRIKA, V30, P81 Smith Richard, 2006, INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, V35, P1129 Eliades T., 2001, Journal of Orofacial Orthopedics, V62, P76 Weingart P, 2005, SCIENTOMETRICSConference on Bibliometric Analysis in Science and Research, NOV 05-07, 2003, Julich, GERMANY, V62, P117 Spearman C, 1904, AMERICAN JOURNAL OF PSYCHOLOGY, V15, P72 Xu Zhou, 2011, INTERFACES, V41, P375 Cheang B., 2013, A proposed multidimensional information system framework for journal evaluations: A case study in the field of education and educational research, Brown L., 2003, Review of Quantitative Finance and Accounting, V20, P291 Singh Gangaram, 2007, JOURNAL OF MANAGEMENT INQUIRY, V16, P319 Amin M., 2000, Perspectives in Publishing, V1, P1 Journal-ranking.com, 2013, Results of various journals were taken from their online calculations, Langville A., 2004, Internet Mathematics, Tahai A, 1999, STRATEGIC MANAGEMENT JOURNAL, V20, P279 DIACONIS P, 1977, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, V39, P262 Podsakoff PM, 2005, STRATEGIC MANAGEMENT JOURNAL, V26, P473 Robey D., 1998, Information Resources Management Journal, V11, Ding Ying, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P449 Bollen Johan, 2006, SCIENTOMETRICS, V69, P669 COE R, 1984, ACADEMY OF MANAGEMENT JOURNAL, V27, P660 Chen P., 2007, JOURNAL OF INFORMETRICS, V1, P8 Leydesdorff Loet, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P278 Coe R., 1969, AACSB Bulletin, V27, P23 Moed Henk F., 2012, SCIENTOMETRICS, V92, P367 Page L., 1998, The PageRank citation ranking: Bringing order to the web, PINSKI G, 1976, INFORMATION PROCESSING & MANAGEMENT, V12, P297 Butler Declan, 2008, NATURE, V451, P6 JOHNSON JL, 1994, ACADEMY OF MANAGEMENT JOURNAL, V37, P1392 SHARPLIN AD, 1985, HUMAN RELATIONS, V38, P139 Langville A. N., 2012, Who's No1?: The science of rating and ranking, P201 Yan Erjia, 2011, INFORMATION PROCESSING & MANAGEMENT, V47, P125 Dwork C., 2001, Proceedings of the 10th World Widw Web Conference, P613 Olson JE, 2005, INTERFACES, V35, P323 Lim Andrew, 2009, COMMUNICATIONS OF THE ACM, V52, P111 Ding Ying, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P236 Ding Ying, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P2229 Public Library of Science Medicine Editors, 2006, Public Library of Science Medicine, V3, P291 Pendlebury David A., 2009, ARCHIVUM IMMUNOLOGIAE ET THERAPIAE EXPERIMENTALIS, V57, P1 Rainer RK, 2005, COMMUNICATIONS OF THE ACM, V48, P91 MACMILLAN IC, 1987, STRATEGIC MANAGEMENT JOURNAL, V8, P183 DuBois FL, 2000, JOURNAL OF INTERNATIONAL BUSINESS STUDIES, V31, P689 Harris Claudia, 2008, JOURNAL OF SCHOLARLY PUBLISHING, V39, P373 EXTEJT MM, 1990, JOURNAL OF MANAGEMENT, V16, P539 Seglen P., 1997, British Medical Journal, V314, P499 Glanzel W, 2002, SCIENTOMETRICS8th International Conference on Scientometrics and Informetrics, JUL 17, 2001, SYDNEY, AUSTRALIA, V53, P171 Rousseau R, 2002, LIBRARY TRENDS, V50, P418 Lynch J. G., 2010, Frivolous journal self-citation, Ma Nan, 2008, INFORMATION PROCESSING & MANAGEMENT, V44, P800 Brin S, 1998, COMPUTER NETWORKS AND ISDN SYSTEMS7th International World Wide Web Conference, APR 14-18, 1998, BRISBANE, AUSTRALIA, V30, P107 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345350900156 *Order Full Text [ ] Title: CAN MEDIA COVERAGE INFLUENCE RESEARCH ARTICLE CITATIONS? Authors: Liu, YP; Zhao, Y; Robotin, M Author Full Names: Liu, Yaping; Zhao, Ying; Robotin, Monica Source: ASIA-PACIFIC JOURNAL OF CLINICAL ONCOLOGY, 10 126-126; 8 SI DEC 2014 Language: English Document Type: Meeting Abstract Addresses: [Liu, Yaping; Zhao, Ying] NSW Canc Council, Woolloomooloo, NSW, Australia. [Robotin, Monica] Univ Sydney, Sch Med, Sydney, NSW 2006, Australia. Cited Reference Count: 0 Times Cited: 0 Publisher: WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA ISSN: 1743-7555 eISSN: 1743-7563 Web of Science Categories: Oncology Research Areas: Oncology IDS Number: AU0ZN Unique ID: WOS:000345350900156 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345490300018 *Order Full Text [ ] Title: Bibliometric evaluation of pediatric neurosurgery in North America Authors: Klimo, P; Venable, GT; Khan, NR; Taylor, DR; Shepherd, BA; Thompson, CJ; Selden, NR Author Full Names: Klimo, Paul, Jr.; Venable, Garrett T.; Khan, Nickalus R.; Taylor, Douglas R.; Shepherd, Brandon A.; Thompson, Clinton J.; Selden, Nathan R. Source: JOURNAL OF NEUROSURGERY-PEDIATRICS, 14 (6):695-703; 10.3171/2014.8.PEDS1488 DEC 2014 Language: English Document Type: Article Author Keywords: bibliometrics, citation analysis, pediatric neurosurgery, North America, department, rank, Gini coefficient, Lorenz curve KeyWords Plus: H-INDEX; SCHOLARLY PRODUCTIVITY; UNITED-STATES; ACADEMIC OTOLARYNGOLOGY; NEUROLOGICAL SURGERY; GENDER DISPARITIES; SCIENCE; WOMEN; ANESTHESIOLOGISTS; PERFORMANCE Abstract: Object. The application of bibliometric techniques to academic neurosurgery has been the focus of several recent publications. The authors provide here a detailed analysis of all active pediatric neurosurgeons in North America and their respective departments. Methods. Using Scopus and Google Scholar, a bibliometric profile for every known active pediatric neurosurgeon in North America was created using the following citation metrics: h-, contemporary h-, g-, and e-indices and the m-quotient. Various subgroups were compared. Departmental productivity from 2008 through 2013 was measured, and departments were ranked on the basis of cumulative h- and e-indices and the total number of publications and citations. Lorenz curves were created, and Gini coefficients were calculated for all departments with 4 or more members. Results. Three hundred twelve pediatric neurosurgeons (260 male, 52 female) were included for analysis. For the entire group, the median h-index, m-quotient, contemporary h-, g-, and e-indices, and the corrected g-and e-indices were 10, 0.59, 7, 18, 17, 1.14, and 1.01, respectively; the range for each index varied widely. Academic pediatric neurosurgeons associated with fellowship programs (compared with unassociated neurosurgeons), academic practitioners (compared with private practitioners), and men (compared with women) had superior measurements. There was no significant difference between American and Canadian pediatric neurosurgeons. The mean Gini coefficient for publications was 0.45 (range 0.18-0.70) and for citations was 0.53 (range 0.25-0.80). Conclusions. This study represents the most exhaustive evaluation of academic productivity for pediatric neurosurgeons in North America to date. These results should serve as benchmarks for future studies. Addresses: [Klimo, Paul, Jr.] Semmes Murphey Neurol & Spine Inst, Memphis, TN USA. [Klimo, Paul, Jr.; Khan, Nickalus R.] Univ Tennessee, Dept Neurosurg, Memphis, TN USA. [Venable, Garrett T.; Taylor, Douglas R.; Shepherd, Brandon A.] Univ Tennessee, Hlth Sci Ctr, Memphis, TN USA. [Thompson, Clinton J.] George Washington Univ, Sch Publ Hlth & Hlth Serv, Washington, DC USA. [Selden, Nathan R.] Oregon Hlth & Sci Univ, Dept Neurol Surg, Portland, OR 97201 USA. E-mail Addresses: pklimo at semmes-murphey.com Cited Reference Count: 35 Times Cited: 0 Publisher: AMER ASSOC NEUROLOGICAL SURGEONS, 5550 MEADOWBROOK DRIVE, ROLLING MEADOWS, IL 60008 USA ISSN: 1933-0707 eISSN: 1933-0715 Web of Science Categories: Clinical Neurology; Pediatrics; Surgery Research Areas: Neurosciences & Neurology; Pediatrics; Surgery IDS Number: AU3CL Unique ID: WOS:000345490300018 PubMed ID: 25280195 Cited References: Venable Garrett T., 2014, WORLD NEUROSURGERY, V81, P468 Khan Nickalus R., 2014, JOURNAL OF NEUROSURGERY, V120, P746 Pagel P. S., 2011, ANAESTHESIA, V66, P873 Aoun Salah G., 2013, WORLD NEUROSURGERY, V80, PE85 Tomei Krystal L., 2014, JOURNAL OF CLINICAL NEUROSCIENCE, V21, P1102 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Egghe L, 2006, ISSI Newsletter, V2, P8 Bornmann L, 2008, Ethics Sci Environ Polit, V8, P93 West Jevin D., 2013, PLOS ONE, V8, Gaster Natascha, 2012, BIOESSAYS, V34, P830 Kalra Ricky R., 2013, JOURNAL OF NEUROSURGERY-PEDIATRICS, V12, P262 Benzil Deborah L., 2008, JOURNAL OF NEUROSURGERY, V109, P378 Perneger TV, 1998, BRITISH MEDICAL JOURNAL, V316, P1236 Hirsch J. E., 2007, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V104, P19193 Zhang Chun-Ting, 2009, PLOS ONE, V4, Pashkova A. A., 2013, ACTA ANAESTHESIOLOGICA SCANDINAVICA, V57, P1058 Campbell Peter G., 2011, JOURNAL OF NEUROSURGERY, V115, P380 Svider Peter F., 2013, LARYNGOSCOPE, V123, P103 Sidiropoulos Antonis, 2007, SCIENTOMETRICS, V72, P253 Kulkarni Abhaya V., 2009, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V302, P1092 Duch Jordi, 2012, PLOS ONE, V7, Sugimoto Cassidy R., 2013, NATURE, V504, P211 Ceci Stephen J., 2011, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V108, P3157 Khan Nickalus R, 2013, World neurosurgery, V80, P766 Lee Janet, 2009, JOURNAL OF NEUROSURGERY, V111, P387 Shen Helen, 2013, NATURE, V495, P22 Eloy Jean Anderson, 2013, OTOLARYNGOLOGY-HEAD AND NECK SURGERY, V148, P215 Spearman Christopher M., 2010, JOURNAL OF NEUROSURGERY, V113, P929 Nonnemaker L, 2000, NEW ENGLAND JOURNAL OF MEDICINE, V342, P399 Kelly Clint D., 2007, NATURE, V449, P403 Khan Nickalus, 2013, World neurosurgery, V80, P759 Symonds Matthew R. E., 2006, PLOS ONE, V1, Svider Peter F., 2014, JOURNAL OF NEUROSURGERY, V120, P191 Ponce Francisco A., 2010, JOURNAL OF NEUROSURGERY, V113, P447 Xie Y, 1998, AMERICAN SOCIOLOGICAL REVIEW, V63, P847 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345441600011 *Order Full Text [ ] Title: WL-Index: Leveraging Citation Mention Number to Quantify an Individual's Scientific Impact Authors: Wan, XJ; Liu, F Author Full Names: Wan, Xiaojun; Liu, Fang Source: JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 65 (12):2509-2517; 10.1002/asi.23151 DEC 2014 Language: English Document Type: Article KeyWords Plus: H-INDEX; BIBLIOMETRIC INDICATORS; RESEARCH OUTPUT; RANKING; REFERENCES; JOURNALS; MODEL Abstract: A number of bibliometric indices have been developed to evaluate an individual's scientific impact, and the most popular are the h-index and its variants. However, existing bibliometric indices are computed based on the number of citations received by each article, but they do not consider the frequency with which individual citations are mentioned in an article. We use "citation mention" to denote a unique occurrence of a cited reference mentioned in the citing article, and thus some citations may have more than one mention in an article. According to our analysis of the ACL Anthology Network corpus in the natural language processing field, more than 40% of cited references have been mentioned twice or in corresponding citing articles. We argue that citation mention is a preferable for representing the citation relationships between articles, that is, a reference article mentioned m times in the citing article will be considered to have received m citations, rather than one citation. Based on this assumption, we revise the h-index and propose a new bibliometric index, the WL-index, to evaluation an individual's scientific impact. According to our empirical analysis, the proposed WL-index more accurately discriminates between program committee chairs of reputable conferences and ordinary authors. Addresses: [Wan, Xiaojun; Liu, Fang] Peking Univ, Inst Comp Sci & Technol, MOE Key Lab Computat Linguist, Beijing 100871, Peoples R China. E-mail Addresses: wanxiaojun at pku.edu.cn; xiaojudou at gmail.com Funding Acknowledgement: National Natural Science Foundation of China (NSFC) [61170166]; National High Technology Research and Development Program of China (863 Program) [2012AA011101] Funding Text: We thank the anonymous reviewers for helpful comments. The work was supported by National Natural Science Foundation of China (NSFC) (No. 61170166) and the National High Technology Research and Development Program of China (863 Program) (No. 2012AA011101). Cited Reference Count: 41 Times Cited: 0 Publisher: WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA ISSN: 2330-1635 eISSN: 2330-1643 Web of Science Categories: Computer Science, Information Systems; Information Science & Library Science Research Areas: Computer Science; Information Science & Library Science IDS Number: AU2IO Unique ID: WOS:000345441600011 Cited References: Ruane Frances, 2008, SCIENTOMETRICS, V75, P395 Liu X., 2012, Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers, V1, P526 Ding Ying, 2013, JOURNAL OF INFORMETRICS, V7, P583 Zhang Guo, 2013, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V64, P1490 Dong C., 2011, Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP2011), P623 Braun Tibor, 2006, SCIENTOMETRICS, V69, P169 Alonso S., 2009, Scientometrics, V82, P391 Teufel S., 2006, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, P103 Egghe Leo, 2006, SCIENTOMETRICS, V69, P131 Jin B., 2007, ISSI Newsletter, V3, P6 Kosmulski M., 2006, ISSI Newsletter, V2, P4 Krupka G. R., 1998, Proceedings of MUC, V7, Piao S., 2007, International Workshop on Computational Semantics (IWCS), P366 Vanclay Jerome K., 2008, JOURNAL OF INFORMETRICS, V2, P326 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Teufel S., 2012, Proceedings of the 2012 conference of the North American chapter of the Association for Computational Linguistics: Human language technologies, P597 Jin BiHui, 2007, CHINESE SCIENCE BULLETIN, V52, P855 Yan Erjia, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P467 Radoulov R., 2008, Exploring automatic citation classification, Egghe Leo, 2008, INFORMATION PROCESSING & MANAGEMENT, V44, P770 HERLACH G, 1978, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V29, P308 Hirsch J. E., 2007, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V104, P19193 Bar-Ilan Judit, 2008, SCIENTOMETRICS, V74, P257 Jijkoun V., 2008, Proceedings of the second workshop on Analytics for noisy unstructured text data, P23 Voos H., 1976, Journal of Academic Librarianship, V1, P19 Prathap Gangan, 2009, CURRENT SCIENCE, V97, P751 VINKLER P, 1987, SCIENTOMETRICS, V12, P47 Bornmann Lutz, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P830 Molinari Jean-Francois, 2008, SCIENTOMETRICS, V75, P163 Todeschini Roberto, 2011, SCIENTOMETRICS, V87, P621 Radev D. R., 2009, Proceedings of the 2009 Workshop on Text and Citation Analysis for Scholarly Digital Libraries, P54 Alonso S., 2009, JOURNAL OF INFORMETRICS, V3, P273 Sidiropoulos Antonis, 2007, SCIENTOMETRICS, V72, P253 Van Raan AFJ, 2006, SCIENTOMETRICS, V67, P491 SMALL H, 1987, SCIENTOMETRICS, V12, P339 Costas Rodrigo, 2007, JOURNAL OF INFORMETRICS, V1, P193 Jin B. H., 2006, Science Focus, V1, P8 Vanclay Jerome K., 2007, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V58, P1547 van Eck Nees Jan, 2008, JOURNAL OF INFORMETRICS, V2, P263 Egghe L., 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P1276 Burrell Quentin L., 2007, JOURNAL OF INFORMETRICS, V1, P16 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345463400001 *Order Full Text [ ] Title: Sports review: A content analysis of the International Review for the Sociology of Sport, the Journal of Sport and Social Issues and the Sociology of Sport Journal across 25 years Authors: Dart, J Author Full Names: Dart, Jon Source: INTERNATIONAL REVIEW FOR THE SOCIOLOGY OF SPORT, 49 (6):645-668; 10.1177/1012690212465736 DEC 2014 Language: English Document Type: Article Author Keywords: academic journals, content analysis, research, sociology of sport, trends, Wordle KeyWords Plus: QUANTITATIVE METHODS; EMPIRICAL SOCIOLOGY; WOMENS SPORTS; COVERAGE; NETWORK; GENDER; CRISIS Abstract: The International Review for the Sociology of Sport, the Journal of Sport and Social Issues and Sociology of Sport Journal have individually and collectively been subject to a systematic content analysis. By focusing on substantive research papers published in these three journals over a 25-year time period it is possible to identify the topics that have featured within the sociology of sport. The purpose of the study was to identify the dominant themes, sports, countries, methodological frameworks and theoretical perspectives that have appeared in the research papers published in these three journals. Using the terms, identified by the author(s), that appear in the paper's title, abstract and/or listed as a key word, subject term or geographical term, a baseline is established to reflect on the development of the sub-discipline as represented by the content of these three journals. It is suggested that the findings illustrate what many of the more experienced practitioners in the field may have felt subjectively. On the basis of this systematic, empirical study it is now possible to identify those areas have received extensive coverage and those which are under-researched within the sociology of sport. The findings are used to inform a discussion of the role of academic journals and the recent contributions made by Michael Silk, David Andrews, Michael Atkinson and Dominic Malcolm on the past, present and future of the sociology of sport'. Addresses: [Dart, Jon] Leeds Metropolitan Univ, Leeds LS6 3QS, W Yorkshire, England. E-mail Addresses: j.j.dart at leedsmet.ac.uk Cited Reference Count: 60 Times Cited: 0 Publisher: SAGE PUBLICATIONS LTD, 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND ISSN: 1012-6902 eISSN: 1461-7218 Web of Science Categories: Hospitality, Leisure, Sport & Tourism; Sociology Research Areas: Social Sciences - Other Topics; Sociology IDS Number: AU2QR Unique ID: WOS:000345463400001 Cited References: Coakley Jay, 1987, International Review for Sociology of Sport, V22, P63 Callinicos A, 2006, Universities in a Neoliberal World, Smith K, 2012, REF's effort to make knowledge visible may have cloudy results, Heinemann K, 1990, International Review for the Sociology of Sport, V25, P3 Silverman D, 2003, Interpreting Qualitative Data: Methods for Analysing Talk, Text and Interaction, BSA/ESRC, 2010, Bishop R, 2003, JOURNAL OF SPORT & SOCIAL ISSUES, V27, P184 Melnick M, 1987, Sociology of Sport Journal, P289 Andrews D, 2008, Quest, V60, P46 David M, 2011, Social Research, Mumford S, 2012, Times Higher Education, P31 Burawoy M, 2004, Social Forces, V82, P603 Silk Michael L., 2010, JOURNAL OF SPORT & SOCIAL ISSUES, V34, P105 Heck J, 1988, Financial Management, V13, P209 Krawczyk Z., 1990, International Review for the Sociology of Sport, V25, P41 Savage Mike, 2007, SOCIOLOGY-THE JOURNAL OF THE BRITISH SOCIOLOGICAL ASSOCIATION, V41, P885 Vincent John, 2010, INTERNATIONAL REVIEW FOR THE SOCIOLOGY OF SPORT, V45, P199 Goldstein R, 2000, The New York Times, Savage Mike, 2009, SOCIOLOGY-THE JOURNAL OF THE BRITISH SOCIOLOGICAL ASSOCIATION, V43, P762 Byrne David, 2012, SOCIOLOGY-THE JOURNAL OF THE BRITISH SOCIOLOGICAL ASSOCIATION, V46, P13 King C., 2007, International Review for the Sociology of Sport, V42, P187 Harris J, 2011, Nieman Journalism Lab, Altbach P, 2012, Anarchy and commercialism. Inside Higher Ed, Silk Michael L., 2011, SOCIOLOGY OF SPORT JOURNAL, V28, P4 Colquhoun D, 2011, The Guardian, Bairner Alan, 2007, SOCIOLOGY OF SPORT JOURNAL, V24, P20 Uprichard Emma, 2013, SOCIOLOGY-THE JOURNAL OF THE BRITISH SOCIOLOGICAL ASSOCIATION, V47, P368 Collini S, 2012, What are Universities for?, Williams Malcolm, 2008, SOCIOLOGY-THE JOURNAL OF THE BRITISH SOCIOLOGICAL ASSOCIATION, V42, P1003 Ingham AG, 1997, SOCIOLOGY OF SPORT JOURNAL, V14, P362 Malcolm Dominic, 2014, INTERNATIONAL REVIEW FOR THE SOCIOLOGY OF SPORT, V49, P3 Carrington B, 2010, Sport, Race and Politics: The Sporting Black Diaspora, Nixon Howard L., 2010, SOCIOLOGY OF SPORT JOURNAL, V27, P76 Loy JW, 1997, SOCIOLOGY OF SPORT JOURNAL, V14, P315 Stemple G, 1981, Research Methods on Mass Communication, P119 Thrift N, 2005, Knowing Capitalism, Stoddart B., 1989, Sociology of Sport Journal, V6, P125 Krippendorff K, 2004, Content analysis: An introduction to its methodology, Greendorfer S, 1987, Sociology of Sport Journal, V4, P289 Jump P, 2012, Research intelligence-REF, get set and go, final rules in hand, Lapchick R, 1977, Arena Review, The Institute of Sport, V1, P1 Vincent J, 2004, SOCIOLOGY OF SPORT JOURNAL, V21, P435 Messner M. A., 2000, Journal of Sport & Social Issues, V24, P380 1981, Men's Studies Modified: The Impact of Feminism on the Academic Disciplines, Hussey T, 2010, The Trouble with Higher Education: A Critical Examination of our Universities, Snow CP, 2012, The Two Cultures, Aitchison C, 2001, LEISURE SCIENCES, V23, P1 Fanelli Daniele, 2010, PLOS ONE, V5, Millward P., 2008, Sociological Research Online, V13, P6 Mills CW, 1959, The sociological imagination, Riffe D, 1998, Analyzing Media Messages: Using Quantitative Content Analysis in Research, Moore K, 2000, Sports Illustrated, Kian Edward (Ted) M., 2009, JOURNAL OF BROADCASTING & ELECTRONIC MEDIA, V53, P477 McPherson B, 1975, International Review for the Sociology of Sport, V10, P55 Bairner Alan, 2009, INTERNATIONAL REVIEW FOR THE SOCIOLOGY OF SPORT, V44, P115 Rowe D, 1997, SOCIOLOGY OF SPORT JOURNAL, V14, P340 Donnelly P, 2005, International Review for the Sociology of Sport, V40, P285 Webster F, 2006, Cultural Studies, V18, P847 Atkinson Michael, 2011, SOCIOLOGY OF SPORT JOURNAL, V28, P135 Tomlinson A, 2006, Leisure Studies, V25, P257 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345441600008 *Order Full Text [ ] Title: Citations With Different Levels of Relevancy: Tracing the Main Paths of Legal Opinions Authors: Liu, JS; Chen, HH; Ho, MHC; Li, YC Author Full Names: Liu, John S.; Chen, Hsiao-Hui; Ho, Mei Hsiu-Ching; Li, Yu-Chen Source: JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 65 (12):2479-2488; 10.1002/asi.23135 DEC 2014 Language: English Document Type: Article KeyWords Plus: STATE SUPREME COURTS; NETWORK ANALYSIS; PRECEDENT; TRANSMISSION; BEHAVIOR; FIELD Abstract: This study explores the effect from considering citation relevancy in the main path analysis. Traditional citation-based analyses treat all citations equally even though there can be various reasons and different levels of relevancy for one document to reference another. Taking the relevancy level into consideration is intuitively advantageous because it adopts more accurate information and will thus make the results of a citation-based analysis more trustworthy. This is nevertheless a challenging task. We are aware of no citation-based analysis that has taken the relevancy level into consideration. The difficulty lies in the fact that the existing patent or patent citation database provides no readily available relevancy level information. We overcome this issue by obtaining citation relevancy information from a legal database that has relevancy level ranked by legal experts. This paper selects trademark dilution, a legal concept that has been the subject of many lawsuit cases, as the target for exploration. We apply main path analysis, taking citation relevancy into consideration, and verify the results against a set of test cases that are mentioned in an authoritative trademark book. The findings show that relevancy information helps main path analysis uncover legal cases of higher importance. Nevertheless, in terms of the number of significant cases retrieved, relevancy information does not seem to make a noticeable difference. Addresses: [Liu, John S.; Chen, Hsiao-Hui; Ho, Mei Hsiu-Ching; Li, Yu-Chen] Natl Taiwan Univ Sci & Technol, Grad Inst Technol Management, Taipei 10607, Taiwan. E-mail Addresses: johnliu at mail.ntust.edu.tw; hsiaohui at mail.ntust.edu.tw; mei.ho at mail.ntust.edu.tw; lily11130 at hotmail.com Funding Acknowledgement: Taiwan's National Science Council [NSC 102-2410-H-011-008-MY3, NSC102-2410-H-011-009] Funding Text: We would like to thank two anonymous reviewers for constructive comments that greatly improved the accuracy and readability of this article. This work is partially supported by Taiwan's National Science Council Grants NSC 102-2410-H-011-008-MY3 and NSC102-2410-H-011-009. Cited Reference Count: 36 Times Cited: 0 Publisher: WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA ISSN: 2330-1635 eISSN: 2330-1643 Web of Science Categories: Computer Science, Information Systems; Information Science & Library Science Research Areas: Computer Science; Information Science & Library Science IDS Number: AU2IO Unique ID: WOS:000345441600008 Cited References: Roban R., 2009, Using KeyCite On Westlaw, Liu John S., 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P528 Lupu Yonatan, 2012, BRITISH JOURNAL OF POLITICAL SCIENCE, V42, P413 McCarthy J.T., 2013, McCarthy on Trademarks and Unfair Competition, V4, Lu Louis Y. Y., 2012, JOURNAL OF BUSINESS ETHICS, V109, P583 Harris Jenine K., 2011, AMERICAN JOURNAL OF PREVENTIVE MEDICINE, V41, P105 HUMMON NP, 1989, SOCIAL NETWORKS, V11, P39 Martinelli Arianna, 2012, RESEARCH POLICY, V41, P414 Calero-Medina Clara, 2008, JOURNAL OF INFORMETRICS, V2, P272 LaFrance M., 2005, Understanding trademark law, CALDEIRA GA, 1985, AMERICAN POLITICAL SCIENCE REVIEW, V79, P178 Chandler S.J., 2007, Mathematica Journal, V10, Bhupatiraju Samyukta, 2012, RESEARCH POLICY, V41, P1205 Cross Frank B., 2010, UNIVERSITY OF ILLINOIS LAW REVIEW, P489 Fowler James H., 2007, POLITICAL ANALYSIS, V15, P324 Smyth Russell, 2011, LAW & SOCIETY REVIEW, V45, P139 Colicchia Claudia, 2012, SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, V17, P403 GARFIELD E, 1979, SCIENTOMETRICS, V1, P359 Cross F.B., 2006, San Diego Legal Studies Paper, No. 07-67, Bornmann Luti, 2008, JOURNAL OF DOCUMENTATION, V64, P45 Liu John S., 2013, OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, V41, P893 Liu John S., 2013, OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, V41, P3 Cross F.B., 2008, Emory Law Journal, V57, P1227 Verspagen Bart, 2007, ADVANCES IN COMPLEX SYSTEMS, V10, P93 Bommarito M.J., 2009, 12th International Conference on Artificial Intelligence and Law-ICAIL '09, Barcelona, Spain, Zimmerman A., 2013, Zimmerman's research guide, Case DO, 2000, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V51, P635 Batagelj V., 2003, Chandler S.J., 2005, 2005 Wolfram Technology Conference, Champaign, Illinois, Lucio-Arias Diana, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P1948 MACROBERTS MH, 1989, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V40, P342 Liu John S., 2012, JOURNAL OF INFORMETRICS, V6, P496 Garfield E, 1964, The Use of citation data in writing the history of science, Fontana R., 2009, Economics of Innovation and New Technology, V18, P311 Fowler James H., 2008, SOCIAL NETWORKS, V30, P16 Landes WM, 1998, JOURNAL OF LEGAL STUDIES, V27, P271 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345441600006 *Order Full Text [ ] Title: The Social Circles Behind Scientific References: Relationships Between Citing and Cited Authors in Chemistry Publications Authors: Milard, B Author Full Names: Milard, Beatrice Source: JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 65 (12):2459-2468; 10.1002/asi.23149 DEC 2014 Language: English Document Type: Article KeyWords Plus: INVISIBLE COLLEGE; CITATION; SCIENCE; DISCIPLINES; SPECIALTIES; MOTIVATIONS; PERSUASION; DIFFUSION; NETWORKS; BEHAVIOR Abstract: This paper provides a better understanding of the implications of researchers' social networks in bibliographic references. Using a set of chemistry papers and conducting interviews with their authors (n = 32), I characterize the type of relation the author has with the authors of the references contained in his/her paper (n = 3,623). I show that citation relationships do not always involve underlying personal exchanges and that unknown references are an essential component, revealing segmentations in scientific groups. The relationships implied by references are of various strengths and origins. Several inclusive social circles are then identified: co-authors, close acquaintances, colleagues, invisible colleges, peers, contactables, and strangers. I conclude that publication is a device that contributes to a relatively stable distribution among the various social circles that structure scientific sociability. Addresses: Univ Toulouse, CNRS, UMR 5193, Dept Sociol,LISST, F-31058 Toulouse 9, France. E-mail Addresses: milard at univ-tlse2.fr Funding Acknowledgement: RESOCIT program of the Agence Nationale de la Recherche (ANR) Scientific citations in social networks Funding Text: This study received funding from the RESOCIT program of the Agence Nationale de la Recherche (ANR) Scientific citations in social networks. The author thanks Yves Gingras for help and the two reviewers for suggestions to improve the text. Cited Reference Count: 55 Times Cited: 0 Publisher: WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA ISSN: 2330-1635 eISSN: 2330-1643 Web of Science Categories: Computer Science, Information Systems; Information Science & Library Science Research Areas: Computer Science; Information Science & Library Science IDS Number: AU2IO Unique ID: WOS:000345441600006 Cited References: Cronin B., 1984, The citation process: The role and significance of citations in scientific communication, Crane D., 1972, Invisible colleges. Diffusion of knowledge in scientific communities, Wallace Matthew L., 2012, PLOS ONE, V7, Lievrouw L.A., 1990, Scholarly communication and bibliometrics, P59 GRANOVET.MS, 1973, AMERICAN JOURNAL OF SOCIOLOGY, V78, P1360 CRANE D, 1965, AMERICAN SOCIOLOGICAL REVIEW, V30, P699 Simmel G., 1955, Conflict and the web of group affiliations, Riviera Emanuela, 2013, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V64, P1442 PRICE DJD, 1966, AMERICAN PSYCHOLOGIST, V21, P1011 MACROBERTS MH, 1984, SOCIAL STUDIES OF SCIENCE, V14, P91 1991, Textual dynamics of the professions: Historical and contemporary studies of writing in professional communities, Cronin B, 2002, SCIENTOMETRICS, V54, P31 MURRAY SO, 1982, SOCIAL NETWORKS, V4, P225 COZZENS SE, 1989, SCIENTOMETRICS, V15, P437 Mallard Gregoire, 2009, SCIENCE TECHNOLOGY & HUMAN VALUES97th Annual Meeting of the American-Sociological-Association, AUG 15-19, 2002, CHICAGO, IL, V34, P573 BROOKS TA, 1986, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V37, P34 Forse M., 1999, Introducing social networks, GILBERT GN, 1977, SOCIAL STUDIES OF SCIENCE, V7, P113 LAW J, 1982, SOCIAL STUDIES OF SCIENCE, V12, P535 White HD, 2001, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V52, P87 Harwood Nigel, 2008, SCIENTOMETRICS, V77, P253 SMALL H, 1974, SCIENCE STUDIES, V4, P17 Fischer C., 1982, To dwell among friends: Personal networks in town and city, BROOKS TA, 1985, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V36, P223 Bidart C., 2011, La vie en reseau. Dynamique des relations sociales, Park R.E., 1925, The city: Suggestions for the study of human nature in the urban environment, Hagstrom W.O., 1966, The scientific community, Wellman B., 1988, Social structures: A network approach, P130 LIEVROUW LA, 1987, SOCIAL NETWORKS, V9, P217 White HD, 2004, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V55, P111 Cronin B., 1995, The scholar's courtesy: The role of acknowledgement in the primary communication process, Shinn T., 1988, Actes de la recherche en sciences sociales, V74, P2 Milard B., 2010, REDES, Revista hispana para el analisis de redes sociales, V19, P69 PETERS HPF, 1995, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V46, P9 Granovetter M.S., 1983, Sociological Theory, V1, P201 Leydesdorff L, 1998, SCIENTOMETRICS, V43, P5 MICHAELSON AG, 1993, SOCIAL NETWORKS, V15, P217 Baldi S, 1998, AMERICAN SOCIOLOGICAL REVIEW, V63, P829 CRANEHERVE D, 1969, REVUE FRANCAISE DE SOCIOLOGIE, V10, P166 MULLINS NC, 1977, AMERICAN SOCIOLOGICAL REVIEW, V42, P552 Lariviere Vincent, 2006, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V57, P997 De Solla Price D.J., 1986, Little science, big science, Johnson Ben, 2007, JOURNAL OF DOCUMENTATION, V63, P609 Bornmann Luti, 2008, JOURNAL OF DOCUMENTATION, V64, P45 Moed H. F., 2005, Citation analysis in research evaluation, Frandsen Tove Faber, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P64 Lodge D., 1984, A small world. An academic romance, SMALL HG, 1979, SCIENTOMETRICS, V1, P445 Hargens LL, 2000, AMERICAN SOCIOLOGICAL REVIEW, V65, P846 Rowlands I, 1999, SCIENTOMETRICS5th International Conference on Science and Technology Indicators, JUN 04-06, 1998, CAMBRIDGE, ENGLAND, V44, P533 Harwood Nigel, 2009, JOURNAL OF PRAGMATICS, V41, P497 MORAVCSIK MJ, 1975, SOCIAL STUDIES OF SCIENCE, V5, P86 HARGENS LL, 1984, AMERICAN SOCIOLOGICAL REVIEW, V49, P685 Grossetti M, 2005, SOCIAL NETWORKS, V27, P289 Zuccala A, 2006, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V57, P152 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345567000001 *Order Full Text [ ] Title: A visual analysis of trends in the titles and keywords of top-ranked tourism journals Authors: Hunt, CA; Gao, J; Xue, L Author Full Names: Hunt, Carter A.; Gao, Jie; Xue, Lan Source: CURRENT ISSUES IN TOURISM, 17 (10):849-855; 10.1080/13683500.2014.900000 NOV 26 2014 Language: English Document Type: Article Author Keywords: visual analysis, word clouds, tourism journals, meta-analysis, reflexive practice KeyWords Plus: OF-TRAVEL-RESEARCH; RANKING; KNOWLEDGE Abstract: We generated a visual trend analysis of the titles and keywords of highly ranked tourism journals in the years 1982, 1992, 2002, and 2012 by using word clouds. This approach provides a fascinating snapshot into shifts in the priorities of tourism researchers over the last four decades, thus tracing the history of theoretical development in the field of tourism. Comparisons were made between (1) the titles of articles in all journals in different years; (2) titles in each journal in a recent year; and (3) titles and keywords of articles in the same journal in the same years. Not only do themes and concepts visibly shift in prominence over time and between journals, but also variance between keywords and titles of articles in the same journal for a particular year is observable. The practical applications for article titling, placement, and keyword designation are discussed. Addresses: [Hunt, Carter A.; Gao, Jie; Xue, Lan] Penn State Univ, Dept Recreat Pk & Tourism Management, University Pk, PA 16802 USA. E-mail Addresses: cahunt at psu.edu Cited Reference Count: 28 Times Cited: 0 Publisher: ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND ISSN: 1368-3500 eISSN: 1747-7603 Web of Science Categories: Hospitality, Leisure, Sport & Tourism Research Areas: Social Sciences - Other Topics IDS Number: AU4GB Unique ID: WOS:000345567000001 Cited References: Jogaratnam G, 2005, TOURISM MANAGEMENT, V26, P641 Perdue Richard R., 2009, JOURNAL OF TRAVEL RESEARCH, V47, P267 Xiao Honggen, 2007, ANNALS OF TOURISM RESEARCH, V34, P310 Ahearn Laura M., 2013, AMERICAN ETHNOLOGIST, V40, P6 Hall C. M., 2006, e-Review of Tourism Research, V4, P119 Haugerud Angelique, 2013, AMERICAN ETHNOLOGIST, V40, P1 McKercher B, 2005, TOURISM MANAGEMENT, V26, P649 Lu Jiaying, 2009, JOURNAL OF SUSTAINABLE TOURISM, V17, P5 Xiao HG, 2006, ANNALS OF TOURISM RESEARCH, V33, P490 Burnett G. W., 1991, Journal of Travel Research, V29, P47 Xiao Honggen, 2008, ANNALS OF TOURISM RESEARCH, V35, P62 Howey RM, 1999, TOURISM MANAGEMENT, V20, P133 Ballantyne Roy, 2009, ANNALS OF TOURISM RESEARCH, V36, P149 Xiao Honggen, 2013, ANNALS OF TOURISM RESEARCH, V40, P352 Goeldner Charles R., 2011, JOURNAL OF TRAVEL RESEARCH, V50, P583 Crandall A. C., 2001, U. S. Patent, P6,321,228 Tribe John, 2012, ANNALS OF TOURISM RESEARCH, V39, P7 WHITTAKER J, 1989, SOCIAL STUDIES OF SCIENCE, V19, P473 McKercher Bob, 2008, TOURISM MANAGEMENT, V29, P1226 Murphy Jamie, 2008, ANNALS OF TOURISM RESEARCH, V35, P1078 Hall C. Michael, 2011, TOURISM MANAGEMENT, V32, P16 McKercher Bob, 2006, TOURISM MANAGEMENT3rd Asia-Pacific CHRIE Conference (APacCHRIE), MAY 26-28, 2005, Kuala Lumpur, MALAYSIA, V27, P1235 Wickham Mark, 2012, ANNALS OF TOURISM RESEARCH, V39, P1714 Ryan C, 2005, TOURISM MANAGEMENT, V26, P657 Benckendorff Pierre, 2013, ANNALS OF TOURISM RESEARCH, V43, P121 Jamal Tazim, 2008, TOURISM MANAGEMENT, V29, P66 Xiao HG, 2005, ANNALS OF TOURISM RESEARCH, V32, P272 Racherla Pradeep, 2010, ANNALS OF TOURISM RESEARCH, V37, P1012 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345744100001 *Order Full Text [ ] Title: Inheritance Patterns in Citation Networks Reveal Scientific Memes Authors: Kuhn, T; Perc, M; Helbing, D Author Full Names: Kuhn, Tobias; Perc, Matjaz; Helbing, Dirk Source: PHYSICAL REVIEW X, 4 (4):10.1103/PhysRevX.4.041036 NOV 21 2014 Language: English Document Type: Article KeyWords Plus: COLLABORATION; SCIENCE; IMPACT; DISTRIBUTIONS; BURSTS; WORLD Abstract: Memes are the cultural equivalent of genes that spread across human culture by means of imitation. What makes a meme and what distinguishes it from other forms of information, however, is still poorly understood. Our analysis of memes in the scientific literature reveals that they are governed by a surprisingly simple relationship between frequency of occurrence and the degree to which they propagate along the citation graph. We propose a simple formalization of this pattern and validate it with data from close to 50 million publication records from the Web of Science, PubMed Central, and the American Physical Society. Evaluations relying on human annotators, citation network randomizations, and comparisons with several alternative approaches confirm that our formula is accurate and effective, without a dependence on linguistic or ontological knowledge and without the application of arbitrary thresholds or filters. Addresses: [Kuhn, Tobias; Helbing, Dirk] ETH, CH-8092 Zurich, Switzerland. [Perc, Matjaz] Univ Maribor, Fac Nat Sci & Math, SI-2000 Maribor, Slovenia. [Perc, Matjaz] Univ Maribor, CAMTP Ctr Appl Math & Theoret Phys, SI-2000 Maribor, Slovenia. [Helbing, Dirk] ETH, Risk Ctr, CH-8092 Zurich, Switzerland. E-mail Addresses: tokuhn at ethz.ch Funding Acknowledgement: European Commission through the ERC [324247]; Slovenian Research Agency [P5-0027] Funding Text: This research was supported by the European Commission through the ERC Advanced Investigator Grant "Momentum" (Grant No. 324247) and by the Slovenian Research Agency through the Program No. P5-0027. In addition, we would like to thank Karsten Donnay, Matthias Leiss, Christian Schulz, and Olivia Woolley-Meza for their useful feedback and help with the realization of the evaluations. Cited Reference Count: 36 Times Cited: 0 Publisher: AMER PHYSICAL SOC, ONE PHYSICS ELLIPSE, COLLEGE PK, MD 20740-3844 USA ISSN: 2160-3308 Article Number: 041036 Web of Science Categories: Physics, Multidisciplinary Research Areas: Physics IDS Number: AU6XG Unique ID: WOS:000345744100001 Cited References: Hulth A, 2003, PROCEEDINGS OF THE 2003 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSINGConference on Empirical Methods in Natural Language Processing, JUL 11-12, 2003, Sapporo, JAPAN, P216 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 PRICE DJD, 1965, SCIENCE, V149, P510 Petersen Alexander M., 2010, PHYSICAL REVIEW E, V82, Chavalarias David, 2013, PLOS ONE, V8, Dawkins R., 1989, The Selfish Gene, Guimera R, 2005, SCIENCE, V308, P697 Conover M., 2011, Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM), P89 Milojevic Stasa, 2014, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V111, P3984 Radicchi Filippo, 2009, PHYSICAL REVIEW E, V80, Gleeson James P., 2014, PHYSICAL REVIEW LETTERS, V112, Weng L., 2012, SCIENTIFIC REPORTS, V2, P1 Evans James A., 2011, SCIENCE, V331, P721 Radicchi Filippo, 2008, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V105, P17268 MERTON RK, 1968, SCIENCE, V159, P56 Stanley H. E., 1971, Introduction to Phase Transitions and Critical Phenomena, Borner K., 2014, Atlas of Knowledge, Pan Raj Kumar, 2012, SCIENTIFIC REPORTS, V2, Borner K., 2010, Atlas of Science, Redner S, 1998, EUROPEAN PHYSICAL JOURNAL B, V4, P131 Altmann Eduardo G., 2009, PLOS ONE, V4, PA31 Bastian M., 2009, Proceedings of the Third International AAAI Conference on Weblogs and Social Media (ICWSM), 2009, Menlo Park, CA, P361 Newman MEJ, 2004, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICAColloquium on Mapping Knowledge Domains, MAY 09-11, 2003, Irvine, CA, V101, P5200 Perc Matjaz, 2013, SCIENTIFIC REPORTS, V3, Christakis Nicholas A., 2013, STATISTICS IN MEDICINE, V32, P556 Adar E., 2005, Proceedings. The 2005 IEEE/WIC/ACM International Conference on Web IntelligenceProceedings. The 2005 IEEE/WIC/ACM International Conference on Web Intelligence, 19-22 Sept. 2005, Compiegne, France, Michel Jean-Baptiste, 2011, SCIENCE, V331, P176 Bourigault D., 1996, Proceedings of the 7th EURALEX International Congress, 1996, Goteborg, Sweden, P771 Penner Orion, 2013, SCIENTIFIC REPORTS, V3, Martin S., 2011, Visualization and Data Analysis 2011, V7868, Wang Dashun, 2013, SCIENCE, V342, P127 Simmons M. P., 2011, Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM), Menlo Park, CA, P353 Barabasi AL, 2005, NATURE, V435, P207 Leskovec J., 2009, Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, P497 Mazloumian Amin, 2013, SCIENTIFIC REPORTS, V3, Gomez Rodriguez M., 2010, Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, NY, P1019 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345533200007 *Order Full Text [ ] Title: Curare - A Curative Poison: A Scientometric Analysis Authors: Carl, J; Schwarzer, M; Klingelhoefer, D; Ohlendorf, D; Groneberg, DA Author Full Names: Carl, Jil; Schwarzer, Mario; Klingelhoefer, Doris; Ohlendorf, Daniela; Groneberg, David A. Source: PLOS ONE, 9 (11):10.1371/journal.pone.0112026 NOV 19 2014 Language: English Document Type: Article KeyWords Plus: BENCHMARKING PROCEDURES; INDEX Abstract: Introduction: Curare is one of the best-examined neurotoxins of the world, which has empirically been used for centuries by American Indigenes. Research on curare has been performed much later, a global scientometric analysis on curare research or its derivates does not yet exist. This bibliometric analysis is part of the global NewQis-project and should illuminate both toxic and historic issues of research on curare. Methods: The ISI Web of Science was searched for data covering 1900 to 2013 using a term which included as many original articles on curare as possible. 3,867 articles were found and analyzed for common bibliometric items such as the number of citations, language of the articles or the (modified) Hirsch-Index (h-index). Results are illustrated utilizing modern density equalizing map projections (DEMP) or beam diagrams. Results: Most publications were located in North America and Europe. The USA has the highest number of publications as well as the highest h-index. The number of publications overall rose until the late 1990s and later decreased. Furthermore, sudden increases of research activity are ascribable to historic events, like the first use of curare as muscle relaxant during surgery. Discussion: This scientometric analysis of curare research reflects several tendencies as previously seen in other bibliometric investigations, i.e. the scientific quality standard of North America and Europe. Research on curare decreased however, due to the declining attention towards this muscle relaxant. This work exemplifies also how scientometric methods can be used to illuminate historic circumstances immediately stimulating scientific research. Addresses: [Carl, Jil; Schwarzer, Mario; Klingelhoefer, Doris; Ohlendorf, Daniela; Groneberg, David A.] Goethe Univ Frankfurt, Inst Occupat Med Social Med & Environm Med, D-60054 Frankfurt, Germany. E-mail Addresses: occup-med at uni-frankfurt.de Cited Reference Count: 18 Times Cited: 0 Publisher: PUBLIC LIBRARY SCIENCE, 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA ISSN: 1932-6203 Article Number: e112026 Web of Science Categories: Multidisciplinary Sciences Research Areas: Science & Technology - Other Topics IDS Number: AU3SG Unique ID: WOS:000345533200007 Cited References: Schmidt S, 2013, J Viral Hepat, Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Fenster JM, 2001, Ether Day: The Strange Tale of America's Greatest Medical Discovery and The Haunted Men Who Made It: HarperCollins, Czarnowski Charles, 2007, CANADIAN FAMILY PHYSICIAN, V53, P1531 Ngudi Delphin Diasolua, 2012, PLOS NEGLECTED TROPICAL DISEASES, V6, Gomsu J, 2004, Humboldt im Netz, V8, P6 Fricke Ralph, 2013, BMC INFECTIOUS DISEASES, V13, Ball Philip, 2007, NATURE, V448, P737 Zell Hanna, 2010, JOURNAL OF OCCUPATIONAL MEDICINE AND TOXICOLOGY, V5, Ranawaka Udaya K., 2013, PLOS NEGLECTED TROPICAL DISEASES, V7, Bonpland A, 2004, Personal Narrative of Travels to the Equinoctial Regions of America, During the, Vogelzang B H, 2012, Indian journal of psychiatry, V54, P320 Milner D, 2009, From the rainforests of South America to the operating room: A history of curare, Groneberg David A., 2011, INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS, V10, Regal W, 2010, Arzte Woche, V11, Gastner MT, 2004, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V101, P7499 D'Anghera PM, 1912, De Orbo Novo. The Eight Decades of Peter Martyr, D'Anghera, Groneberg-Kloft Beatrix, 2009, Journal of occupational medicine and toxicology (London, England), V4, P16 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345542100010 *Order Full Text [ ] Title: Do the world's largest cities follow Zipf's and Gibrat's laws? Authors: Luckstead, J; Devadoss, S Author Full Names: Luckstead, Jeff; Devadoss, Stephen Source: ECONOMICS LETTERS, 125 (2):182-186; 10.1016/j.econlet.2014.09.005 NOV 2014 Language: English Document Type: Article Author Keywords: Gibrat's law, Growth process, Size distribution, World's largest cities, Zipf's law KeyWords Plus: SIZE DISTRIBUTION Abstract: We examine whether the size distribution and the growth process of the world's largest cities follow Zipf's law and Gibrat's law. The parametric results of the size distribution analysis reject Zipf's law for all sample sizes and also show the Zipf exponent systematically declines as the sample size increases. The growth process analysis confirms Gibrat's law and yields a local Zipf exponent of one for cities with a normalized population less than 0.53%, which includes about 95% of the total observations. The deviations from Zipf's law occur at the extreme upper tail and are likely a result of restricted mobility of population across countries. However, given that Gibrat's law holds, we can expect the size distribution to converge to Zipf's law with a decline in the barriers to immigration. (C) 2014 Elsevier B.V. All rights reserved. Addresses: [Luckstead, Jeff] Univ Arkansas, Fayetteville, AR 72701 USA. [Devadoss, Stephen] Univ Idaho, Moscow, ID 83843 USA. E-mail Addresses: jluckste at uark.edu; devadoss at uidaho.edu Cited Reference Count: 16 Times Cited: 0 Publisher: ELSEVIER SCIENCE SA, PO BOX 564, 1001 LAUSANNE, SWITZERLAND ISSN: 0165-1765 eISSN: 1873-7374 Web of Science Categories: Economics Research Areas: Business & Economics IDS Number: AU3WS Unique ID: WOS:000345542100010 Cited References: Rozenfeld Hernan D., 2011, AMERICAN ECONOMIC REVIEW, V101, P2205 United Nations, 2012, World Urbanization Prospect: The 2011 Revision, Urzua CM, 2000, ECONOMICS LETTERS, V66, P257 Magrini S., 2007, Working Paper No. 13, STANLEY MHR, 1995, ECONOMICS LETTERS, V49, P453 Ioannides YM, 2003, REGIONAL SCIENCE AND URBAN ECONOMICS, V33, P127 Bowman A. W., 1997, Applied Smoothing Techniques for Data Analysis, Krugman P., 1996, The Self-Organizing Economy, Luckstead Jeff, 2014, ECONOMICS LETTERS, V124, P516 Anderson G, 2005, REGIONAL SCIENCE AND URBAN ECONOMICS, V35, P756 Gibrat R., 1931, Les lnequalites Economiques, Luckstead Jeff, 2014, ECONOMICS LETTERS, V124, P290 Levy Moshe, 2009, AMERICAN ECONOMIC REVIEW, V99, P1672 Zipf G. K., 1949, Human Behavior and the Principle of Least Effort, Eeckhout J, 2004, AMERICAN ECONOMIC REVIEW, V94, P1429 The World Bank, 2014, World Development Indicators Database, ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345204000044 *Order Full Text [ ] Title: The Scientific Impact of Nations: Journal Placement and Citation Performance Authors: Smith, MJ; Weinberger, C; Bruna, EM; Allesina, S Author Full Names: Smith, Matthew J.; Weinberger, Cody; Bruna, Emilio M.; Allesina, Stefano Source: PLOS ONE, 9 (10):10.1371/journal.pone.0109195 OCT 8 2014 Language: English Document Type: Article KeyWords Plus: MEDICAL JOURNALS; BIAS; SCIENCE; AGE Abstract: International collaboration is becoming increasingly important for the advancement of science. To gain a more precise understanding of how factors such as international collaboration influence publication success, we divide publication success into two categories: journal placement and citation performance. Analyzing all papers published between 1996 and 2012 in eight disciplines, we find that those with more countries in their affiliations performed better in both categories. Furthermore, specific countries vary in their effects both individually and in combination. Finally, we look at the relationship between national output (in papers published) and input (in citations received) over the 17 years, expanding upon prior depictions by also plotting an expected proportion of citations based on Journal Placement. Discrepancies between this expectation and the realized proportion of citations illuminate trends in performance, such as the decline of the Global North in response to rapidly developing countries, especially China. Yet, most countries' show little to no discrepancy, meaning that, in most cases, citation proportion can be predicted by Journal Placement alone. This reveals an extreme asymmetry between the opinions of a few reviewers and the degree to which paper acceptance and citation rates influence career advancement. Addresses: [Smith, Matthew J.; Weinberger, Cody; Allesina, Stefano] Univ Chicago, Dept Ecol & Evolut, Chicago, IL 60637 USA. [Bruna, Emilio M.] Univ Florida, Ctr Latin Amer Studies, Gainesville, FL USA. [Bruna, Emilio M.] Univ Florida, Dept Wildlife Ecol & Conservat, Gainesville, FL USA. [Allesina, Stefano] Univ Chicago, Computat Inst, Chicago, IL 60637 USA. [Smith, Matthew J.; Allesina, Stefano] Northern Plains Ctr Human Potential, St Paul, MN USA. E-mail Addresses: mjsmith at uchicago.edu Funding Acknowledgement: National Science Foundation Science of Science Policy [1042164]; University of Florida Center for Latin American Studies Faculty Research Award Funding Text: MJS, CW, and SA were supported by National Science Foundation Science of Science Policy #1042164. EMB was supported by a University of Florida Center for Latin American Studies Faculty Research Award. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Cited Reference Count: 19 Times Cited: 0 Publisher: PUBLIC LIBRARY SCIENCE, 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA ISSN: 1932-6203 Article Number: e109195 Web of Science Categories: Multidisciplinary Sciences Research Areas: Science & Technology - Other Topics IDS Number: AT8TE Unique ID: WOS:000345204000044 Cited References: Akre Olof, 2011, JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, V65, P119 Lozano George A., 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2140 Katz JS, 1997, SCIENTOMETRICS6th Conference of the International-Society-for-Scientometrics-and-Informetrics, JUN 16-19, 1997, JERUSALEM, ISRAEL, V40, P541 Opthof T, 2002, CARDIOVASCULAR RESEARCH, V56, P339 Bornmann Lutz, 2013, PLOS ONE, V8, Van Raan A, 1997, Sci Public Policy, V24, P290 MOLLER AP, 1990, NATURE, V348, P480 May RM, 1997, SCIENCE, V275, P793 King DA, 2004, NATURE, V430, P311 Link AM, 1998, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION3rd International Congress on Peer Review in Biomedical Publication, SEP, 1997, PRAGUE, CZECH REPUBLIC, V280, P246 Aksnes Dag W., 2012, JOURNAL OF INFORMETRICS, V6, P36 May RM, 1998, SCIENCE, V281, P49 Leimu R, 2005, TRENDS IN ECOLOGY & EVOLUTION, V20, P28 PETERS DP, 1982, BEHAVIORAL AND BRAIN SCIENCES, V5, P187 Adams Jonathan, 2013, NATURE, V497, P557 Stocks Gabriela, 2008, BIOTROPICA, V40, P397 LINDSEY D, 1980, SOCIAL STUDIES OF SCIENCE, V10, P145 Horton R, 2003, LANCET, V361, P712 Paris G, 1998, NATURE, V396, P210 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345204000022 *Order Full Text [ ] Title: Measuring Long-Term Impact Based on Network Centrality: Unraveling Cinematic Citations Authors: Spitz, A; Horvat, EA Author Full Names: Spitz, Andreas; Horvat, Emoeke-Agnes Source: PLOS ONE, 9 (10):10.1371/journal.pone.0108857 OCT 8 2014 Language: English Document Type: Article KeyWords Plus: BOX-OFFICE PERFORMANCE; SMALL-WORLD NETWORKS; SCIENTIFIC IMPACT; MOTION-PICTURES; SOCIAL NETWORK; MULTIPLEX NETWORKS; EVOLUTION; DYNAMICS; UNIVERSALITY; EMERGENCE Abstract: Traditional measures of success for film, such as box-office revenue and critical acclaim, lack the ability to quantify long-lasting impact and depend on factors that are largely external to the craft itself. With the growing number of films that are being created and large-scale data becoming available through crowd-sourced online platforms, an endogenous measure of success that is not reliant on manual appraisal is of increasing importance. In this article we propose such a ranking method based on a combination of centrality indices. We apply the method to a network that contains several types of citations between more than 40,000 international feature films. From this network we derive a list of milestone films, which can be considered to constitute the foundations of cinema. In a comparison to various existing lists of 'greatest' films, such as personal favourite lists, voting lists, lists of individual experts, and lists deduced from expert polls, the selection of milestone films is more diverse in terms of genres, actors, and main creators. Our results shed light on the potential of a systematic quantitative investigation based on cinematic influences in identifying the most inspiring creations in world cinema. In a broader perspective, we introduce a novel research question to large-scale citation analysis, one of the most intriguing topics that have been at the forefront of scientific enquiries for the past fifty years and have led to the development of various network analytic methods. In doing so, we transfer widely studied approaches from citation analysis to the the newly emerging field of quantification efforts in the arts. The specific contribution of this paper consists in modelling the multidimensional cinematic references as a growing multiplex network and in developing a methodology for the identification of central films in this network. Addresses: [Spitz, Andreas; Horvat, Emoeke-Agnes] Heidelberg Univ, Interdisciplinary Ctr Sci Comp IWR, Heidelberg, Germany. [Horvat, Emoeke-Agnes] Northwestern Univ, NICO, Evanston, IL USA. E-mail Addresses: a-horvat at northwestern.edu Funding Acknowledgement: MFG Stiftung Baden-Wuerttemberg, Germany; Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences, University of Heidelberg, Germany - German Excellence Initiative [GSC 220]; Northwestern Institute on Complex Systems Funding Text: This research was funded by the MFG Stiftung Baden-Wuerttemberg, Germany through a Karl Steinbuch Scholarship. The publication fee was covered by the Northwestern Institute on Complex Systems. EAH was supported by the Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences, University of Heidelberg, Germany, which is funded by the German Excellence Initiative (GSC 220), and by the Northwestern Institute on Complex Systems. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Cited Reference Count: 56 Times Cited: 0 Publisher: PUBLIC LIBRARY SCIENCE, 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA ISSN: 1932-6203 Article Number: e108857 Web of Science Categories: Multidisciplinary Sciences Research Areas: Science & Technology - Other Topics IDS Number: AT8TE Unique ID: WOS:000345204000022 Cited References: Peterson George J., 2010, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V107, P16023 Atkinson M, 2012, Listomania! Sight and Sound, Hidalgo CA, 2006, NEW JOURNAL OF PHYSICS, V8, Thompson K, 1994, Film history: an introduction, Leskovec Jure, 2007, ACM TRANSACTIONS ON THE WEB, V1, Pardoe Iain, 2008, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, V171, P375 Hidalgo Cesar A., 2008, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, V387, P3017 Barabasi AL, 2005, NATURE, V435, P207 Gemser Gerda, 2007, JOURNAL OF CULTURAL ECONOMICS, V31, P43 Newman MEJ, 2001, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V98, P404 Holme Petter, 2012, PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, V519, P97 Doshi Lyric, 2010, 1ST COLLABORATIVE INNOVATION NETWORKS CONFERENCE - COINS20091st Conference on Collaborative Innovation Networks (COINs2009), OCT 08-11, 2009, Savannah, GA, V2, P6423 Albert R, 2000, PHYSICAL REVIEW LETTERS, V85, P5234 Newman MEJ, 2002, PHYSICAL REVIEW LETTERS, V89, PRICE DJD, 1965, SCIENCE, V149, P510 Radicchi Filippo, 2008, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V105, P17268 Mucha Peter J., 2010, SCIENCE, V328, P876 Newman M.E.J., 2010, Networks: An Introduction, Callaway DS, 2000, PHYSICAL REVIEW LETTERS, V85, P5468 Wasserman M, 2014, Journal of the Association for Information Science and Technology, See Linda, 2013, PLOS ONE, V8, Csardi Gabor, 2007, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, V374, P783 Davis Darcy A., 2011, PLOS ONE, V6, Holbrook Morris B., 2008, JOURNAL OF CULTURAL ECONOMICS, V32, P87 De Vany A, 2011, Hollywood economics: how extreme uncertainty shapes the film industry, Holbrook MB, 1999, JOURNAL OF CONSUMER RESEARCH, V26, P144 Bordwell D., 1997, On the History of Film Style, Kossinets G, 2006, SCIENCE, V311, P88 Mestyan Marton, 2013, PLOS ONE, V8, PADGETT JF, 1993, AMERICAN JOURNAL OF SOCIOLOGY, V98, P1259 Wuchty Stefan, 2007, SCIENCE, V316, P1036 Barabasi AL, 1999, SCIENCE, V286, P509 The Internet Movie Database (IMDb), Alternative interfaces, Sreenivasan Sameet, 2013, SCIENTIFIC REPORTS, V3, Barabasi AL, 2002, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, V311, P590 Boatwright Peter, 2007, QME-QUANTITATIVE MARKETING AND ECONOMICS, V5, P401 Cardillo Alessio, 2013, SCIENTIFIC REPORTS, V3, Baxandall M, 1985, Patterns of intention: On the historical explanation of pictures, Leicht E. A., 2007, EUROPEAN PHYSICAL JOURNAL B, V59, P75 Magnani M., 2011, Proceedings of the 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011)2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011), 25-27 July 2011, Kaohsiung, Taiwan, Uzzi Brian, 2013, SCIENCE, V342, P468 Fowler James H., 2008, SOCIAL NETWORKS, V30, P16 Palla Gergely, 2007, NATURE, V446, P664 Neville J, 2003, Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD '03, P625 Foster Jacob G., 2010, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V107, P10815 Jaffe Adam B., 2002, Patents, Citations, and Innovations: A Window on the Knowledge Economy, Wang Dashun, 2013, SCIENCE, V342, P127 Szell Michael, 2010, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V107, P13636 Amaral LAN, 2000, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V97, P11149 McCusker JJ, 1992, How much is that in real money?: A historical price index for use as a deflator of money values in the economy of the United States, Radicchi Filippo, 2012, MODELS OF SCIENCE DYNAMICS: ENCOUNTERS BETWEEN COMPLEXITY THEORY AND INFORMATION SCIENCES, P233 Gomez-Gardenes Jesus, 2012, SCIENTIFIC REPORTS, V2, Grindrod Peter, 2011, PHYSICAL REVIEW E, V83, Watts DJ, 1998, NATURE, V393, P440 Egghe L, 1990, Introduction to Informetrics: quantitative methods in library, documentation and information science, P203 GARFIELD E, 1955, SCIENCE, V122, P108 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400004 *Order Full Text [ ] Title: A comparison of journal similarity across six disciplines using citing discipline analysis Authors: Wolfram, D; Zhao, YH Author Full Names: Wolfram, Dietmar; Zhao, Yuehua Source: JOURNAL OF INFORMETRICS, 8 (4):840-853; 10.1016/j.joi.2014.08.003 OCT 2014 Language: English Document Type: Article Author Keywords: Journal similarity, Citer analysis, Citation analysis, Citing discipline analysis KeyWords Plus: PEARSONS CORRELATION-COEFFICIENT; COCITATION ANALYSIS; INFORMATION-SCIENCE; SCIENTIFIC JOURNALS; CITATION; INTERDISCIPLINARITY; CATEGORIES; MAPS Abstract: A similarity comparison is made between 120 journals from five allied Web of Science disciplines (Communication, Computer Science-Information Systems, Education & Educational Research, Information Science & Library Science, Management) and a more distant discipline (Geology) across three time periods using a novel method called citing discipline analysis that relies on the frequency distribution of Web of Science Research Areas for citing articles. Similarities among journals are evaluated using multidimensional scaling with hierarchical cluster analysis and Principal Component Analysis. The resulting visualizations and groupings reveal clusters that align with the discipline assignments for the journals for four of the six disciplines, but also greater overlaps among some journals for two of the disciplines or categorizations that do not necessarily align with their assigned disciplines. Some journals categorized into a single given discipline were found to be more closely aligned with other disciplines and some journals assigned to multiple disciplines more closely aligned with only one of the assigned disciplines. The proposed method offers a complementary way to more traditional methods such as journal co-citation analysis to compare journal similarity using data that are readily available through Web of Science. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: [Wolfram, Dietmar; Zhao, Yuehua] Univ Wisconsin, Sch Informat Studies, Milwaukee, WI 53201 USA. E-mail Addresses: dwolfram at uwm.edu; yuehua at uwm.edu Cited Reference Count: 36 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400004 Cited References: Boyack Kevin W., 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P2389 Chen CM, 2001, COMPUTER, V34, P65 Leydesdorff Loet, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P1810 Boerner Katy, 2012, PLOS ONE, V7, Leydesdorff L, 2006, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V57, P601 Leydesdorff Loet, 2007, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V58, P1303 Leydesdorff L., 1993, Scientometrics, V26, P133 Morris TA, 1998, JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, V5, P448 Ding Y, 2000, SCIENTOMETRICS, V47, P55 Tsay MY, 2003, SCIENTOMETRICS, V57, P7 White HD, 2000, WEB OF KNOWLEDGE - A FESTSCHRIFT IN HONOR OF EUGENE GARFIELD, P475 Bonnevie-Nebelong E, 2006, SCIENTOMETRICS, V66, P411 Boyack KW, 2005, SCIENTOMETRICS, V64, P351 Glanzel W, 2003, SCIENTOMETRICS, V56, P357 Rafols Ismael, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P1823 MCCAIN KW, 1991, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V42, P290 Leydesdorff Loet, 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P164 Ahlgren P, 2003, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V54, P550 White HD, 1998, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V49, P327 McCain KW, 1998, SCIENTOMETRICS, V41, P389 SMALL HG, 1979, SCIENTOMETRICS, V1, P445 Marion L. S., 2005, Proceedings of the American Society for Information Science and Technology, V42, White HD, 2001, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V52, P87 Spasser MA, 1997, SCIENTOMETRICS, V39, P77 Ajiferuke Isola, 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P2086 HINZE S, 1994, SCIENTOMETRICS, V29, P353 Egghe Leo, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P1027 Leydesdorff Loet, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P348 Wang F., Journal of the American Society for Information Science and Technology, Heimeriks G., 2001, Proceedings of the 8th international conference on scientometrics and informetrics-ISSI 2001, P705 Stephane T., 2011, Data mining and statistics for decision making, Leydesdorff Loet, 2013, SCIENTOMETRICS, V94, P589 Bonnevie-Nebelong Ellen, 2006, Journal of documentation, V62, P30 Pudovkin AI, 2002, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V53, P1113 Nisonger TE, 2005, COLLEGE & RESEARCH LIBRARIES, V66, P341 Leydesdorff Loet, 2006, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V57, P1616 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400009 *Order Full Text [ ] Title: Problems with the SNIP indicator Authors: Mingers, J Author Full Names: Mingers, John Source: JOURNAL OF INFORMETRICS, 8 (4):890-894; 10.1016/j.joi.2014.09.004 OCT 2014 Language: English Document Type: Letter KeyWords Plus: JOURNAL IMPACT FACTOR; CITATION ANALYSIS; TOOL Addresses: Univ Kent, Kent Business Sch, Canterbury CT2 7PE, Kent, England. E-mail Addresses: j.mingers at kent.ac.uk Cited Reference Count: 21 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400009 Cited References: Leydesdorff Loet, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P278 Moed Henk F., 2010, JOURNAL OF INFORMETRICS, V4, P436 GARFIELD E, 1979, SCIENTOMETRICS, V1, P359 Leydesdorff Loet, 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P2365 Mingers John, 2010, SCIENTOMETRICS, V85, P613 Opthof Tobias, 2010, JOURNAL OF INFORMETRICS, V4, P423 Van Raan Anthony F.J., 2003, Technikfolgenabschatzung, V1, P20 Leydesdorff L., 2010, Journal of the American Society for Information Science and Technology, V62, P214 Mingers J., 2008, JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, V59, P1013 GARFIELD E, 1972, SCIENCE, V178, P471 Leydesdorff Loet, 2011, JOURNAL OF INFORMETRICS, V5, P224 Moed H., 2007, Scoping study on the use of bibliometric analysis to measure the quality of research in UK higher education institutions. Report, Centre for Science and Technology Studies, Baumgartner Susanne E., 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P797 Moed Henk F., 2010, JOURNAL OF INFORMETRICS, V4, P265 Van Raan AFJ, 2005, SCIENTOMETRICSConference on Bibliometric Analysis in Science and Research, NOV 05-07, 2003, Julich, GERMANY, V62, P133 Zitt Michel, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P1856 Lariviere Vincent, 2006, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V57, P997 Mingers John, 2013, INFORMATION PROCESSING & MANAGEMENT, V49, P587 Waltman Ludo, 2013, JOURNAL OF INFORMETRICS, V7, P272 Leydesdorff Loet, 2013, JOURNAL OF INFORMETRICS, V7, P859 SCHUBERT A, 1986, SCIENTOMETRICS, V9, P281 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400006 *Order Full Text [ ] Title: On the citation lifecycle of papers with delayed recognition Authors: Lachance, C; Lariviere, V Author Full Names: Lachance, Christian; Lariviere, Vincent Source: JOURNAL OF INFORMETRICS, 8 (4):863-872; 10.1016/j.joi.2014.08.002 OCT 2014 Language: English Document Type: Article Author Keywords: Delayed recognition, Sleeping beauties, Citation lifecycle KeyWords Plus: SLEEPING-BEAUTIES; SCIENTIFIC LITERATURE; SCIENCE; DURABILITY; HUMANITIES Abstract: Delayed recognition is a concept applied to articles that receive very few to no citations for a certain period of time following publication, before becoming actively cited. To determine whether such a time spent in relative obscurity had an effect on subsequent citation patterns, we selected articles that received no citations before the passage of ten full years since publication, investigated the subsequent yearly citations received over a period of 37 years and compared them with the citations received by a group of papers without such a latency period. Our study finds that papers with delayed recognition do not exhibit the typical early peak, then slow decline in citations, but that the vast majority enter decline immediately after their first - and often only - citation. Middling papers' citations remain stable over their lifetime, whereas the more highly cited papers, some of which fall into the "sleeping beauty" subtype, show non-stop growth in citations received. Finally, papers published in different disciplines exhibit similar behavior and did not differ significantly. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: [Lachance, Christian; Lariviere, Vincent] Univ Montreal, Ecole Bibliothecon & Sci Informat, Montreal, PQ H3C 3J7, Canada. [Lariviere, Vincent] Univ Quebec, CIRST, OST, Montreal, PQ H3C 3P8, Canada. E-mail Addresses: christian.lachance.1 at umontreal.ca; vincent.lariviere at umontreal.ca Cited Reference Count: 18 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400006 Cited References: Heinze T., 2012, Journal of the American Society for Information Science and Technology, V64, P829 Li Jiang, 2014, JOURNAL OF INFORMETRICS, V8, P493 Wallace Matthew L., 2009, JOURNAL OF INFORMETRICS, V3, P296 Glanzel W, 2003, SCIENTOMETRICS, V58, P571 Levitt Jonathan M., 2008, SCIENTOMETRICS, V77, P41 Costas Rodrigo, 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P329 Li Jiang, 2014, SCIENTOMETRICS, V100, P595 Costas Rodrigo, 2013, RESEARCH POLICY, V42, P886 Finardi U., 2013, Journal of Informetrics, V8, P13 Lariviere Vincent, 2006, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V57, P997 van Dalen HP, 2005, SCIENTOMETRICS, V64, P209 Glanzel W, 2004, SCIENTIST, V18, P8 van Raan AFJ, 2004, SCIENTOMETRICS, V59, P467 Ponomarev Ilya V., 2014, TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, V81, P49 Braun Tibor, 2010, RESEARCH EVALUATION, V19, P195 COLE S, 1970, AMERICAN JOURNAL OF SOCIOLOGY, V76, P286 Lariviere Vincent, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P2437 Ohba N., 2011, Scientometrics, V93, P253 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400015 *Order Full Text [ ] Title: Bibliometric profile of top-cited single-author articles in the Science Citation Index Expanded Authors: Chuang, KY; Ho, YS Author Full Names: Chuang, Kun-Yang; Ho, Yuh-Shan Source: JOURNAL OF INFORMETRICS, 8 (4):951-962; 10.1016/j.joi.2014.09.008 OCT 2014 Language: English Document Type: Article Author Keywords: Web of science, SCI-EXPANDED, Bibliometric, Top-cited publication, Citations, Single-author articles KeyWords Plus: EQUAL CONTRIBUTIONS; JOURNALS; CREDIT; ELECTROPHORESIS; SCIENTISTS; PROTEINS; CRITERIA; GROWTH; PERIOD; ORDER Abstract: In this study, we identified and analyzed characteristics of top-cited single-author articles published in the Science Citation Index Expanded from 1991 to 2010. A top-cited single-author article was defined as an article that had been cited at least 1000 times from the time of its publication to 2012. Results showed that 1760 top-cited single-author articles were published in 539 journals listed in 130 Web of Science categories between 1901 and 2010. The top productive journal was Science and the most productive category was multidisciplinary physics. Most of the articles were not published in high-impact journals. Harvard University led all other institutions in publishing top-cited single-author articles. Nobel Prize winners contributed 7.0% of articles. In total, 72 Nobel Prize winners published 124 single-author articles. Single-authored papers published in different periods exhibited different patterns of citation trends. However, top-cited articles consistently showed repetitive peaks regardless of the time period of publication. "Theory (or theories)" was the most frequently appeared title word of all time. Leading title words varied at different time periods, and only five title words, method(s), protein(s), structure(s), molecular, and quantum consistently remained in the top 20 in different time periods. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: [Chuang, Kun-Yang] Taipei Med Univ, Sch Publ Hlth, Taipei 11014, Taiwan. [Ho, Yuh-Shan] Asia Univ, Trend Res Ctr, Wufeng 41354, Taichung County, Taiwan. E-mail Addresses: ysho at asia.edu.tw Cited Reference Count: 53 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400015 Cited References: DAVIS BJ, 1964, ANNALS OF THE NEW YORK ACADEMY OF SCIENCES, V121, P404 Ohba Norio, 2007, ARCHIVES OF OPHTHALMOLOGY, V125, P952 FELSENSTEIN J, 1985, EVOLUTION, V39, P783 Li Ling-li, 2009, SCIENTOMETRICS, V80, P39 SAMPSON ZJ, 1995, SCIENTOMETRICS, V32, P219 Ho Yuh-Shan, 2012, CHINESE JOURNAL OF CHEMICAL ENGINEERING, V20, P478 Coats Andrew J. S., 2009, INTERNATIONAL JOURNAL OF CARDIOLOGY, V131, P149 Savitz DA, 1999, AMERICAN JOURNAL OF EPIDEMIOLOGY, V149, P401 Picknett T, 1999, JOURNAL OF MOLECULAR BIOLOGY, V293, P173 [Anonymous], 2008, Lancet, V372, P778 Chiu W. 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E., 1980, Einstein: The first hundred years, P31 BECKE AD, 1993, JOURNAL OF CHEMICAL PHYSICS, V98, P5648 Ho Yuh-Shan, 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P372 IIJIMA S, 1991, NATURE, V354, P56 Wang Ming-Huang, 2011, DESALINATION AND WATER TREATMENT, V28, P353 Xie Shaodong, 2008, SCIENTOMETRICS, V77, P113 COX DR, 1972, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, V34, P187 Westrip Simon P., 2010, JOURNAL OF APPLIED CRYSTALLOGRAPHY, V43, P920 Chuang Kun-Yang, 2011, SCIENTOMETRICS, V87, P551 BRADFORD MM, 1976, ANALYTICAL BIOCHEMISTRY, V72, P248 Wulff G, 1901, ZEITSCHRIFT FUR KRYSTALLOGRAPHIE UND MINERALOGIE, V34, P449 Fu Hui-Zhen, 2012, JOURNAL OF COLLOID AND INTERFACE SCIENCE, V379, P148 Gisvold SE, 1999, ACTA ANAESTHESIOLOGICA SCANDINAVICA, V43, P971 Wang Fei, 2012, CRITICAL CARE MEDICINE, V40, P967 GARFIELD E, 1992, THEORETICAL MEDICINE, V13, P117 Walter G, 2003, MEDICAL JOURNAL OF AUSTRALIA, V178, P280 Rodriguez-Navarro Alonso, 2011, JOURNAL OF DOCUMENTATION, V67, P582 Sheldrick George M., 2008, ACTA CRYSTALLOGRAPHICA SECTION A, V64, P112 RENNIE D, 1994, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V271, P469 Smith Elise, 2011, AMERICAN JOURNAL OF BIOETHICS, V11, P24 Chuang Kun-Yang, 2013, MALAYSIAN JOURNAL OF LIBRARY & INFORMATION SCIENCE, V18, P47 SOUTHERN EM, 1975, JOURNAL OF MOLECULAR BIOLOGY, V98, P503 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400019 *Order Full Text [ ] Title: Is the new citation-rank approach P100 ' in bibliometrics really new? Authors: Schreiber, M Author Full Names: Schreiber, Michael Source: JOURNAL OF INFORMETRICS, 8 (4):997-1004; 10.1016/j.joi.2014.10.001 OCT 2014 Language: English Document Type: Article Author Keywords: Evaluation, Citation analysis, Highly cited publications, Bibliometric rankings, Percentiles KeyWords Plus: INDICATORS Abstract: The percentile-based rating scale P100 describes the citation impact in terms of the distribution of unique citation values. This approach has recently been refined by considering also the frequency of papers with the same citation counts. Here I compare the resulting P100' with P100 for an empirical dataset and a simple fictitious model dataset. It is shown that P100' is not much different from standard percentile-based ratings in terms of citation frequencies. A new indicator P100 '' is introduced. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: Tech Univ Chemnitz, Inst Phys, D-09107 Chemnitz, Germany. E-mail Addresses: schreiber at physik.tu-chemnitz.de Cited Reference Count: 10 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400019 Cited References: Schreiber Michael, 2013, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V64, P640 Rousseau Ronald, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P416 Leydesdorff Loet, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2349 Waltman Ludo, 2013, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V64, P372 Bornmann L., 2014, Journal of the Association for Information Science and Technology, V65, P1939 Leydesdorff Loet, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P2133 Schreiber Michael, 2014, JOURNAL OF INFORMETRICS, V8, P738 Leydesdorff Loet, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P1370 Bornmann Lutz, 2013, JOURNAL OF INFORMETRICS, V7, P933 Pudovkin A. I., 2009, CollNet Journal of Scientometrics and Information Management, V3, P3 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400007 *Order Full Text [ ] Title: How to improve the outcome of performance evaluations in terms of percentiles for citation frequencies of my papers Authors: Schreiber, M Author Full Names: Schreiber, Michael Source: JOURNAL OF INFORMETRICS, 8 (4):873-879; 10.1016/j.joi.2014.09.002 OCT 2014 Language: English Document Type: Article Author Keywords: Evaluation, Percentiles, Citation analysis, Bibliometric rankings KeyWords Plus: HIRSCH INDEX; IMPACT INDICATORS; EXCELLENCE; RANKS; P100 Abstract: Using empirical data I demonstrate that the result of performance evaluations by percentiles can be drastically influenced by the proper choice of the journal in which a manuscript is published. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: Tech Univ Chemnitz, Inst Phys, D-09107 Chemnitz, Germany. E-mail Addresses: schreiber at physik.tu-chemnitz.de Cited Reference Count: 26 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400007 Cited References: Leydesdorff Loet, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P2133 Bornmann L., 2013, Publications, V1, P78 Schreiber Michael, 2009, ANNALEN DER PHYSIK, V18, P607 Schreiber Michael, 2010, ANNALEN DER PHYSIK, V522, P536 Schreiber Michael, 2014, JOURNAL OF INFORMETRICS, V8, P738 Lewison Grant, 2007, BRITISH JOURNAL OF PSYCHIATRY, V190, P314 Schreiber Michael, 2008, SCIENTOMETRICS, V76, P187 Schreiber Michael, 2013, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V64, P861 Bornmann Lutz, 2013, JOURNAL OF INFORMETRICS, V7, P158 Pudovkin A. I., 2009, CollNet Journal of Scientometrics and Information Management, V3, P3 Schreiber Michael, 2007, ANNALEN DER PHYSIK, V16, P640 Leydesdorff Loet, 2013, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V64, P1076 Bornmann Lutz, 2012, JOURNAL OF INFORMETRICS, V6, P333 Bornmann Lutz, 2013, JOURNAL OF INFORMETRICS, V7, P933 Waltman Ludo, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2378 Leydesdorff Loet, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P1901 Leydesdorff Loet, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2349 Leydesdorff Loet, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P1370 Waltman Ludo, 2013, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V64, P372 Schreiber M., 2007, EPL, V78, Tijssen RJW, 2002, SCIENTOMETRICS, V54, P381 Schreiber Michael, 2008, NEW JOURNAL OF PHYSICS, V10, Schreiber Michael, 2013, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V64, P640 Rousseau Ronald, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P416 Schreiber Michael, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2062 Schreiber Michael, 2013, SCIENTOMETRICS, V97, P821 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400017 *Order Full Text [ ] Title: Distributions of citations of papers of individual authors publishing in different scientific disciplines: Application of Langmuir-type function Authors: Sangwal, K Author Full Names: Sangwal, Keshra Source: JOURNAL OF INFORMETRICS, 8 (4):972-984; 10.1016/j.joi.2014.09.009 OCT 2014 Language: English Document Type: Article Author Keywords: Citation analysis, Citation distribution, Langmuir-type function KeyWords Plus: RANK-ORDER DISTRIBUTION; ICEBERG HYPOTHESIS; RESEARCH OUTPUT; H-INDEX; IMPACT; LAW; UNIVERSALITY; STATISTICS; NETWORKS; BEHAVIOR Abstract: The distribution of cumulative citations L and contributed citations L-f to individual multi-authored papers published by selected authors working in different scientific disciplinesis analyzed and discussed using Langmuir-type function: y(n)=y(0)[1-alpha Kn/(1 + Kn)], where y(n)-denotes the total number of normalized cumulative citations l(n)* and normalized contributed citations l(nf)* received by individual papers of rank n, y(0) is the maximum value of y(n) when n = 0, alpha >= 1 is an effectiveness parameter, and K is the Langmuir constant related to the dimensionless differential energy Q = ln(KNc), with N-c as the number of papers receiving citations. Relationships between the values of the Langmuir constant K of the distribution function, the number N-c of papers of an individual author receiving citations and the effectiveness parameter alpha of this function, obtained from analysis of the data of rank size distributions of the authors, are investigated. It was found that: (1) the quantity KNc obtained from the real citation distribution of papers of various authors working in different disciplines is inversely proportional to (alpha-1) with a proportional constant (KNc)(0)< 1, (2) the relation KNc=(KNc)(0)/(alpha-1) also holds for the citation distribution of journals published in countries of two different groups, investigated earlier (Sangwal, K. (2013). Journal of Informetrics, 7, 487-504), and (3) deviations of the real citation distribution from curves predicted by the Langmuir-type function are associated with changing activity of sources of generation of items (citations). (C) 2014 Elsevier Ltd. All rights reserved. Addresses: Lublin Univ Technol, Dept Appl Phys, PL-20618 Lublin, Poland. E-mail Addresses: k.sangwal at pollub.pl Cited Reference Count: 45 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400017 Cited References: Egghe L., 2011, SCIENTOMETRICS, V87, P683 Redner S, 1998, EUROPEAN PHYSICAL JOURNAL B, V4, P131 Burrell QL, 2002, SCIENTOMETRICS, V53, P309 Burrell Quentin L., 2013, JOURNAL OF INFORMETRICS, V7, P774 Sornette D., 1998, European Physical Journal B, V8, P535 Redner S, 2005, PHYSICS TODAY, V58, P49 Rousseau R., 1990, Introduction to informetrics: Quantitative methods in library, documentation and information science, Abramo G., 2012, Journal of Informetrics, V6, P420 Guerrero-Bote Vicente P., 2007, SCIENTOMETRICS, V71, P423 Companario J. 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S., 2010, JOURNAL OF INFORMETRICS, V4, P1 Sangwal Keshra, 2013, JOURNAL OF INFORMETRICS, V7, P487 Mansilla R., 2007, JOURNAL OF INFORMETRICS, V1, P155 Iglesias Juan E., 2007, SCIENTOMETRICS, V73, P303 Tsallis C, 2000, EUROPEAN PHYSICAL JOURNAL B, V13, P777 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Assimakis N., 2010, SCIENTOMETRICS, V85, P415 Wallace Matthew L., 2009, JOURNAL OF INFORMETRICS, V3, P296 Lancho-Barrantes Barbara S., 2010, SCIENTOMETRICS, V85, P443 Perc Matjaz, 2010, JOURNAL OF INFORMETRICS, V4, P358 PRICE DD, 1981, SCIENCE, V212, P986 PRICE DJD, 1965, SCIENCE, V149, P510 Lundberg Jonas, 2007, JOURNAL OF INFORMETRICS, V1, P145 Radicchi Filippo, 2008, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V105, P17268 Tol Richard S. J., 2011, SCIENTOMETRICS, V89, P291 Clauset Aaron, 2009, SIAM REVIEW, V51, P661 de Araujo Antonio F. Pereira, 2008, SCIENTOMETRICS, V74, P425 Egghe L., 2011, INFORMATION PROCESSING & MANAGEMENT, V47, P238 Hodge S. E., 1981, Science, V212, P950 PRICE DJD, 1976, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V27, P292 Simkin Mikhail V., 2007, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V58, P1661 Egghe L., 2013, INFORMATION PROCESSING & MANAGEMENT, V49, P99 Alonso S., 2009, JOURNAL OF INFORMETRICS, V3, P273 Naumis G. G., 2007, NEW JOURNAL OF PHYSICS, V9, Burrell QL, 2001, SCIENTOMETRICS, V52, P3 Batista Pablo D., 2006, SCIENTOMETRICS, V68, P179 Gupta Hari M., 2008, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, V387, P6745 Kretschmer H, 2001, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V52, P610 VINKLER P, 1993, SCIENTOMETRICSEUROPEAN WORKSHOP ON SCIENTOMETRIC METHODS OF RESEARCH EVALUATION IN THE SCIENCES, SOCIAL SCIENCES AND TECHNOLOGY, APR 13-17, 1991, POTSDAM, GERMANY, V26, P213 Podlubny I, 2005, SCIENTOMETRICS, V64, P95 Barabasi AL, 1999, SCIENCE, V286, P509 Egghe Leo, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P2142 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400011 *Order Full Text [ ] Title: How robust are journal rankings based on the impact factor? Evidence from the economic sciences Authors: Seiler, C; Wohlrabe, K Author Full Names: Seiler, Christian; Wohlrabe, Klaus Source: JOURNAL OF INFORMETRICS, 8 (4):904-911; 10.1016/j.joi.2014.09.001 OCT 2014 Language: English Document Type: Article Author Keywords: Impact factor, Ranking, Skewness, Economics journals KeyWords Plus: RELIABILITY Abstract: It is well-known that the distribution of citations to articles in a journal is skewed. We ask whether journal rankings based on the impact factor are robust with respect to this fact. We exclude the most cited paper, the top 5 and 10 cited papers for 100 economics journals and recalculate the impact factor. Afterwards we compare the resulting rankings with the original ones from 2012. Our results show that the rankings are relatively robust. This holds both for the 2-year and the 5-year impact factor. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: [Seiler, Christian; Wohlrabe, Klaus] Univ Munich, Ifo Inst Econ Res, D-81679 Munich, Germany. E-mail Addresses: seiler at ifo.de; wohlrabe at ifo.de Cited Reference Count: 15 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400011 Cited References: Baum Joel A. C., 2011, ORGANIZATION, V18, P449 Wall Howard J., 2009, B E JOURNAL OF ECONOMIC ANALYSIS & POLICY, V9, Vanclay Jerome K., 2012, SCIENTOMETRICS, V92, P211 Moed Henk F., 2012, SCIENTOMETRICS, V92, P367 NIEUWENHUYSEN P, 1988, SCIENTOMETRICS, V13, P45 Seiler C., 2014, CESifo Working Paper Series, SEGLEN PO, 1992, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V43, P628 SCHUBERT A, 1983, SCIENTOMETRICS, V5, P59 Chen Kuan-Ming, 2014, JOURNAL OF INFORMETRICS, V8, P181 Leydesdorff Loet, 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P2365 Opthof T, 1997, CARDIOVASCULAR RESEARCH, V33, P1 Greenwood Darren C., 2007, BMC MEDICAL RESEARCH METHODOLOGY, V7, Stern David I., 2013, JOURNAL OF ECONOMIC LITERATURE, V51, P173 FOLLY G, 1981, SCIENTOMETRICS, V3, P135 Archambault Eric, 2009, SCIENTOMETRICS, V79, P635 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400016 *Order Full Text [ ] Title: Regression for citation data: An evaluation of different methods Authors: Thelwall, M; Wilson, P Author Full Names: Thelwall, Mike; Wilson, Paul Source: JOURNAL OF INFORMETRICS, 8 (4):963-971; 10.1016/j.joi.2014.09.011 OCT 2014 Language: English Document Type: Article Author Keywords: Informetrics, Altmetrics, Citation distributions, Lognormal, Powerlaw, Regression KeyWords Plus: INTERNATIONAL COLLABORATION; SELF-CITATION; IMPACT; ARTICLES; DISTRIBUTIONS; METRICS; COUNTS; NUMBER; CLASSIFICATION; DETERMINANTS Abstract: Citations are increasingly used for research evaluations. It is therefore important to identify factors affecting citation scores that are unrelated to scholarly quality or usefulness so that these can be taken into account. Regression is the most powerful statistical technique to identify these factors and hence it is important to identify the best regression strategy for citation data. Citation counts tend to follow a discrete lognormal distribution and, in the absence of alternatives, have been investigated with negative binomial regression. Using simulated discrete lognormal data (continuous lognormal data rounded to the nearest integer) this article shows that a better strategy is to add one to the citations, take their log and then use the general linear (ordinary least squares) model for regression (e. g., multiple linear regression, ANOVA), or to use the generalised linear model without the log. Reasonable results can also be obtained if all the zero citations are discarded, the log is taken of the remaining citation counts and then the general linear model is used, or if the generalised linear model is used with the continuous lognormal distribution. Similar approaches are recommended for altmetric data, if it proves to be lognormally distributed. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: [Thelwall, Mike; Wilson, Paul] Wolverhampton Univ, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wolverhampton WV1 1LY, W Midlands, England. E-mail Addresses: m.thelwall at wlv.ac.uk; PaulJWilson at wlv.ac.uk Cited Reference Count: 74 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400016 Cited References: PETERS HPF, 1994, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V45, P39 McDonald John D., 2007, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V58, P39 He Zi-Lin, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P2151 Aksnes DW, 2003, RESEARCH EVALUATION, V12, P159 Golosovsky M., 2012, EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, V205, P303 Sin S. C. J., 2011, Journal of the American Society forInformation Science and Technology, V62, P1770 Radicchi Filippo, 2008, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V105, P17268 Butler L, 2003, RESEARCH POLICY8th International Conference on Scientometrics and Informetrics, JUL 16-20, 2001, SYDNEY, AUSTRALIA, V32, P143 Mohammadi Ehsan, 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P1627 MERTON RK, 1968, SCIENCE, V159, P56 Sooryamoorthy Radhamany, 2009, SCIENTOMETRICS, V81, P177 Willis Daniel L., 2011, BJU INTERNATIONAL, V107, P1876 Kousha Kayvan, 2014, BEYOND BIBLIOMETRICS: HARNESSING MULTIDIMENSIONAL INDICATORS OF SCHOLARLY IMPACT, P289 Xia Jingfeng, 2012, ONLINE INFORMATION REVIEW, V36, P40 Shema Hadas, 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P1018 Mryglod O., 2013, SCIENTOMETRICS, V97, P767 Dobson A. J., 2008, An introduction to generalized linear models, Thelwall M., 2014, Journal of theAssociation for Information Science and Technology, Evans T. S., 2012, SCIENTOMETRICS, V93, P473 Abramo Giovanni, 2013, SCIENTOMETRICS, V95, P311 Yoshikane Fuyuki, 2013, SCIENTOMETRICS, V96, P365 Priem J., 2010, Altmetrics: A manifesto, Hilbe J., 2011, Negative binomial regression, Tabachnick B.G., 2001, Using Multivariate Statistics, Yu Tian, 2014, JOURNAL OF INFORMETRICS, V8, P123 ARC, 2014, Excellence in Research for Australia (ERA, STEWART JA, 1983, SOCIAL FORCES, V62, P166 Adie Euan, 2013, LEARNED PUBLISHING, V26, P11 Thelwall Mike, 2013, PLOS ONE, V8, Baumgartner Susanne E., 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P797 Yao Zheng, 2014, JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, AITCHISON J, 1989, BIOMETRIKA, V76, P643 Walters Glenn D., 2006, SCIENTOMETRICS, V69, P499 Millar RB, 2011, MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE: WITH EXAMPLES IN R, SAS AND ADMB, P1 de Solla Price D., 1965, Science, V169, P510 Foo Jong Yong Abdiel, 2014, ACCOUNTABILITY IN RESEARCH-POLICIES AND QUALITY ASSURANCE, V21, P198 Didegah Fereshteh, 2013, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V64, P1055 Abramo Giovanni, 2011, SCIENTOMETRICS, V89, P929 Almind TC, 1997, JOURNAL OF DOCUMENTATION, V53, P404 Didegah Fereshteh, 2013, JOURNAL OF INFORMETRICS, V7, P861 ACUMEN, 2014, Guidelines for good evaluation practice with the ACUMEN Portfolio, Franceschet Massimo, 2011, JOURNAL OF INFORMETRICS, V5, P275 Tang Li, 2013, JOURNAL OF INFORMETRICS, V7, P330 Van Raan AFJ, 1998, SCIENTOMETRICS, V42, P423 Zahedi Zohreh, 2014, SCIENTOMETRICS, V101, P1491 Kutlar A., 2013, Scientometrics, V97, P639 Dragos Cristian Mihai, 2014, CURRENT SCIENCE, V106, P942 Baldi S, 1998, AMERICAN SOCIOLOGICAL REVIEW, V63, P829 SEGLEN PO, 1992, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V43, P628 Butler Linda, 2011, EUROPEAN POLITICAL SCIENCE, V10, P44 Aksnes Dag W., 2013, RESEARCH EVALUATION, V22, P215 Thelwall Mike, 2014, JOURNAL OF INFORMETRICS, V8, P824 MacRoberts MH, 1996, SCIENTOMETRICS, V36, P435 Stasinopoulos DM, 2007, J Stat Softw, V23, P1 Yan Koon-Kiu, 2011, PLOS ONE, V6, Yitzhaki M, 1998, SCIENTOMETRICS6th Conference of the International-Society-for-Scientometrics-and-Informetrics, JUN 16-19, 1997, JERUSALEM, ISRAEL, V41, P243 Wu Jiang, 2013, JOURNAL OF INFORMETRICS, V7, P63 Priem Jason, 2014, BEYOND BIBLIOMETRICS: HARNESSING MULTIDIMENSIONAL INDICATORS OF SCHOLARLY IMPACT, P263 Mohammadi Ehsan, 2013, SCIENTOMETRICS, V97, P383 Borgman C., 2002, V36, McCain Katherine W., 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2129 Leydesdorff Loet, 2006, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V57, P1470 Waltman Ludo, 2011, JOURNAL OF INFORMETRICS, V5, P37 Bornmann Lutz, 2013, JOURNAL OF INFORMETRICS, V7, P562 Anderson D. L., 2013, New Zealand Economic Papers, V47, P140 Li Xue Feng, 2011, SPINE, V36, PE1245 Chen Chaomei, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P431 Rigby John, 2013, SCIENTOMETRICS, V94, P57 Piwowar H., 2013, Bulletin of the American Society for Information Science and Technology, V39, Cole J. R., 2000, The Web of Knowledge: A Festschrift in Honorof Eugene Garfield, Merton R., 1973, The sociology of science: Theoretical and empirical investigations, Stringer Michael J., 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P1377 REF, 2013, Citation data, Mavros Michael N., 2013, SCIENTOMETRICS, V94, P203 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400018 *Order Full Text [ ] Title: The correlation between citation-based and expert-based assessments of publication channels: SNIP and SJR vs. Norwegian quality assessments Authors: Ahlgren, P; Waltman, L Author Full Names: Ahlgren, Per; Waltman, Ludo Source: JOURNAL OF INFORMETRICS, 8 (4):985-996; 10.1016/j.joi.2014.09.010 OCT 2014 Language: English Document Type: Article Author Keywords: Citation impact, Field normalization, Norwegian model, RIP, SJR2, SNIP KeyWords Plus: JOURNAL IMPACT FACTOR; FIELD-NORMALIZATION; INDICATOR; PERFORMANCE Abstract: We study the correlation between citation-based and expert-based assessments of journals and series, which we collectively refer to as sources. The source normalized impact per paper (SNIP), the Scimago Journal Rank 2 (SJR2) and the raw impact per paper (RIP) indicators are used to assess sources based on their citations, while the Norwegian model is used to obtain expert-based source assessments. We first analyze - within different subject area categories and across such categories - the degree to which RIP, SNIP and SJR2 values correlate with the quality levels in the Norwegian model. We find that sources at higher quality levels on average have substantially higher RIP, SNIP, and SJR2 values. Regarding subject area categories, SNIP seems to perform substantially better than SJR2 from the field normalization point of view. We then compare the ability of RIP, SNIP and SJR2 to predict whether a source is classified at the highest quality level in the Norwegian model or not. SNIP and SJR2 turn out to give more accurate predictions than RIP, which provides evidence that normalizing for differences in citation practices between scientific fields indeed improves the accuracy of citation indicators. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: [Ahlgren, Per] Stockholm Univ, Univ Lib, SE-10691 Stockholm, Sweden. [Waltman, Ludo] Leiden Univ, Ctr Sci & Technol Studies CWTS, NL-2300 AX Leiden, Netherlands. E-mail Addresses: per.ahlgren at sub.su.se; waltmanlr at cwts.leidenuniv.nl Cited Reference Count: 34 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400018 Cited References: Schneider Jesper W., 2009, EUROPEAN POLITICAL SCIENCE, V8, P364 Yan Erjia, 2014, JOURNAL OF INFORMETRICS, V8, P295 Gonzalez-Pereira Borja, 2010, JOURNAL OF INFORMETRICS, V4, P379 Vanclay Jerome K., 2011, JOURNAL OF INFORMETRICS, V5, P265 Glaenzel Wolfgang, 2011, SCIENTOMETRICS, V87, P415 Yan E, 2010, Measuring scholarly impact: Methods and practice, Waltman Ludo, 2013, SCIENTOMETRICS, V96, P699 Serenko Alexander, 2011, JOURNAL OF INFORMETRICS, V5, P629 Butler Linda, 2011, JOURNAL OF INFORMETRICS, V5, P693 Ahlgren Per, 2012, SCIENTOMETRICS, V92, P767 BRAUN T, 1990, SCIENTOMETRICS, V19, P513 Waltman Ludo, 2011, SCIENTOMETRICS, V87, P467 Waltman Ludo, 2011, JOURNAL OF INFORMETRICS, V5, P37 Ahlgren P., 2014, Proceedings of the 19th International conference on science and technology indicators, P6 Garfield E, 2006, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V295, P90 MOED HF, 1995, SCIENTOMETRICS, V33, P381 Waltman Ludo, 2014, Journal of the Association for Information Science and Technology, V65, P433 van Eck Nees Jan, 2013, PLOS ONE, V8, Sivertsen G, 2010, ISSI Newsletter, V6, P22 Moed H. F., 2005, Citation analysis in research evaluation, Adams Jonathan, 2008, SCIENTOMETRICS, V75, P81 Zitt Michel, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P1856 Fawcett T, 2006, PATTERN RECOGNITION LETTERS, V27, P861 Neuhaus Christoph, 2009, SCIENTOMETRICS, V78, P219 Waltman Ludo, 2013, JOURNAL OF INFORMETRICS, V7, P272 Guerrero-Bote Vicente P., 2012, JOURNAL OF INFORMETRICS, V6, P674 van Leeuwen Thed N., 2012, RESEARCH EVALUATION, V21, P61 Zitt M, 2005, SCIENTOMETRICS, V63, P373 Archambault Eric, 2011, PROCEEDINGS OF ISSI 2011: THE 13TH CONFERENCE OF THE INTERNATIONAL SOCIETY FOR SCIENTOMETRICS AND INFORMETRICS, VOLS 1 AND 213th Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI), JUL 04-07, 2011, Durban, SOUTH AFRICA, P66 Leydesdorff Loet, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P217 Zitt Michel, 2010, JOURNAL OF INFORMETRICS, V4, P392 Janssens Frizo, 2009, INFORMATION PROCESSING & MANAGEMENT, V45, P683 Moed Henk F., 2010, JOURNAL OF INFORMETRICS, V4, P265 vanRaan AFJ, 1996, SCIENTOMETRICS, V36, P397 ======================================================================= *Record 64 of 102. *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400002 *Order Full Text [ ] Title: CitNetExplorer: A new software tool for analyzing and visualizing citation networks Authors: van Eck, NJ; Waltman, L Author Full Names: van Eck, Nees Jan; Waltman, Ludo Source: JOURNAL OF INFORMETRICS, 8 (4):802-823; 10.1016/j.joi.2014.07.006 OCT 2014 Language: English Document Type: Article Author Keywords: Citation network, CitNetExplorer, Computer software, Network analysis, Visualization KeyWords Plus: TRAJECTORIES; KNOWLEDGE; ALGORITHM; SCIENCE Abstract: We present CitNetExplorer, a new software tool for analyzing and visualizing citation networks of scientific publications. CitNetExplorer can for instance be used to study the development of a research field, to delineate the literature on a research topic, and to support literature reviewing. We first introduce the main concepts that need to be understood when working with CitNetExplorer. We then demonstrate CitNetExplorer by using the tool to analyze the scientometric literature and the literature on community detection in networks. Finally, we discuss some technical details on the construction, visualization, and analysis of citation networks in CitNetExplorer. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: [van Eck, Nees Jan; Waltman, Ludo] Leiden Univ, Ctr Sci & Technol Studies, NL-2300 RA Leiden, Netherlands. E-mail Addresses: ecknjpvan at cwts.leidenuniv.nl; waltmanlr at cwts.leidenuniv.nl Cited Reference Count: 28 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400002 Cited References: Larsen B, 2002, SCIENTOMETRICS, V54, P155 SEIDMAN SB, 1983, SOCIAL NETWORKS, V5, P269 Cobo M. J., 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P1382 Mina A., 2007, RESEARCH POLICY, V36, P789 Small H, 1999, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V50, P799 Zhang Lin, 2011, JOURNAL OF INFORMETRICS, V5, P583 Clough J. R., 2013, arXiv:1310.8224, Waltman Ludo, 2013, EUROPEAN PHYSICAL JOURNAL B, V86, Blondel Vincent D., 2008, JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, Garfield E, 2003, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V54, P400 Garfield E, 2004, JOURNAL OF INFORMATION SCIENCEColloquium on Mapping Knowledge Domains, MAY 09-11, 2003, Irvine, CA, V30, P119 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Barbera-Tomas D., 2011, Research Policy, V40, P473 van Eck Nees Jan, 2010, SCIENTOMETRICS, V84, P523 van Eck Nees Jan, 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P2405 HUMMON NP, 1989, SOCIAL NETWORKS, V11, P39 Waltman Ludo, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2378 Newman MEJ, 2004, PHYSICAL REVIEW E, V69, Newman MEJ, 2004, PHYSICAL REVIEW E, V69, Fortunato Santo, 2010, PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, V486, P75 Verspagen Bart, 2007, ADVANCES IN COMPLEX SYSTEMS, V10, P93 Waltman Ludo, 2010, JOURNAL OF INFORMETRICS, V4, P629 Borner K., 2010, Atlas of science: Visualizing what we know, CAWKELL AE, 1974, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V25, P123 Healy P., 2013, P409 Van Eck N. J., 2014, Measuring scholarly impact: Methodsand practice, Zitt Michel, 2006, INFORMATION PROCESSING & MANAGEMENT, V42, P1513 Garfield Eugene, 2009, JOURNAL OF INFORMETRICS11th International Conference of the International-Society-for-Scientometrics-and-Informetrics, JUN 25-27, 2007, Madrid, SPAIN, V3, P173 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400012 *Order Full Text [ ] Title: Chinese-language articles are not biased in citations: Evidences from Chinese-English bilingual journals in Scopus and Web of Science Authors: Li, J; Qiao, L; Li, WYZ; Jin, YD Author Full Names: Li, Jiang; Qiao, Lili; Li, Wenyuze; Jin, Yidan Source: JOURNAL OF INFORMETRICS, 8 (4):912-916; 10.1016/j.joi.2014.09.003 OCT 2014 Language: English Document Type: Article Author Keywords: Language bias, Chinese-language article, Chinese-English bilingual journal, Knowledge diffusion, Scopus, Web of Science KeyWords Plus: INTERNATIONAL VISIBILITY; PUBLICATIONS; SAMPLE; TWINS Abstract: This paper examined the citation impact of Chinese- and English-language articles in Chinese-English bilingual journals indexed by Scopus and Web of Science (WoS). Two findings were obtained from comparative analysis: (1) Chinese-language articles were not biased in citations compared with English-language articles, since they received a large number of citations from Chinese scientists; (2) a Chinese-language community was found in Scopus, in which Chinese-language articles mainly received citations from Chinese-language articles, but it was not found in WoS whose coverage of Chinese-language articles is only one-tenth of Scopus. The findings suggest some implications for academic evaluation of journals including Chinese-language articles in Scopus and WoS. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: [Li, Jiang; Qiao, Lili; Li, Wenyuze; Jin, Yidan] Zhejiang Univ, Dept Informat Resource Management, Hangzhou 310058, Zhejiang, Peoples R China. E-mail Addresses: li-jiang at zju.edu.cn Cited Reference Count: 17 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400012 Cited References: GARFIELD E, 1955, SCIENCE, V122, P108 Davarpana Mohammad Reza, 2009, ASLIB PROCEEDINGS, V61, P407 Siegel S, 1988, Nonparametric statistics for the behavioral sciences, van Leeuwen TN, 2000, RESEARCH EVALUATION, V9, P155 Garfield E., 1963, Genetics Citation Index: Experimental citation indexes to genetics with special emphasis on human genetics, Ashenfelter O, 1998, QUARTERLY JOURNAL OF ECONOMICS, V113, P253 van Leeuwen TN, 2001, SCIENTOMETRICS6th International Conference on Science and Technology Indicators, MAY 24-27, 2000, LEIDEN, NETHERLANDS, V51, P335 ASHENFELTER O, 1994, AMERICAN ECONOMIC REVIEW, V84, P1157 Wen T., 2011, Library and Information, V0, P21 Garfield E., 1976, The Information Scientist, V12, P19 Ren SL, 2002, SCIENTOMETRICS, V53, P389 Liang Liming, 2013, SCIENTOMETRICS, V95, P333 Bornmann Lutz, 2012, JOURNAL OF INFORMETRICS, V6, P11 Brillouin L., 1956, Science and information theory, Lin Min-Wei, 2007, SCIENTOMETRICS, V70, P555 Yitzhaki M., 1988, Informetrics, V87/88, P301 GARFIELD E, 1976, NATURE, V264, P609 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400003 *Order Full Text [ ] Title: Distributions for cited articles from individual subjects and years Authors: Thelwall, M; Wilson, P Author Full Names: Thelwall, Mike; Wilson, Paul Source: JOURNAL OF INFORMETRICS, 8 (4):824-839; 10.1016/j.joi.2014.08.001 OCT 2014 Language: English Document Type: Article Author Keywords: Citation distribution, Power law, Hooked power law, Lognormal distribution, Citation analysis KeyWords Plus: CITATION DISTRIBUTIONS; UNIVERSALITY; NETWORKS; SCORES; IMPACT; WEB Abstract: The citations to a set of academic articles are typically unevenly shared, with many articles attracting few citations and few attracting many. It is important to know more precisely how citations are distributed in order to help statistical analyses of citations, especially for sets of articles from a single discipline and a small range of years, as normally used for research evaluation. This article fits discrete versions of the power law, the lognormal distribution and the hooked power law to 20 different Scopus categories, using citations to articles published in 2004 and ignoring uncited articles. The results show that, despite its popularity, the power law is not a suitable model for collections of articles from a single subject and year, even for the purpose of estimating the slope of the tail of the citation data. Both the hooked power law and the lognormal distributions fit best for some subjects but neither is a universal optimal choice and parameter estimates for both seem to be unreliable. Hence only the hooked power law and discrete lognormal distributions should be considered for subject-and-year-based citation analysis in future and parameter estimates should always be interpreted cautiously. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: [Thelwall, Mike; Wilson, Paul] Wolverhampton Univ, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wolverhampton WV1 1LY, W Midlands, England. E-mail Addresses: m.thelwall at wlv.ac.uk; PaulJWilson at wlv.ac.uk Cited Reference Count: 26 Times Cited: 1 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400003 Cited References: Amin M., 2000, Perspectives in Publishing, V1, P1 Clauset Aaron, 2009, SIAM REVIEW, V51, P661 Glaenzel Wolfgang, 2007, JOURNAL OF INFORMETRICS, V1, P92 Vuong Q. H., 1989, Econometrica: Journal of the Econometric Society, P307 MERTON RK, 1968, SCIENCE, V159, P56 PETERS HPF, 1994, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V45, P39 Radicchi Filippo, 2008, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V105, P17268 Waltman Ludo, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P72 PRICE DJD, 1965, SCIENCE, V149, P510 Redner S, 1998, EUROPEAN PHYSICAL JOURNAL B, V4, P131 Radicchi Filippo, 2012, PLOS ONE, V7, Adamic LA, 2000, SCIENCE, V287, Pennock DM, 2002, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V99, P5207 Newman MEJ, 2001, PHYSICAL REVIEW E, V64, Didegah Fereshteh, 2013, JOURNAL OF INFORMETRICS, V7, P861 Downey AB, 2001, NINTH INTERNATIONAL SYMPOSIUM ON MODELING, ANALYSIS AND SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS, PROCEEDINGS9th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2001), AUG 15-18, 2001, CINCINNATI, OH, P361 Barabasi AL, 1999, SCIENCE, V286, P509 GARFIELD E, 1987, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V257, P52 Ruiz-Castillo Javier, 2013, SCIENTOMETRICS, V96, P173 Case DO, 2000, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V51, P635 Albarran Pedro, 2011, SCIENTOMETRICS, V88, P385 Mitzenmacher M., 2004, Internet Mathematics, V1, P226 Wilks SS, 1938, ANNALS OF MATHEMATICAL STATISTICS, V9, P60 Wen Y. L., 2013, Journal of Educational Media & Library Sciences, V51, P219 De Moya-Anegon Felix, 2007, SCIENTOMETRICS, V73, P53 Hilbe J., 2011, Negative binomial regression, ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345752800024 *Order Full Text [ ] Title: A Bibliometric Study of Community Pharmacy-Based Research Activity in Middle Eastern Arab Countries: 2003-2012 Authors: Sweileh, WM; Zyoud, SH; Sawalha, AF; Al-Jabi, SW Author Full Names: Sweileh, Waleed M.; Zyoud, Sa'ed H.; Sawalha, Ansam F.; Al-Jabi, Samah W. Source: TROPICAL JOURNAL OF PHARMACEUTICAL RESEARCH, 13 (9):1549-1554; 10.4314/tjpr.v13i9.24 SEP 2014 Language: English Document Type: Article Author Keywords: Community pharmacy, Middle East, Bibliometric review Abstract: Purpose: To analyze community pharmacy based research in Arab countries. Methods: Comprehensive review of the literature indexed by Scopus was conducted. Data from Jan 01, 2003 till December 31, 2013 was searched for documents with specific words pertaining to "community pharmacy" in any one of the 13 Middle Eastern Arab countries. The quality of publication was assessed using h-index obtained from Scopus and Impact Factor (IF) obtained from Journal Citation Report (JCR) Results: A total of 93 documents were retrieved with an h-index of 9. Thirty eight documents (40.9 %) were published in journals not listed in JCR and therefore had no IF. The sum of the IF of the 93 documents was 64.9 with a mean of 1.3 +/- 2.01. The total number of citations was 338 with a mean of 3.6 +/- 6.4 citations per document. The highest community pharmacy-based research was from Kingdom of Saudi Arabia (KSA) (32.3 %) followed by United Arab Emirates (UAE) (17.2 %), Jordan (16.1 %), Kuwait (11.8 %) and Qatar (10.8 %). International cooperation was highest with Malaysia (9.7 %) followed by Pakistan (7.5 %), United Kingdom (UK) (8.6 %), and Australia (6.5 %). Conclusion: The quantity and quality of community pharmacy-based research originating from Middle Eastern Arab countries was low. More effort is needed to bridge the gap in community pharmacy-based research and to promote better community pharmacy services in Middle Eastern Arab countries. Addresses: [Sweileh, Waleed M.; Zyoud, Sa'ed H.; Sawalha, Ansam F.] An Najah Natl Univ, Coll Med & Hlth Sci, Dept Pharmacol Toxicol, Nablus, Israel. [Al-Jabi, Samah W.] An Najah Natl Univ, Coll Med & Hlth Sci, Dept Clin Pharm & Pharmacotherapy, Nablus, Israel. E-mail Addresses: waleedsweileh at yahoo.com ResearcherID Numbers: ezeluomba, ndubuisi/O-2495-2014 ORCID Numbers: ezeluomba, ndubuisi/0000-0002-6547-9011 Cited Reference Count: 10 Times Cited: 0 Publisher: PHARMACOTHERAPY GROUP, UNIV BENIN, FACULTY PHARMACY, BENIN CITY, 00000, NIGERIA ISSN: 1596-5996 Web of Science Categories: Pharmacology & Pharmacy Research Areas: Pharmacology & Pharmacy IDS Number: AU7AL Unique ID: WOS:000345752800024 Cited References: Hamoudi NM, Indian Journal of Pharmaceutical Sciences, V73, P404 Basak SC, South Med Rev, V3, P7 Sokar-Todd HB, 2003, Can Pharm J, V136, P26 Wazaify Mayyada, 2008, PHARMACY WORLD & SCIENCE, V30, P884 Hasan S, International Journal of Pharmacy Practice, V19, P392 Bawazir S. A., 2006, Saudi Pharmaceutical Journal, V14, P75 Scopus, SciVerse Scopus fact sheet, Awad A, Pharmacy World and Science, V32, P146 Al-Hassan M. I., 2009, Research Journal of Medical Sciences, V3, P111 Bawazir SA, 2004, International Journal of Pharmacy Practice, V12, P83 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345587800012 *Order Full Text [ ] Title: Antineutrophil cytoplasmic antibody-associated vasculitides: a scientometric approach visualizing worldwide research activity Authors: Gerber, A; Klingelhoefer, D; Groneberg, D; Bundschuh, M Author Full Names: Gerber, Alexander; Klingelhoefer, Doris; Groneberg, David; Bundschuh, Matthias Source: INTERNATIONAL JOURNAL OF RHEUMATIC DISEASES, 17 (7):794-802; 10.1111/1756-185X.12376 SEP 2014 Language: English Document Type: Article Author Keywords: antineutrophil cytoplasmic antibody, bias, citation, scientometria, vasculitis KeyWords Plus: IMPACT FACTOR; MAINTENANCE; RITUXIMAB; JOURNALS; INDEX Abstract: Aim: To provide a critical evaluation of quality and quantity regarding scientific efforts on antineutrophil cytoplasmic antibody (ANCA)-associated vasculitides (AAV) during the past 20 years. Method: Scientometric benchmark procedures, density-equalizing mapping and large-scale data analysis were used to visualize bi- and multilateral research cooperation and institutional collaborations, and to identify the most successful countries, institutions, authors and journals concerned with AAV. Results: The USA are the most productive supplier and have established their position as center of international cooperation with 22.5% of all publications, followed by Germany, the United Kingdom, France and Japan, respectively. The most successful international cooperation proved to be the one between the USA, Germany and the UK. A distinct global pattern of research productivity and citation activity was revealed, with the USA and Germany holding both the highest h-index and the highest number of total citations, but Denmark, Sweden and the Netherlands leading with regards to the citation rate. Some large and productive countries such as Japan, China and Turkey show only a few international cooperations. Conclusion: The present study represents the first detailed scientometric analysis and visualization of research quality and quantity on 'ANCA-associated vasculitides'. It was shown that scientometric indicators such as h-index, citation rate and impact factor, commonly used for assessment of scientific quality, have to be seen critically due to distortion by self-citation, co-authorship and language bias. Countries with considerable numbers of patients should enhance international collaboration behavior for the benefit of international scientific and clinical progress. Addresses: [Gerber, Alexander; Klingelhoefer, Doris; Groneberg, David; Bundschuh, Matthias] Goethe Univ Frankfurt, Inst Occupat Social & Environm Med, D-60590 Frankfurt, Germany. E-mail Addresses: gerber at med.uni-frankfurt.de Cited Reference Count: 16 Times Cited: 1 Publisher: WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA ISSN: 1756-1841 eISSN: 1756-185X Web of Science Categories: Rheumatology Research Areas: Rheumatology IDS Number: AU4NI Unique ID: WOS:000345587800012 PubMed ID: 24702861 Cited References: Holle J. U., 2013, ZEITSCHRIFT FUR RHEUMATOLOGIE, V72, P445 Mueller Paul S., 2006, SWISS MEDICAL WEEKLY, V136, P441 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Hirsch J. E., 2007, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V104, P19193 Mohebbi M. R., 2008, INDIAN PEDIATRICS, V45, P604 Groneberg David A., 2011, INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS, V10, Gastner MT, 2004, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V101, P7499 Bartneck Christoph, 2011, SCIENTOMETRICS, V87, P85 Cartin-Ceba Rodrigo, 2012, ARTHRITIS AND RHEUMATISM, V64, P3770 Smith Rona M., 2012, ARTHRITIS AND RHEUMATISM, V64, P3760 Andersen Julia, 2006, Journal of Microbiology Immunology and Infection, V39, P436 Hellmich Bernhard, 2007, ANNALS OF THE RHEUMATIC DISEASES, V66, P605 GARFIELD E, 1986, ANNALS OF INTERNAL MEDICINE, V105, P313 Haug Charlotte, 2006, Tidsskrift for den Norske l?geforening : tidsskrift for praktisk medicin, ny r?kke, V126, P429 Kulkarni Abhaya V., 2011, PLOS ONE, V6, Jennette J. C., 2013, ARTHRITIS AND RHEUMATISM, V65, P1 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345545600001 *Order Full Text [ ] Title: Professor Claudiu Supuran, a Highly Cited Chemist and Biochemist Authors: Balaban, AT Author Full Names: Balaban, Alexandru T. Source: REVISTA DE CHIMIE, 65 (7):741-743; JUL 2014 Language: English Document Type: Article KeyWords Plus: CARBONIC-ANHYDRASE ACTIVATORS; AMINO-ACID DERIVATIVES; PYRYLIUM-SALTS; PYRIDINIUM SALTS; TOPOLOGICAL INDEXES; II ACTIVATION; ISOZYME-II; INHIBITORS; QSAR; SULFONAMIDES Abstract: The Hirsch index h measures scientific achievement or research output based on the numbers of publications and citations. The present author's index h has been considerably exceeded by the h index of one of his Ph. D. students, Claudiu Supuran, who is at present Professor at the Universita degli Studi, Florence, Italy. Professor Supuran's research activity is centered on selective inhibitors and activators of carbonic anhydrase isoforms, with various applications in the fight against various diseases such as glaucoma, epilepsy, gastric and duodenal ulcers, migraine, and cancer. Addresses: Texas A&M Univ, Galveston, TX 77551 USA. Cited Reference Count: 24 Times Cited: 0 Publisher: CHIMINFORM DATA S A, CALEA PLEVNEI NR 139, SECTOR 6, BUCHAREST R-77131, ROMANIA ISSN: 0034-7752 Web of Science Categories: Chemistry, Multidisciplinary; Engineering, Chemical Research Areas: Chemistry; Engineering IDS Number: AU3YD Unique ID: WOS:000345545600001 Cited References: Balaban AT, 2005, BIOORGANIC & MEDICINAL CHEMISTRY LETTERS, V15, P3966 Guezel Oezlen, 2009, BIOORGANIC & MEDICINAL CHEMISTRY LETTERS, V19, P2931 Guzel Ozlen, 2009, JOURNAL OF MEDICINAL CHEMISTRY, V52, P4063 Balaban Alexandru T., 2004, MOLECULAR DIVERSITY, V8, P401 2008, V2, SUPURAN CT, 1992, REVUE ROUMAINE DE CHIMIE, V37, P1375 SUPURAN CT, 1993, BIOLOGICAL & PHARMACEUTICAL BULLETIN, V16, P1236 Khadikar Padmakar V., 2006, REVUE ROUMAINE DE CHIMIE, V51, P703 SUPURAN C, 1990, REVUE ROUMAINE DE CHIMIE, V35, P399 SUPURAN CT, 1992, JOURNAL OF PHARMACEUTICAL SCIENCES, V81, P716 Supuran C. T., 2003, Medicinal Research Reviews, V19, P199 Supuran Claudiu T., 2008, NATURE REVIEWS DRUG DISCOVERY, V7, P168 SUPURAN C, 1990, REVUE ROUMAINE DE CHIMIE, V35, P393 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 SUPURAN CT, 1991, REVUE ROUMAINE DE CHIMIE, V36, P937 SUPURAN CT, 1993, REVUE ROUMAINE DE CHIMIE, V38, P605 2006, V1, SUPURAN CT, 1993, REVUE ROUMAINE DE CHIMIE, V38, P725 SUPURAN CT, 1993, REVUE ROUMAINE DE CHIMIE, V38, P199 SUPURAN CT, 1994, REVUE ROUMAINE DE CHIMIE, V39, P107 SUPURAN CT, 1993, REVUE ROUMAINE DE CHIMIE, V38, P343 SUPURAN CT, 1992, REVUE ROUMAINE DE CHIMIE, V37, P141 Singh Jyoti, 2006, REVUE ROUMAINE DE CHIMIE, V51, P691 2004, Carbonic Anhydrase - Its Inhibitors and Activators, ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345611800004 *Order Full Text [ ] Title: Pharmocology Research in India: A Scientometric Analysis of Publications Output, 2003-12 Authors: Ammed, KKM; Gupta, R; Gupta, BM Author Full Names: Ammed, Mueen K. K.; Gupta, Ritu; Gupta, B. M. Source: INDIAN JOURNAL OF PHARMACEUTICAL EDUCATION AND RESEARCH, 48 (2):16-34; 10.5530/ijper.48.2.4 APR-JUN 2014 Language: English Document Type: Article Author Keywords: Pharmacology, Scientometrics, Research output, India Abstract: The study analyses the performance of Indian pharmacological research during the last ten years (2003-12) using publications data covered in Scopus database, based on several parameters including global publication share and rank of 15 most productive countries, India's publication growth rate and citations impact, its pattern of citations output, international collaboration profile, institutional profile, geographical distribution of output, contribution and impact of top institutions and authors, pattern of communications and characterstics of high cited papers. Addresses: [Gupta, Ritu] Sri Vankateshwar Univ, Meerut, Uttar Pradesh, India. E-mail Addresses: mueen.ahmed at gmail.com; ritu7648 at gmail.con; bmgupta1 at gmail.com Cited Reference Count: 12 Times Cited: 0 Publisher: ASSOC PHARMACEUTICAL TEACHERS INDIA, AL-AMEEN COLL PHARMACY, OPP LALBACH MAIN GATE, HOSUR MAIN RD, BANGALORE, 560 027, INDIA ISSN: 0019-5464 Web of Science Categories: Education, Scientific Disciplines; Pharmacology & Pharmacy Research Areas: Education & Educational Research; Pharmacology & Pharmacy IDS Number: AU4XM Unique ID: WOS:000345611800004 Cited References: Ibrahim Alhaider, 2001, Saudi Pharmaceutical Journal, Basak Subal C., 2010, AMERICAN JOURNAL OF PHARMACEUTICAL EDUCATION, V74, Ahmadian S, 2013, Pharmaceutical Sciences, V19, P53 Author NameThe Department of Pharmaceuticals Ministry of Chemical & Ferlizer, Govt. of India., 2012, Kaur H, 2009, COLLNET Journal of Scientometrics & Information Management, V3, P1 Ding Zuo-Qi, 2013, SCIENTOMETRICS, V96, P829 Olmeda-Gomez, 2012, A multilevel analysis pf world scientific output in pharmacology. Pharmacology, P340 Biglu MH., 2010, Impact of Iranian scientists. International Journal of Advances in Pharmaceutical Science, V1, P122 Author Name Pharmcology & pharmaceutics, INSA. Persuits and promotion of science, P191 Sekhon B S, 2011, Journal of Pharmaceutical Education and Research, V2, P73 Meo S. A., 2013, EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES, V17, P2697 Bordon M, 1992, Scientometrics, V25, P425 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345440000081 *Order Full Text [ ] Title: Impact Factors Of Education Policy In Kazakhstan: SWOT-Analysis Authors: Maratovna, AD Author Full Names: Maratovna, Aikenova Dina Edited by: Uzunboylu H Source: 3RD CYPRUS INTERNATIONAL CONFERENCE ON EDUCATIONAL RESEARCH (CY-ICER 2014), 143 414-416; 10.1016/j.sbspro.2014.07.505 2014 Book Series: Procedia Social and Behavioral Sciences Language: English Document Type: Proceedings Paper Conference Title: 3rd Cyprus International Conference on Educational Research (CY-ICER) Conference Date: JAN 30-FEB 01, 2014 Conference Location: Nicosia, CYPRUS Conference Host: Near E Univ Abstract: Education is a constantly changing sphere depending on environment and inherent processes. The aim of this study is to determine what external and internal factors impact the implementation of successful educational policy in Kazakhstan. The study covers 15 experts in an educational sphere. Experts consider that among internal factors there is weak development of inclusive education of children with disabilities and obligatory primary education. The study reveals that low status of teachers, low salary and abroad internships for teaching staff, distrust towards higher education influence implementation of education policy. (C) 2014 Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). Addresses: [Maratovna, Aikenova Dina] LN Gumilyov Eurasian Natl Univ, Astana 010000, Kazakhstan. E-mail Addresses: icandyna at mail.ru Cited Reference Count: 4 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1877-0428 Web of Science Categories: Education & Educational Research Research Areas: Education & Educational Research IDS Number: BB7EZ Unique ID: WOS:000345440000081 Cited References: [Anonymous], 1989, UN Convention on the Rights of the Child, Bell Les, 2006, Education Policy: Process, Themes And Impact, P1 Hovland I., 2004, P30 Haarr R., 2012, UNICEF report, P2 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345438800012 *Order Full Text [ ] Title: Assessing Document Relevance by modeling Citation Networks with Probabilistic Graphs Authors: Basile, TMA; Di Mauro, N; Esposito, F Author Full Names: Basile, Teresa M. A.; Di Mauro, Nicola; Esposito, Floriana Edited by: Agosti M; Catarci T; Esposito F Source: 10TH ITALIAN RESEARCH CONFERENCE ON DIGITAL LIBRARIES (IRCDL 2014), 38 68-75; 10.1016/j.procs.2014.10.013 2014 Book Series: Procedia Computer Science Language: English Document Type: Proceedings Paper Conference Title: 10th Italian Research Conference on Digital Libraries (IRCDL) Conference Date: 2014 Conference Location: Padua, ITALY Conference Host: Univ Padua, Dept Informat Engn, Aula Magna Antonio Lepschy Author Keywords: Probabilistic graphs, citation networks Abstract: Paper citation networks are a traditional social medium for the exchange of ideas and knowledge. In this paper we use citation networks as a mean to assess both the importance of the citations of a paper and to identify relevant papers. We addressed these problems by modeling the citation network with a probabilistic graph useful to infer unknown links among the nodes representing papers. The proposed approach has been evaluated on three real world citation network whose results proved its validity. (C) 2014 Published by Elsevier B.V. Addresses: [Basile, Teresa M. A.; Di Mauro, Nicola; Esposito, Floriana] Univ Bari Aldo Moro, Dept Comp Sci, LACAM Lab, I-70125 Bari, Italy. E-mail Addresses: teresamaria.basile at uniba.it Cited Reference Count: 18 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1877-0509 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: BB7EM Unique ID: WOS:000345438800012 Cited References: Leskovec J., 2005, Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining, P177 Potamias M., 2010, Proc VLDB Endow, V3, P997 Beel J., 2013, Research paper recommender system evaluation: A quantitative literature survey, Lu W., 2006, Knowl Inf Syst, V11, P105 Getoor L, 2005, SIGKDD Explorations, V7, P3 Di Mauro Nicola, 2014, JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, V42, P181 Sato T., 1995, In Ppoceedings of the 12th International Conference on Logic Programming (ICLP95, P715 KESSLER MM, 1963, AMERICAN DOCUMENTATION, V14, P10 Pfeiffer III J.J., 2011, Proceedings of the Fifth International Conference on Weblogs and Social Media, SMALL H, 1974, SCIENCE STUDIES, V4, P17 Gehrke J., 2003, SIGKDD Explorations, V5, P149 Pianka ER, 1973, Annual Reviews of Ecology and Systematics, V4, P53 Jin R., 2011, Proc VLDB Endow, V4, P551 Zou Z., 2010, Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, P633 Getoor L., 2007, Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning), Taranto C., 2013, New Frontiers in Mining Complex Patterns, V7765, P155 Yu X., 2012, SDM, P1119 Liang Yicong, 2011, WEB-AGE INFORMATION MANAGEMENT12th International Conference on Web-Age Information Management, SEP 14-16, 2011, Wuhan, PEOPLES R CHINA, V6897, P403 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345222200089 *Order Full Text [ ] Title: A bibliometrics review of CBMS Symposiums papers from 1993 till 2013 Authors: Kokol, P; Zlahtic, B; Zorman, M; Zlahtic, G; Blazun, H Author Full Names: Kokol, Peter; Zlahtic, Bojan; Zorman, Milan; Zlahtic, Grega; Blazun, Helena Book Group Author(s): IEEE Source: 2014 IEEE 27TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), 455-459; 10.1109/CBMS.2014.90 2014 Book Series: IEEE International Symposium on Computer-Based Medical Systems Language: English Document Type: Proceedings Paper Conference Title: 27th IEEE International Symposium on Computer-Based Medical Systems (CBMS) Conference Date: MAY 27-29, 2014 Conference Location: New York, NY Conference Sponsors: IEEE, IEEE Comp Soc, Texas Tech Univ, IBMWATSON Conference Host: Icahn Sch Med Author Keywords: computer based medical systems, bibliometrics, CBMS Abstract: The aim of this paper is to present the results of abibliometrics analysis of the papers published in the Computer Based Medical Systems Symposium proceedings from 1993 to 2013. We present the dynamics of paper publishing patterns, changes in paper descriptive features and the dynamics of words frequencies. Some interesting patterns were revealed and the bibliometricsanalysis showed to be a very useful tool for quantitative analysis of paper production in given scientific subfield. Addresses: [Kokol, Peter; Zlahtic, Bojan; Zorman, Milan; Zlahtic, Grega] Univ Maribor, FERI, SLO-2000 Maribor, Slovenia. E-mail Addresses: peter.kokol at um.si; bojan.zlahtic at um.si; milan.zorman at uni-mb.si; grega.zlahtic at um.si; helena.blazun at um.si Cited Reference Count: 3 Times Cited: 0 Publisher: IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA ISSN: 1063-7125 ISBN: 978-1-4799-4435-4 Web of Science Categories: Computer Science, Information Systems; Computer Science, Interdisciplinary Applications; Engineering, Biomedical Research Areas: Computer Science; Engineering IDS Number: BB6ZP Unique ID: WOS:000345222200089 Cited References: Garfield E, 2006, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V295, P90 De Bellis N., 2009, Bibliometrics and Citation Analysis, Pritchard A., 1969, SABS, V5, P184 ======================================================================= ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345490300018 *Order Full Text [ ] Title: Bibliometric evaluation of pediatric neurosurgery in North America Authors: Klimo, P; Venable, GT; Khan, NR; Taylor, DR; Shepherd, BA; Thompson, CJ; Selden, NR Author Full Names: Klimo, Paul, Jr.; Venable, Garrett T.; Khan, Nickalus R.; Taylor, Douglas R.; Shepherd, Brandon A.; Thompson, Clinton J.; Selden, Nathan R. Source: JOURNAL OF NEUROSURGERY-PEDIATRICS, 14 (6):695-703; 10.3171/2014.8.PEDS1488 DEC 2014 Language: English Document Type: Article Author Keywords: bibliometrics, citation analysis, pediatric neurosurgery, North America, department, rank, Gini coefficient, Lorenz curve KeyWords Plus: H-INDEX; SCHOLARLY PRODUCTIVITY; UNITED-STATES; ACADEMIC OTOLARYNGOLOGY; NEUROLOGICAL SURGERY; GENDER DISPARITIES; SCIENCE; WOMEN; ANESTHESIOLOGISTS; PERFORMANCE Abstract: Object. The application of bibliometric techniques to academic neurosurgery has been the focus of several recent publications. The authors provide here a detailed analysis of all active pediatric neurosurgeons in North America and their respective departments. Methods. Using Scopus and Google Scholar, a bibliometric profile for every known active pediatric neurosurgeon in North America was created using the following citation metrics: h-, contemporary h-, g-, and e-indices and the m-quotient. Various subgroups were compared. Departmental productivity from 2008 through 2013 was measured, and departments were ranked on the basis of cumulative h- and e-indices and the total number of publications and citations. Lorenz curves were created, and Gini coefficients were calculated for all departments with 4 or more members. Results. Three hundred twelve pediatric neurosurgeons (260 male, 52 female) were included for analysis. For the entire group, the median h-index, m-quotient, contemporary h-, g-, and e-indices, and the corrected g-and e-indices were 10, 0.59, 7, 18, 17, 1.14, and 1.01, respectively; the range for each index varied widely. Academic pediatric neurosurgeons associated with fellowship programs (compared with unassociated neurosurgeons), academic practitioners (compared with private practitioners), and men (compared with women) had superior measurements. There was no significant difference between American and Canadian pediatric neurosurgeons. The mean Gini coefficient for publications was 0.45 (range 0.18-0.70) and for citations was 0.53 (range 0.25-0.80). Conclusions. This study represents the most exhaustive evaluation of academic productivity for pediatric neurosurgeons in North America to date. These results should serve as benchmarks for future studies. Addresses: [Klimo, Paul, Jr.] Semmes Murphey Neurol & Spine Inst, Memphis, TN USA. [Klimo, Paul, Jr.; Khan, Nickalus R.] Univ Tennessee, Dept Neurosurg, Memphis, TN USA. [Venable, Garrett T.; Taylor, Douglas R.; Shepherd, Brandon A.] Univ Tennessee, Hlth Sci Ctr, Memphis, TN USA. [Thompson, Clinton J.] George Washington Univ, Sch Publ Hlth & Hlth Serv, Washington, DC USA. [Selden, Nathan R.] Oregon Hlth & Sci Univ, Dept Neurol Surg, Portland, OR 97201 USA. E-mail Addresses: pklimo at semmes-murphey.com Cited Reference Count: 35 Times Cited: 0 Publisher: AMER ASSOC NEUROLOGICAL SURGEONS, 5550 MEADOWBROOK DRIVE, ROLLING MEADOWS, IL 60008 USA ISSN: 1933-0707 eISSN: 1933-0715 Web of Science Categories: Clinical Neurology; Pediatrics; Surgery Research Areas: Neurosciences & Neurology; Pediatrics; Surgery IDS Number: AU3CL Unique ID: WOS:000345490300018 PubMed ID: 25280195 Cited References: Venable Garrett T., 2014, WORLD NEUROSURGERY, V81, P468 Khan Nickalus R., 2014, JOURNAL OF NEUROSURGERY, V120, P746 Pagel P. S., 2011, ANAESTHESIA, V66, P873 Aoun Salah G., 2013, WORLD NEUROSURGERY, V80, PE85 Tomei Krystal L., 2014, JOURNAL OF CLINICAL NEUROSCIENCE, V21, P1102 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Egghe L, 2006, ISSI Newsletter, V2, P8 Bornmann L, 2008, Ethics Sci Environ Polit, V8, P93 West Jevin D., 2013, PLOS ONE, V8, Gaster Natascha, 2012, BIOESSAYS, V34, P830 Kalra Ricky R., 2013, JOURNAL OF NEUROSURGERY-PEDIATRICS, V12, P262 Benzil Deborah L., 2008, JOURNAL OF NEUROSURGERY, V109, P378 Perneger TV, 1998, BRITISH MEDICAL JOURNAL, V316, P1236 Hirsch J. E., 2007, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V104, P19193 Zhang Chun-Ting, 2009, PLOS ONE, V4, Pashkova A. A., 2013, ACTA ANAESTHESIOLOGICA SCANDINAVICA, V57, P1058 Campbell Peter G., 2011, JOURNAL OF NEUROSURGERY, V115, P380 Svider Peter F., 2013, LARYNGOSCOPE, V123, P103 Sidiropoulos Antonis, 2007, SCIENTOMETRICS, V72, P253 Kulkarni Abhaya V., 2009, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V302, P1092 Duch Jordi, 2012, PLOS ONE, V7, Sugimoto Cassidy R., 2013, NATURE, V504, P211 Ceci Stephen J., 2011, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V108, P3157 Khan Nickalus R, 2013, World neurosurgery, V80, P766 Lee Janet, 2009, JOURNAL OF NEUROSURGERY, V111, P387 Shen Helen, 2013, NATURE, V495, P22 Eloy Jean Anderson, 2013, OTOLARYNGOLOGY-HEAD AND NECK SURGERY, V148, P215 Spearman Christopher M., 2010, JOURNAL OF NEUROSURGERY, V113, P929 Nonnemaker L, 2000, NEW ENGLAND JOURNAL OF MEDICINE, V342, P399 Kelly Clint D., 2007, NATURE, V449, P403 Khan Nickalus, 2013, World neurosurgery, V80, P759 Symonds Matthew R. E., 2006, PLOS ONE, V1, Svider Peter F., 2014, JOURNAL OF NEUROSURGERY, V120, P191 Ponce Francisco A., 2010, JOURNAL OF NEUROSURGERY, V113, P447 Xie Y, 1998, AMERICAN SOCIOLOGICAL REVIEW, V63, P847 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345441600011 *Order Full Text [ ] Title: WL-Index: Leveraging Citation Mention Number to Quantify an Individual's Scientific Impact Authors: Wan, XJ; Liu, F Author Full Names: Wan, Xiaojun; Liu, Fang Source: JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 65 (12):2509-2517; 10.1002/asi.23151 DEC 2014 Language: English Document Type: Article KeyWords Plus: H-INDEX; BIBLIOMETRIC INDICATORS; RESEARCH OUTPUT; RANKING; REFERENCES; JOURNALS; MODEL Abstract: A number of bibliometric indices have been developed to evaluate an individual's scientific impact, and the most popular are the h-index and its variants. However, existing bibliometric indices are computed based on the number of citations received by each article, but they do not consider the frequency with which individual citations are mentioned in an article. We use "citation mention" to denote a unique occurrence of a cited reference mentioned in the citing article, and thus some citations may have more than one mention in an article. According to our analysis of the ACL Anthology Network corpus in the natural language processing field, more than 40% of cited references have been mentioned twice or in corresponding citing articles. We argue that citation mention is a preferable for representing the citation relationships between articles, that is, a reference article mentioned m times in the citing article will be considered to have received m citations, rather than one citation. Based on this assumption, we revise the h-index and propose a new bibliometric index, the WL-index, to evaluation an individual's scientific impact. According to our empirical analysis, the proposed WL-index more accurately discriminates between program committee chairs of reputable conferences and ordinary authors. Addresses: [Wan, Xiaojun; Liu, Fang] Peking Univ, Inst Comp Sci & Technol, MOE Key Lab Computat Linguist, Beijing 100871, Peoples R China. E-mail Addresses: wanxiaojun at pku.edu.cn; xiaojudou at gmail.com Funding Acknowledgement: National Natural Science Foundation of China (NSFC) [61170166]; National High Technology Research and Development Program of China (863 Program) [2012AA011101] Funding Text: We thank the anonymous reviewers for helpful comments. The work was supported by National Natural Science Foundation of China (NSFC) (No. 61170166) and the National High Technology Research and Development Program of China (863 Program) (No. 2012AA011101). Cited Reference Count: 41 Times Cited: 0 Publisher: WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA ISSN: 2330-1635 eISSN: 2330-1643 Web of Science Categories: Computer Science, Information Systems; Information Science & Library Science Research Areas: Computer Science; Information Science & Library Science IDS Number: AU2IO Unique ID: WOS:000345441600011 Cited References: Ruane Frances, 2008, SCIENTOMETRICS, V75, P395 Liu X., 2012, Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers, V1, P526 Ding Ying, 2013, JOURNAL OF INFORMETRICS, V7, P583 Zhang Guo, 2013, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V64, P1490 Dong C., 2011, Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP2011), P623 Braun Tibor, 2006, SCIENTOMETRICS, V69, P169 Alonso S., 2009, Scientometrics, V82, P391 Teufel S., 2006, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, P103 Egghe Leo, 2006, SCIENTOMETRICS, V69, P131 Jin B., 2007, ISSI Newsletter, V3, P6 Kosmulski M., 2006, ISSI Newsletter, V2, P4 Krupka G. R., 1998, Proceedings of MUC, V7, Piao S., 2007, International Workshop on Computational Semantics (IWCS), P366 Vanclay Jerome K., 2008, JOURNAL OF INFORMETRICS, V2, P326 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Teufel S., 2012, Proceedings of the 2012 conference of the North American chapter of the Association for Computational Linguistics: Human language technologies, P597 Jin BiHui, 2007, CHINESE SCIENCE BULLETIN, V52, P855 Yan Erjia, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P467 Radoulov R., 2008, Exploring automatic citation classification, Egghe Leo, 2008, INFORMATION PROCESSING & MANAGEMENT, V44, P770 HERLACH G, 1978, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V29, P308 Hirsch J. E., 2007, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V104, P19193 Bar-Ilan Judit, 2008, SCIENTOMETRICS, V74, P257 Jijkoun V., 2008, Proceedings of the second workshop on Analytics for noisy unstructured text data, P23 Voos H., 1976, Journal of Academic Librarianship, V1, P19 Prathap Gangan, 2009, CURRENT SCIENCE, V97, P751 VINKLER P, 1987, SCIENTOMETRICS, V12, P47 Bornmann Lutz, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P830 Molinari Jean-Francois, 2008, SCIENTOMETRICS, V75, P163 Todeschini Roberto, 2011, SCIENTOMETRICS, V87, P621 Radev D. R., 2009, Proceedings of the 2009 Workshop on Text and Citation Analysis for Scholarly Digital Libraries, P54 Alonso S., 2009, JOURNAL OF INFORMETRICS, V3, P273 Sidiropoulos Antonis, 2007, SCIENTOMETRICS, V72, P253 Van Raan AFJ, 2006, SCIENTOMETRICS, V67, P491 SMALL H, 1987, SCIENTOMETRICS, V12, P339 Costas Rodrigo, 2007, JOURNAL OF INFORMETRICS, V1, P193 Jin B. H., 2006, Science Focus, V1, P8 Vanclay Jerome K., 2007, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V58, P1547 van Eck Nees Jan, 2008, JOURNAL OF INFORMETRICS, V2, P263 Egghe L., 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P1276 Burrell Quentin L., 2007, JOURNAL OF INFORMETRICS, V1, P16 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345441600006 *Order Full Text [ ] Title: The Social Circles Behind Scientific References: Relationships Between Citing and Cited Authors in Chemistry Publications Authors: Milard, B Author Full Names: Milard, Beatrice Source: JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 65 (12):2459-2468; 10.1002/asi.23149 DEC 2014 Language: English Document Type: Article KeyWords Plus: INVISIBLE COLLEGE; CITATION; SCIENCE; DISCIPLINES; SPECIALTIES; MOTIVATIONS; PERSUASION; DIFFUSION; NETWORKS; BEHAVIOR Abstract: This paper provides a better understanding of the implications of researchers' social networks in bibliographic references. Using a set of chemistry papers and conducting interviews with their authors (n = 32), I characterize the type of relation the author has with the authors of the references contained in his/her paper (n = 3,623). I show that citation relationships do not always involve underlying personal exchanges and that unknown references are an essential component, revealing segmentations in scientific groups. The relationships implied by references are of various strengths and origins. Several inclusive social circles are then identified: co-authors, close acquaintances, colleagues, invisible colleges, peers, contactables, and strangers. I conclude that publication is a device that contributes to a relatively stable distribution among the various social circles that structure scientific sociability. Addresses: Univ Toulouse, CNRS, UMR 5193, Dept Sociol,LISST, F-31058 Toulouse 9, France. E-mail Addresses: milard at univ-tlse2.fr Funding Acknowledgement: RESOCIT program of the Agence Nationale de la Recherche (ANR) Scientific citations in social networks Funding Text: This study received funding from the RESOCIT program of the Agence Nationale de la Recherche (ANR) Scientific citations in social networks. The author thanks Yves Gingras for help and the two reviewers for suggestions to improve the text. Cited Reference Count: 55 Times Cited: 0 Publisher: WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA ISSN: 2330-1635 eISSN: 2330-1643 Web of Science Categories: Computer Science, Information Systems; Information Science & Library Science Research Areas: Computer Science; Information Science & Library Science IDS Number: AU2IO Unique ID: WOS:000345441600006 Cited References: Cronin B., 1984, The citation process: The role and significance of citations in scientific communication, Crane D., 1972, Invisible colleges. Diffusion of knowledge in scientific communities, Wallace Matthew L., 2012, PLOS ONE, V7, Lievrouw L.A., 1990, Scholarly communication and bibliometrics, P59 GRANOVET.MS, 1973, AMERICAN JOURNAL OF SOCIOLOGY, V78, P1360 CRANE D, 1965, AMERICAN SOCIOLOGICAL REVIEW, V30, P699 Simmel G., 1955, Conflict and the web of group affiliations, Riviera Emanuela, 2013, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V64, P1442 PRICE DJD, 1966, AMERICAN PSYCHOLOGIST, V21, P1011 MACROBERTS MH, 1984, SOCIAL STUDIES OF SCIENCE, V14, P91 1991, Textual dynamics of the professions: Historical and contemporary studies of writing in professional communities, Cronin B, 2002, SCIENTOMETRICS, V54, P31 MURRAY SO, 1982, SOCIAL NETWORKS, V4, P225 COZZENS SE, 1989, SCIENTOMETRICS, V15, P437 Mallard Gregoire, 2009, SCIENCE TECHNOLOGY & HUMAN VALUES97th Annual Meeting of the American-Sociological-Association, AUG 15-19, 2002, CHICAGO, IL, V34, P573 BROOKS TA, 1986, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V37, P34 Forse M., 1999, Introducing social networks, GILBERT GN, 1977, SOCIAL STUDIES OF SCIENCE, V7, P113 LAW J, 1982, SOCIAL STUDIES OF SCIENCE, V12, P535 White HD, 2001, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V52, P87 Harwood Nigel, 2008, SCIENTOMETRICS, V77, P253 SMALL H, 1974, SCIENCE STUDIES, V4, P17 Fischer C., 1982, To dwell among friends: Personal networks in town and city, BROOKS TA, 1985, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V36, P223 Bidart C., 2011, La vie en reseau. Dynamique des relations sociales, Park R.E., 1925, The city: Suggestions for the study of human nature in the urban environment, Hagstrom W.O., 1966, The scientific community, Wellman B., 1988, Social structures: A network approach, P130 LIEVROUW LA, 1987, SOCIAL NETWORKS, V9, P217 White HD, 2004, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V55, P111 Cronin B., 1995, The scholar's courtesy: The role of acknowledgement in the primary communication process, Shinn T., 1988, Actes de la recherche en sciences sociales, V74, P2 Milard B., 2010, REDES, Revista hispana para el analisis de redes sociales, V19, P69 PETERS HPF, 1995, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V46, P9 Granovetter M.S., 1983, Sociological Theory, V1, P201 Leydesdorff L, 1998, SCIENTOMETRICS, V43, P5 MICHAELSON AG, 1993, SOCIAL NETWORKS, V15, P217 Baldi S, 1998, AMERICAN SOCIOLOGICAL REVIEW, V63, P829 CRANEHERVE D, 1969, REVUE FRANCAISE DE SOCIOLOGIE, V10, P166 MULLINS NC, 1977, AMERICAN SOCIOLOGICAL REVIEW, V42, P552 Lariviere Vincent, 2006, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V57, P997 De Solla Price D.J., 1986, Little science, big science, Johnson Ben, 2007, JOURNAL OF DOCUMENTATION, V63, P609 Bornmann Luti, 2008, JOURNAL OF DOCUMENTATION, V64, P45 Moed H. F., 2005, Citation analysis in research evaluation, Frandsen Tove Faber, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P64 Lodge D., 1984, A small world. An academic romance, SMALL HG, 1979, SCIENTOMETRICS, V1, P445 Hargens LL, 2000, AMERICAN SOCIOLOGICAL REVIEW, V65, P846 Rowlands I, 1999, SCIENTOMETRICS5th International Conference on Science and Technology Indicators, JUN 04-06, 1998, CAMBRIDGE, ENGLAND, V44, P533 Harwood Nigel, 2009, JOURNAL OF PRAGMATICS, V41, P497 MORAVCSIK MJ, 1975, SOCIAL STUDIES OF SCIENCE, V5, P86 HARGENS LL, 1984, AMERICAN SOCIOLOGICAL REVIEW, V49, P685 Grossetti M, 2005, SOCIAL NETWORKS, V27, P289 Zuccala A, 2006, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V57, P152 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345744100001 *Order Full Text [ ] Title: Inheritance Patterns in Citation Networks Reveal Scientific Memes Authors: Kuhn, T; Perc, M; Helbing, D Author Full Names: Kuhn, Tobias; Perc, Matjaz; Helbing, Dirk Source: PHYSICAL REVIEW X, 4 (4):10.1103/PhysRevX.4.041036 NOV 21 2014 Language: English Document Type: Article KeyWords Plus: COLLABORATION; SCIENCE; IMPACT; DISTRIBUTIONS; BURSTS; WORLD Abstract: Memes are the cultural equivalent of genes that spread across human culture by means of imitation. What makes a meme and what distinguishes it from other forms of information, however, is still poorly understood. Our analysis of memes in the scientific literature reveals that they are governed by a surprisingly simple relationship between frequency of occurrence and the degree to which they propagate along the citation graph. We propose a simple formalization of this pattern and validate it with data from close to 50 million publication records from the Web of Science, PubMed Central, and the American Physical Society. Evaluations relying on human annotators, citation network randomizations, and comparisons with several alternative approaches confirm that our formula is accurate and effective, without a dependence on linguistic or ontological knowledge and without the application of arbitrary thresholds or filters. Addresses: [Kuhn, Tobias; Helbing, Dirk] ETH, CH-8092 Zurich, Switzerland. [Perc, Matjaz] Univ Maribor, Fac Nat Sci & Math, SI-2000 Maribor, Slovenia. [Perc, Matjaz] Univ Maribor, CAMTP Ctr Appl Math & Theoret Phys, SI-2000 Maribor, Slovenia. [Helbing, Dirk] ETH, Risk Ctr, CH-8092 Zurich, Switzerland. E-mail Addresses: tokuhn at ethz.ch Funding Acknowledgement: European Commission through the ERC [324247]; Slovenian Research Agency [P5-0027] Funding Text: This research was supported by the European Commission through the ERC Advanced Investigator Grant "Momentum" (Grant No. 324247) and by the Slovenian Research Agency through the Program No. P5-0027. In addition, we would like to thank Karsten Donnay, Matthias Leiss, Christian Schulz, and Olivia Woolley-Meza for their useful feedback and help with the realization of the evaluations. Cited Reference Count: 36 Times Cited: 0 Publisher: AMER PHYSICAL SOC, ONE PHYSICS ELLIPSE, COLLEGE PK, MD 20740-3844 USA ISSN: 2160-3308 Article Number: 041036 Web of Science Categories: Physics, Multidisciplinary Research Areas: Physics IDS Number: AU6XG Unique ID: WOS:000345744100001 Cited References: Hulth A, 2003, PROCEEDINGS OF THE 2003 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSINGConference on Empirical Methods in Natural Language Processing, JUL 11-12, 2003, Sapporo, JAPAN, P216 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 PRICE DJD, 1965, SCIENCE, V149, P510 Petersen Alexander M., 2010, PHYSICAL REVIEW E, V82, Chavalarias David, 2013, PLOS ONE, V8, Dawkins R., 1989, The Selfish Gene, Guimera R, 2005, SCIENCE, V308, P697 Conover M., 2011, Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM), P89 Milojevic Stasa, 2014, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V111, P3984 Radicchi Filippo, 2009, PHYSICAL REVIEW E, V80, Gleeson James P., 2014, PHYSICAL REVIEW LETTERS, V112, Weng L., 2012, SCIENTIFIC REPORTS, V2, P1 Evans James A., 2011, SCIENCE, V331, P721 Radicchi Filippo, 2008, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V105, P17268 MERTON RK, 1968, SCIENCE, V159, P56 Stanley H. E., 1971, Introduction to Phase Transitions and Critical Phenomena, Borner K., 2014, Atlas of Knowledge, Pan Raj Kumar, 2012, SCIENTIFIC REPORTS, V2, Borner K., 2010, Atlas of Science, Redner S, 1998, EUROPEAN PHYSICAL JOURNAL B, V4, P131 Altmann Eduardo G., 2009, PLOS ONE, V4, PA31 Bastian M., 2009, Proceedings of the Third International AAAI Conference on Weblogs and Social Media (ICWSM), 2009, Menlo Park, CA, P361 Newman MEJ, 2004, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICAColloquium on Mapping Knowledge Domains, MAY 09-11, 2003, Irvine, CA, V101, P5200 Perc Matjaz, 2013, SCIENTIFIC REPORTS, V3, Christakis Nicholas A., 2013, STATISTICS IN MEDICINE, V32, P556 Adar E., 2005, Proceedings. The 2005 IEEE/WIC/ACM International Conference on Web IntelligenceProceedings. The 2005 IEEE/WIC/ACM International Conference on Web Intelligence, 19-22 Sept. 2005, Compiegne, France, Michel Jean-Baptiste, 2011, SCIENCE, V331, P176 Bourigault D., 1996, Proceedings of the 7th EURALEX International Congress, 1996, Goteborg, Sweden, P771 Penner Orion, 2013, SCIENTIFIC REPORTS, V3, Martin S., 2011, Visualization and Data Analysis 2011, V7868, Wang Dashun, 2013, SCIENCE, V342, P127 Simmons M. P., 2011, Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM), Menlo Park, CA, P353 Barabasi AL, 2005, NATURE, V435, P207 Leskovec J., 2009, Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, P497 Mazloumian Amin, 2013, SCIENTIFIC REPORTS, V3, Gomez Rodriguez M., 2010, Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, NY, P1019 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345533200007 *Order Full Text [ ] Title: Curare - A Curative Poison: A Scientometric Analysis Authors: Carl, J; Schwarzer, M; Klingelhoefer, D; Ohlendorf, D; Groneberg, DA Author Full Names: Carl, Jil; Schwarzer, Mario; Klingelhoefer, Doris; Ohlendorf, Daniela; Groneberg, David A. Source: PLOS ONE, 9 (11):10.1371/journal.pone.0112026 NOV 19 2014 Language: English Document Type: Article KeyWords Plus: BENCHMARKING PROCEDURES; INDEX Abstract: Introduction: Curare is one of the best-examined neurotoxins of the world, which has empirically been used for centuries by American Indigenes. Research on curare has been performed much later, a global scientometric analysis on curare research or its derivates does not yet exist. This bibliometric analysis is part of the global NewQis-project and should illuminate both toxic and historic issues of research on curare. Methods: The ISI Web of Science was searched for data covering 1900 to 2013 using a term which included as many original articles on curare as possible. 3,867 articles were found and analyzed for common bibliometric items such as the number of citations, language of the articles or the (modified) Hirsch-Index (h-index). Results are illustrated utilizing modern density equalizing map projections (DEMP) or beam diagrams. Results: Most publications were located in North America and Europe. The USA has the highest number of publications as well as the highest h-index. The number of publications overall rose until the late 1990s and later decreased. Furthermore, sudden increases of research activity are ascribable to historic events, like the first use of curare as muscle relaxant during surgery. Discussion: This scientometric analysis of curare research reflects several tendencies as previously seen in other bibliometric investigations, i.e. the scientific quality standard of North America and Europe. Research on curare decreased however, due to the declining attention towards this muscle relaxant. This work exemplifies also how scientometric methods can be used to illuminate historic circumstances immediately stimulating scientific research. Addresses: [Carl, Jil; Schwarzer, Mario; Klingelhoefer, Doris; Ohlendorf, Daniela; Groneberg, David A.] Goethe Univ Frankfurt, Inst Occupat Med Social Med & Environm Med, D-60054 Frankfurt, Germany. E-mail Addresses: occup-med at uni-frankfurt.de Cited Reference Count: 18 Times Cited: 0 Publisher: PUBLIC LIBRARY SCIENCE, 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA ISSN: 1932-6203 Article Number: e112026 Web of Science Categories: Multidisciplinary Sciences Research Areas: Science & Technology - Other Topics IDS Number: AU3SG Unique ID: WOS:000345533200007 Cited References: Schmidt S, 2013, J Viral Hepat, Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Fenster JM, 2001, Ether Day: The Strange Tale of America's Greatest Medical Discovery and The Haunted Men Who Made It: HarperCollins, Czarnowski Charles, 2007, CANADIAN FAMILY PHYSICIAN, V53, P1531 Ngudi Delphin Diasolua, 2012, PLOS NEGLECTED TROPICAL DISEASES, V6, Gomsu J, 2004, Humboldt im Netz, V8, P6 Fricke Ralph, 2013, BMC INFECTIOUS DISEASES, V13, Ball Philip, 2007, NATURE, V448, P737 Zell Hanna, 2010, JOURNAL OF OCCUPATIONAL MEDICINE AND TOXICOLOGY, V5, Ranawaka Udaya K., 2013, PLOS NEGLECTED TROPICAL DISEASES, V7, Bonpland A, 2004, Personal Narrative of Travels to the Equinoctial Regions of America, During the, Vogelzang B H, 2012, Indian journal of psychiatry, V54, P320 Milner D, 2009, From the rainforests of South America to the operating room: A history of curare, Groneberg David A., 2011, INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS, V10, Regal W, 2010, Arzte Woche, V11, Gastner MT, 2004, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V101, P7499 D'Anghera PM, 1912, De Orbo Novo. The Eight Decades of Peter Martyr, D'Anghera, Groneberg-Kloft Beatrix, 2009, Journal of occupational medicine and toxicology (London, England), V4, P16 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400004 *Order Full Text [ ] Title: A comparison of journal similarity across six disciplines using citing discipline analysis Authors: Wolfram, D; Zhao, YH Author Full Names: Wolfram, Dietmar; Zhao, Yuehua Source: JOURNAL OF INFORMETRICS, 8 (4):840-853; 10.1016/j.joi.2014.08.003 OCT 2014 Language: English Document Type: Article Author Keywords: Journal similarity, Citer analysis, Citation analysis, Citing discipline analysis KeyWords Plus: PEARSONS CORRELATION-COEFFICIENT; COCITATION ANALYSIS; INFORMATION-SCIENCE; SCIENTIFIC JOURNALS; CITATION; INTERDISCIPLINARITY; CATEGORIES; MAPS Abstract: A similarity comparison is made between 120 journals from five allied Web of Science disciplines (Communication, Computer Science-Information Systems, Education & Educational Research, Information Science & Library Science, Management) and a more distant discipline (Geology) across three time periods using a novel method called citing discipline analysis that relies on the frequency distribution of Web of Science Research Areas for citing articles. Similarities among journals are evaluated using multidimensional scaling with hierarchical cluster analysis and Principal Component Analysis. The resulting visualizations and groupings reveal clusters that align with the discipline assignments for the journals for four of the six disciplines, but also greater overlaps among some journals for two of the disciplines or categorizations that do not necessarily align with their assigned disciplines. Some journals categorized into a single given discipline were found to be more closely aligned with other disciplines and some journals assigned to multiple disciplines more closely aligned with only one of the assigned disciplines. The proposed method offers a complementary way to more traditional methods such as journal co-citation analysis to compare journal similarity using data that are readily available through Web of Science. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: [Wolfram, Dietmar; Zhao, Yuehua] Univ Wisconsin, Sch Informat Studies, Milwaukee, WI 53201 USA. E-mail Addresses: dwolfram at uwm.edu; yuehua at uwm.edu Cited Reference Count: 36 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400004 Cited References: Boyack Kevin W., 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P2389 Chen CM, 2001, COMPUTER, V34, P65 Leydesdorff Loet, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P1810 Boerner Katy, 2012, PLOS ONE, V7, Leydesdorff L, 2006, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V57, P601 Leydesdorff Loet, 2007, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V58, P1303 Leydesdorff L., 1993, Scientometrics, V26, P133 Morris TA, 1998, JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, V5, P448 Ding Y, 2000, SCIENTOMETRICS, V47, P55 Tsay MY, 2003, SCIENTOMETRICS, V57, P7 White HD, 2000, WEB OF KNOWLEDGE - A FESTSCHRIFT IN HONOR OF EUGENE GARFIELD, P475 Bonnevie-Nebelong E, 2006, SCIENTOMETRICS, V66, P411 Boyack KW, 2005, SCIENTOMETRICS, V64, P351 Glanzel W, 2003, SCIENTOMETRICS, V56, P357 Rafols Ismael, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P1823 MCCAIN KW, 1991, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V42, P290 Leydesdorff Loet, 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P164 Ahlgren P, 2003, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V54, P550 White HD, 1998, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V49, P327 McCain KW, 1998, SCIENTOMETRICS, V41, P389 SMALL HG, 1979, SCIENTOMETRICS, V1, P445 Marion L. S., 2005, Proceedings of the American Society for Information Science and Technology, V42, White HD, 2001, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V52, P87 Spasser MA, 1997, SCIENTOMETRICS, V39, P77 Ajiferuke Isola, 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P2086 HINZE S, 1994, SCIENTOMETRICS, V29, P353 Egghe Leo, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P1027 Leydesdorff Loet, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P348 Wang F., Journal of the American Society for Information Science and Technology, Heimeriks G., 2001, Proceedings of the 8th international conference on scientometrics and informetrics-ISSI 2001, P705 Stephane T., 2011, Data mining and statistics for decision making, Leydesdorff Loet, 2013, SCIENTOMETRICS, V94, P589 Bonnevie-Nebelong Ellen, 2006, Journal of documentation, V62, P30 Pudovkin AI, 2002, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V53, P1113 Nisonger TE, 2005, COLLEGE & RESEARCH LIBRARIES, V66, P341 Leydesdorff Loet, 2006, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V57, P1616 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400013 *Order Full Text [ ] Title: The skewness of scientific productivity Authors: Ruiz-Castillo, J; Costas, R Author Full Names: Ruiz-Castillo, Jaiver; Costas, Rodrigo Source: JOURNAL OF INFORMETRICS, 8 (4):917-934; 10.1016/j.joi.2014.09.006 OCT 2014 Language: English Document Type: Article Author Keywords: Individual scientist's productivity distributions, Skewness of science, Disambiguation algorithm, Co-authorship KeyWords Plus: SUB-FIELD NORMALIZATION; CITATION DISTRIBUTIONS; LOTKAS LAW; IMPACT; INDICATORS; SCIENCE; COLLABORATION; UNIVERSALITY Abstract: This paper exploits a unique 2003-2011 large dataset, indexed by Thomson Reuters, consisting of 17.2 million disambiguated authors classified into 30 broad scientific fields, as well as the 48.2 million articles resulting from a multiplying strategy in which any article coauthored by two or more persons is wholly assigned as many times as necessary to each of them. The dataset is characterized by a large proportion of authors who have their oeuvre in several fields. We measure individual productivity in two ways that are uncorrelated: as the number of articles per person and as the mean citation per article per person in the 2003-2011 period. We analyze the shape of the two types of individual productivity distributions in each field using size-and scale-independent indicators. To assess the skewness of productivity distributions we use a robust index of skewness, as well as the Characteristic Scores and Scales approach. For productivity inequality, we use the coefficient of variation. In each field, we study two samples: the entire population, and what we call "successful authors", namely, the subset of scientists whose productivity is above their field average. The main result is that, in spite of wide differences in production and citation practices across fields, the shape of field productivity distributions is very similar across fields. The parallelism of the results for the population as a whole and for the subset of successful authors, when productivity is measured as mean citation per article per person, reveals the fractal nature of the skewness of scientific productivity in this case. These results are essentially maintained when any article co-authored by two or more persons is fractionally assigned to each of them. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: [Ruiz-Castillo, Jaiver] Univ Carlos III Madrid, Dept Econ, E-28903 Getafe, Spain. [Costas, Rodrigo] Leiden Univ, Ctr Sci & Technol Studies, NL-2300 RA Leiden, Netherlands. E-mail Addresses: jrc at eco.uc3m.es Cited Reference Count: 46 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400013 Cited References: Alvarado R., 2012, Ciencia da Informacao, V40, P266 KYVIK S, 1989, SCIENTOMETRICS, V15, P205 Hoekman Jarno, 2010, RESEARCH POLICY, V39, P662 Albarran Pedro, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P40 Herranz Neus, 2012, JOURNAL OF INFORMETRICS, V6, P543 Herranz Neus, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2195 Waltman Ludo, 2013, SCIENTOMETRICS, V96, P699 Radicchi Filippo, 2012, PLOS ONE, V7, Waltman Ludo, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P72 Crespo Juan A., 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P1244 Caron E., 2014, 19th International Conference on Science and Technology Indicators. Context counts: Pathways to master big data and little data, P79 Schneider J. W., 2013, Bibliometric analyses of publications from Centres of Excellence Funded by the Danish National Research Foundation, Report to the Danish Ministry of Science, Innovation and Higher Education Danish Centre for Studies in Research and Research Policy, Lotka A. J., 1926, Journal of the Washington Academy of Science, V16, P317 Burrell Q., 1992, Journal of the American Society for Information Science, V46, P97 Waltman Ludo, 2013, JOURNAL OF INFORMETRICS, V7, P833 Albarran Pedro, 2011, SCIENTOMETRICS, V88, P385 Hoekman Jarno, 2013, JOURNAL OF ECONOMIC GEOGRAPHY, V13, P23 Radicchi Filippo, 2008, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V105, P17268 Li Yunrong, 2014, RESEARCH EVALUATION, V23, P174 Albarran P., 2014, Journal of the American Society for InformationScience and Technology, Herranz Neus, 2012, RESEARCH EVALUATION, V21, P113 Herranz Neus, 2013, SCIENTOMETRICS, V95, P453 Waltman Ludo, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2378 Boyack K. 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K., 2011, JOURNAL OF INFORMETRICS, V5, P608 Cronin B, 2001, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V52, P558 Crespo Juan A., 2013, PLOS ONE, V8, [Anonymous], 2014, Working paper 14-03, Rousseau R., 2011, DESIDOC Journal of Library & Information Technology, V31, WAGNERDOBLER R, 1995, JOURNAL OF DOCUMENTATION, V51, P28 Rousseau R., 1992, Journal of the American Society for Information Science, V31, P21 Li Yunrong, 2013, JOURNAL OF INFORMETRICS, V7, P746 Costas Rodrigo, 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P1564 Price DJDS, 1963, Little Science, Big Science, WAGNERDOBLER R, 1995, SCIENTOMETRICS, V32, P123 Nicholls P. T., 1989, Journal of the American Society for Information Science, V43, P645 Ioannidis John P. A., 2014, PLOS ONE, V9, SCHUBERT A, 1987, SCIENTOMETRICS, V12, P267 Boner K., 2012, PLoS ONE, V7, GROENEVELD RA, 1984, J R STAT SOC D-STAT, V33, P391 LINDSEY D, 1980, SOCIAL STUDIES OF SCIENCE, V10, P145 Perianes-Rodriguez A., 2014, Scientometrics, SEGLEN PO, 1992, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V43, P628 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400017 *Order Full Text [ ] Title: Distributions of citations of papers of individual authors publishing in different scientific disciplines: Application of Langmuir-type function Authors: Sangwal, K Author Full Names: Sangwal, Keshra Source: JOURNAL OF INFORMETRICS, 8 (4):972-984; 10.1016/j.joi.2014.09.009 OCT 2014 Language: English Document Type: Article Author Keywords: Citation analysis, Citation distribution, Langmuir-type function KeyWords Plus: RANK-ORDER DISTRIBUTION; ICEBERG HYPOTHESIS; RESEARCH OUTPUT; H-INDEX; IMPACT; LAW; UNIVERSALITY; STATISTICS; NETWORKS; BEHAVIOR Abstract: The distribution of cumulative citations L and contributed citations L-f to individual multi-authored papers published by selected authors working in different scientific disciplinesis analyzed and discussed using Langmuir-type function: y(n)=y(0)[1-alpha Kn/(1 + Kn)], where y(n)-denotes the total number of normalized cumulative citations l(n)* and normalized contributed citations l(nf)* received by individual papers of rank n, y(0) is the maximum value of y(n) when n = 0, alpha >= 1 is an effectiveness parameter, and K is the Langmuir constant related to the dimensionless differential energy Q = ln(KNc), with N-c as the number of papers receiving citations. Relationships between the values of the Langmuir constant K of the distribution function, the number N-c of papers of an individual author receiving citations and the effectiveness parameter alpha of this function, obtained from analysis of the data of rank size distributions of the authors, are investigated. It was found that: (1) the quantity KNc obtained from the real citation distribution of papers of various authors working in different disciplines is inversely proportional to (alpha-1) with a proportional constant (KNc)(0)< 1, (2) the relation KNc=(KNc)(0)/(alpha-1) also holds for the citation distribution of journals published in countries of two different groups, investigated earlier (Sangwal, K. (2013). Journal of Informetrics, 7, 487-504), and (3) deviations of the real citation distribution from curves predicted by the Langmuir-type function are associated with changing activity of sources of generation of items (citations). (C) 2014 Elsevier Ltd. All rights reserved. Addresses: Lublin Univ Technol, Dept Appl Phys, PL-20618 Lublin, Poland. E-mail Addresses: k.sangwal at pollub.pl Cited Reference Count: 45 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400017 Cited References: Egghe L., 2011, SCIENTOMETRICS, V87, P683 Redner S, 1998, EUROPEAN PHYSICAL JOURNAL B, V4, P131 Burrell QL, 2002, SCIENTOMETRICS, V53, P309 Burrell Quentin L., 2013, JOURNAL OF INFORMETRICS, V7, P774 Sornette D., 1998, European Physical Journal B, V8, P535 Redner S, 2005, PHYSICS TODAY, V58, P49 Rousseau R., 1990, Introduction to informetrics: Quantitative methods in library, documentation and information science, Abramo G., 2012, Journal of Informetrics, V6, P420 Guerrero-Bote Vicente P., 2007, SCIENTOMETRICS, V71, P423 Companario J. M., 2010, Journal of the American Society for Information Science and Technology, V61, P419 Bornmann Lutz, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P1664 Sangwal Keshra, 2013, JOURNAL OF INFORMETRICS, V7, P36 Nadarajah Saralees, 2007, SCIENTOMETRICS, V72, P291 Vieira E. S., 2010, JOURNAL OF INFORMETRICS, V4, P1 Sangwal Keshra, 2013, JOURNAL OF INFORMETRICS, V7, P487 Mansilla R., 2007, JOURNAL OF INFORMETRICS, V1, P155 Iglesias Juan E., 2007, SCIENTOMETRICS, V73, P303 Tsallis C, 2000, EUROPEAN PHYSICAL JOURNAL B, V13, P777 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Assimakis N., 2010, SCIENTOMETRICS, V85, P415 Wallace Matthew L., 2009, JOURNAL OF INFORMETRICS, V3, P296 Lancho-Barrantes Barbara S., 2010, SCIENTOMETRICS, V85, P443 Perc Matjaz, 2010, JOURNAL OF INFORMETRICS, V4, P358 PRICE DD, 1981, SCIENCE, V212, P986 PRICE DJD, 1965, SCIENCE, V149, P510 Lundberg Jonas, 2007, JOURNAL OF INFORMETRICS, V1, P145 Radicchi Filippo, 2008, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V105, P17268 Tol Richard S. J., 2011, SCIENTOMETRICS, V89, P291 Clauset Aaron, 2009, SIAM REVIEW, V51, P661 de Araujo Antonio F. Pereira, 2008, SCIENTOMETRICS, V74, P425 Egghe L., 2011, INFORMATION PROCESSING & MANAGEMENT, V47, P238 Hodge S. E., 1981, Science, V212, P950 PRICE DJD, 1976, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V27, P292 Simkin Mikhail V., 2007, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V58, P1661 Egghe L., 2013, INFORMATION PROCESSING & MANAGEMENT, V49, P99 Alonso S., 2009, JOURNAL OF INFORMETRICS, V3, P273 Naumis G. G., 2007, NEW JOURNAL OF PHYSICS, V9, Burrell QL, 2001, SCIENTOMETRICS, V52, P3 Batista Pablo D., 2006, SCIENTOMETRICS, V68, P179 Gupta Hari M., 2008, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, V387, P6745 Kretschmer H, 2001, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V52, P610 VINKLER P, 1993, SCIENTOMETRICSEUROPEAN WORKSHOP ON SCIENTOMETRIC METHODS OF RESEARCH EVALUATION IN THE SCIENCES, SOCIAL SCIENCES AND TECHNOLOGY, APR 13-17, 1991, POTSDAM, GERMANY, V26, P213 Podlubny I, 2005, SCIENTOMETRICS, V64, P95 Barabasi AL, 1999, SCIENCE, V286, P509 Egghe Leo, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P2142 ======================================================================= * *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400011 *Order Full Text [ ] Title: How robust are journal rankings based on the impact factor? Evidence from the economic sciences Authors: Seiler, C; Wohlrabe, K Author Full Names: Seiler, Christian; Wohlrabe, Klaus Source: JOURNAL OF INFORMETRICS, 8 (4):904-911; 10.1016/j.joi.2014.09.001 OCT 2014 Language: English Document Type: Article Author Keywords: Impact factor, Ranking, Skewness, Economics journals KeyWords Plus: RELIABILITY Abstract: It is well-known that the distribution of citations to articles in a journal is skewed. We ask whether journal rankings based on the impact factor are robust with respect to this fact. We exclude the most cited paper, the top 5 and 10 cited papers for 100 economics journals and recalculate the impact factor. Afterwards we compare the resulting rankings with the original ones from 2012. Our results show that the rankings are relatively robust. This holds both for the 2-year and the 5-year impact factor. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: [Seiler, Christian; Wohlrabe, Klaus] Univ Munich, Ifo Inst Econ Res, D-81679 Munich, Germany. E-mail Addresses: seiler at ifo.de; wohlrabe at ifo.de Cited Reference Count: 15 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400011 Cited References: Baum Joel A. C., 2011, ORGANIZATION, V18, P449 Wall Howard J., 2009, B E JOURNAL OF ECONOMIC ANALYSIS & POLICY, V9, Vanclay Jerome K., 2012, SCIENTOMETRICS, V92, P211 Moed Henk F., 2012, SCIENTOMETRICS, V92, P367 NIEUWENHUYSEN P, 1988, SCIENTOMETRICS, V13, P45 Seiler C., 2014, CESifo Working Paper Series, SEGLEN PO, 1992, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V43, P628 SCHUBERT A, 1983, SCIENTOMETRICS, V5, P59 Chen Kuan-Ming, 2014, JOURNAL OF INFORMETRICS, V8, P181 Leydesdorff Loet, 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P2365 Opthof T, 1997, CARDIOVASCULAR RESEARCH, V33, P1 Greenwood Darren C., 2007, BMC MEDICAL RESEARCH METHODOLOGY, V7, Stern David I., 2013, JOURNAL OF ECONOMIC LITERATURE, V51, P173 FOLLY G, 1981, SCIENTOMETRICS, V3, P135 Archambault Eric, 2009, SCIENTOMETRICS, V79, P635 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400016 *Order Full Text [ ] Title: Regression for citation data: An evaluation of different methods Authors: Thelwall, M; Wilson, P Author Full Names: Thelwall, Mike; Wilson, Paul Source: JOURNAL OF INFORMETRICS, 8 (4):963-971; 10.1016/j.joi.2014.09.011 OCT 2014 Language: English Document Type: Article Author Keywords: Informetrics, Altmetrics, Citation distributions, Lognormal, Powerlaw, Regression KeyWords Plus: INTERNATIONAL COLLABORATION; SELF-CITATION; IMPACT; ARTICLES; DISTRIBUTIONS; METRICS; COUNTS; NUMBER; CLASSIFICATION; DETERMINANTS Abstract: Citations are increasingly used for research evaluations. It is therefore important to identify factors affecting citation scores that are unrelated to scholarly quality or usefulness so that these can be taken into account. Regression is the most powerful statistical technique to identify these factors and hence it is important to identify the best regression strategy for citation data. Citation counts tend to follow a discrete lognormal distribution and, in the absence of alternatives, have been investigated with negative binomial regression. Using simulated discrete lognormal data (continuous lognormal data rounded to the nearest integer) this article shows that a better strategy is to add one to the citations, take their log and then use the general linear (ordinary least squares) model for regression (e. g., multiple linear regression, ANOVA), or to use the generalised linear model without the log. Reasonable results can also be obtained if all the zero citations are discarded, the log is taken of the remaining citation counts and then the general linear model is used, or if the generalised linear model is used with the continuous lognormal distribution. Similar approaches are recommended for altmetric data, if it proves to be lognormally distributed. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: [Thelwall, Mike; Wilson, Paul] Wolverhampton Univ, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wolverhampton WV1 1LY, W Midlands, England. E-mail Addresses: m.thelwall at wlv.ac.uk; PaulJWilson at wlv.ac.uk Cited Reference Count: 74 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400016 Cited References: PETERS HPF, 1994, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V45, P39 McDonald John D., 2007, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V58, P39 He Zi-Lin, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P2151 Aksnes DW, 2003, RESEARCH EVALUATION, V12, P159 Golosovsky M., 2012, EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, V205, P303 Sin S. C. 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J., 2008, An introduction to generalized linear models, Thelwall M., 2014, Journal of theAssociation for Information Science and Technology, Evans T. S., 2012, SCIENTOMETRICS, V93, P473 Abramo Giovanni, 2013, SCIENTOMETRICS, V95, P311 Yoshikane Fuyuki, 2013, SCIENTOMETRICS, V96, P365 Priem J., 2010, Altmetrics: A manifesto, Hilbe J., 2011, Negative binomial regression, Tabachnick B.G., 2001, Using Multivariate Statistics, Yu Tian, 2014, JOURNAL OF INFORMETRICS, V8, P123 ARC, 2014, Excellence in Research for Australia (ERA, STEWART JA, 1983, SOCIAL FORCES, V62, P166 Adie Euan, 2013, LEARNED PUBLISHING, V26, P11 Millar RB, 2011, MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE: WITH EXAMPLES IN R, SAS AND ADMB, P1 Baumgartner Susanne E., 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P797 Yao Zheng, 2014, JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, AITCHISON J, 1989, BIOMETRIKA, V76, P643 Walters Glenn D., 2006, SCIENTOMETRICS, V69, P499 Thelwall Mike, 2013, PLOS ONE, V8, de Solla Price D., 1965, Science, V169, P510 Foo Jong Yong Abdiel, 2014, ACCOUNTABILITY IN RESEARCH-POLICIES AND QUALITY ASSURANCE, V21, P198 Didegah Fereshteh, 2013, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V64, P1055 Abramo Giovanni, 2011, SCIENTOMETRICS, V89, P929 Almind TC, 1997, JOURNAL OF DOCUMENTATION, V53, P404 Didegah Fereshteh, 2013, JOURNAL OF INFORMETRICS, V7, P861 ACUMEN, 2014, Guidelines for good evaluation practice with the ACUMEN Portfolio, Franceschet Massimo, 2011, JOURNAL OF INFORMETRICS, V5, P275 Tang Li, 2013, JOURNAL OF INFORMETRICS, V7, P330 Van Raan AFJ, 1998, SCIENTOMETRICS, V42, P423 Zahedi Zohreh, 2014, SCIENTOMETRICS, V101, P1491 Kutlar A., 2013, Scientometrics, V97, P639 Dragos Cristian Mihai, 2014, CURRENT SCIENCE, V106, P942 Baldi S, 1998, AMERICAN SOCIOLOGICAL REVIEW, V63, P829 SEGLEN PO, 1992, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V43, P628 Butler Linda, 2011, EUROPEAN POLITICAL SCIENCE, V10, P44 Aksnes Dag W., 2013, RESEARCH EVALUATION, V22, P215 Thelwall Mike, 2014, JOURNAL OF INFORMETRICS, V8, P824 MacRoberts MH, 1996, SCIENTOMETRICS, V36, P435 Stasinopoulos DM, 2007, J Stat Softw, V23, P1 Yitzhaki M, 1998, SCIENTOMETRICS6th Conference of the International-Society-for-Scientometrics-and-Informetrics, JUN 16-19, 1997, JERUSALEM, ISRAEL, V41, P243 Yan Koon-Kiu, 2011, PLOS ONE, V6, Wu Jiang, 2013, JOURNAL OF INFORMETRICS, V7, P63 Priem Jason, 2014, BEYOND BIBLIOMETRICS: HARNESSING MULTIDIMENSIONAL INDICATORS OF SCHOLARLY IMPACT, P263 Mohammadi Ehsan, 2013, SCIENTOMETRICS, V97, P383 Borgman C., 2002, V36, McCain Katherine W., 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2129 Leydesdorff Loet, 2006, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V57, P1470 Waltman Ludo, 2011, JOURNAL OF INFORMETRICS, V5, P37 Bornmann Lutz, 2013, JOURNAL OF INFORMETRICS, V7, P562 Anderson D. L., 2013, New Zealand Economic Papers, V47, P140 Li Xue Feng, 2011, SPINE, V36, PE1245 Chen Chaomei, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P431 Rigby John, 2013, SCIENTOMETRICS, V94, P57 Piwowar H., 2013, Bulletin of the American Society for Information Science and Technology, V39, Mavros Michael N., 2013, SCIENTOMETRICS, V94, P203 Merton R., 1973, The sociology of science: Theoretical and empirical investigations, Stringer Michael J., 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P1377 REF, 2013, Citation data, Cole J. R., 2000, The Web of Knowledge: A Festschrift in Honorof Eugene Garfield, ======================================================================= *Record 17 of 21 *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345587800012 *Order Full Text [ ] Title: Antineutrophil cytoplasmic antibody-associated vasculitides: a scientometric approach visualizing worldwide research activity Authors: Gerber, A; Klingelhoefer, D; Groneberg, D; Bundschuh, M Author Full Names: Gerber, Alexander; Klingelhoefer, Doris; Groneberg, David; Bundschuh, Matthias Source: INTERNATIONAL JOURNAL OF RHEUMATIC DISEASES, 17 (7):794-802; 10.1111/1756-185X.12376 SEP 2014 Language: English Document Type: Article Author Keywords: antineutrophil cytoplasmic antibody, bias, citation, scientometria, vasculitis KeyWords Plus: IMPACT FACTOR; MAINTENANCE; RITUXIMAB; JOURNALS; INDEX Abstract: Aim: To provide a critical evaluation of quality and quantity regarding scientific efforts on antineutrophil cytoplasmic antibody (ANCA)-associated vasculitides (AAV) during the past 20 years. Method: Scientometric benchmark procedures, density-equalizing mapping and large-scale data analysis were used to visualize bi- and multilateral research cooperation and institutional collaborations, and to identify the most successful countries, institutions, authors and journals concerned with AAV. Results: The USA are the most productive supplier and have established their position as center of international cooperation with 22.5% of all publications, followed by Germany, the United Kingdom, France and Japan, respectively. The most successful international cooperation proved to be the one between the USA, Germany and the UK. A distinct global pattern of research productivity and citation activity was revealed, with the USA and Germany holding both the highest h-index and the highest number of total citations, but Denmark, Sweden and the Netherlands leading with regards to the citation rate. Some large and productive countries such as Japan, China and Turkey show only a few international cooperations. Conclusion: The present study represents the first detailed scientometric analysis and visualization of research quality and quantity on 'ANCA-associated vasculitides'. It was shown that scientometric indicators such as h-index, citation rate and impact factor, commonly used for assessment of scientific quality, have to be seen critically due to distortion by self-citation, co-authorship and language bias. Countries with considerable numbers of patients should enhance international collaboration behavior for the benefit of international scientific and clinical progress. Addresses: [Gerber, Alexander; Klingelhoefer, Doris; Groneberg, David; Bundschuh, Matthias] Goethe Univ Frankfurt, Inst Occupat Social & Environm Med, D-60590 Frankfurt, Germany. E-mail Addresses: gerber at med.uni-frankfurt.de Cited Reference Count: 16 Times Cited: 1 Publisher: WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA ISSN: 1756-1841 eISSN: 1756-185X Web of Science Categories: Rheumatology Research Areas: Rheumatology IDS Number: AU4NI Unique ID: WOS:000345587800012 PubMed ID: 24702861 Cited References: Holle J. U., 2013, ZEITSCHRIFT FUR RHEUMATOLOGIE, V72, P445 Mueller Paul S., 2006, SWISS MEDICAL WEEKLY, V136, P441 Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569 Hirsch J. E., 2007, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V104, P19193 Mohebbi M. R., 2008, INDIAN PEDIATRICS, V45, P604 Groneberg David A., 2011, INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS, V10, Gastner MT, 2004, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V101, P7499 Bartneck Christoph, 2011, SCIENTOMETRICS, V87, P85 Cartin-Ceba Rodrigo, 2012, ARTHRITIS AND RHEUMATISM, V64, P3770 Smith Rona M., 2012, ARTHRITIS AND RHEUMATISM, V64, P3760 Andersen Julia, 2006, Journal of Microbiology Immunology and Infection, V39, P436 Hellmich Bernhard, 2007, ANNALS OF THE RHEUMATIC DISEASES, V66, P605 GARFIELD E, 1986, ANNALS OF INTERNAL MEDICINE, V105, P313 Haug Charlotte, 2006, Tidsskrift for den Norske l?geforening : tidsskrift for praktisk medicin, ny r?kke, V126, P429 Kulkarni Abhaya V., 2011, PLOS ONE, V6, Jennette J. C., 2013, ARTHRITIS AND RHEUMATISM, V65, P1 ======================================================================= ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345533200089 *Order Full Text [ ] Title: Fragmented Romanian Sociology: Growth and Structure of the Collaboration Network Authors: Hancean, MG; Perc, M; Vlasceanu, L Author Full Names: Hancean, Marian-Gabriel; Perc, Matjaz; Vlasceanu, Lazar Source: PLOS ONE, 9 (11):10.1371/journal.pone.0113271 NOV 19 2014 Language: English Document Type: Article KeyWords Plus: SCIENTIFIC COAUTHORSHIP NETWORKS; INDEX; SCIENCE; COHESION; EQUIVALENCE; AUTHORSHIP; ECONOMICS; PHYSICS; IMPACT Abstract: Structural patterns in collaboration networks are essential for understanding how new ideas, research practices, innovation or cooperation circulate and develop within academic communities and between and within university departments. In our research, we explore and investigate the structure of the collaboration network formed by the academics working full-time within all the 17 sociology departments across Romania. We show that the collaboration network is sparse and fragmented, and that it constitutes an environment that does not promote the circulation of new ideas and innovation within the field. Although recent years have witnessed an increase in the productivity of Romanian sociologists, there is still ample room for improvement in terms of the interaction infrastructure that ought to link individuals together so that they could maximize their potentials. We also fail to discern evidence in favor of the Matthew effect governing the growth of the network, which suggests scientific success and productivity are not rewarded. Instead, the structural properties of the collaboration network are partly those of a core-periphery network, where the spread of innovation and change can be explained by structural equivalence rather than by interpersonal influence models. We also provide support for the idea that, within the observed network, collaboration is the product of homophily rather than prestige effects. Further research on the subject based on data from other countries in the region is needed to place our results in a comparative framework, in particular to discern whether the behavior of the Romanian sociologist community is unique or rather common. Addresses: [Hancean, Marian-Gabriel; Vlasceanu, Lazar] Univ Bucharest, Dept Sociol, Bucharest, Romania. [Perc, Matjaz] Univ Maribor, Fac Nat Sci & Math, SLO-2000 Maribor, Slovenia. E-mail Addresses: gabriel.hancean at sas.unibuc.ro Cited Reference Count: 73 Times Cited: 0 Publisher: PUBLIC LIBRARY SCIENCE, 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA ISSN: 1932-6203 Article Number: e113271 Web of Science Categories: Multidisciplinary Sciences Research Areas: Science & Technology - Other Topics IDS Number: AU3SG Unique ID: WOS:000345533200089 Cited References: Borgatti SP, 2013, Analyzing social networks, Glanzel W, 1999, SCIENTOMETRICS, V45, P185 Frenken K, 2005, JOURNAL OF ENGINEERING AND TECHNOLOGY MANAGEMENT, V22, P9 McQuail D, 1993, Communication models for the study of mass communication, Lee Kyungjoon, 2010, PLOS ONE, V5, DeHaan J, 1997, SCIENTOMETRICS, V39, P197 White H, 2012, The Sage Handbook of Social Network Analysis, P271 Kulkarni Abhaya V., 2011, PLOS ONE, V6, Wallace Matthew L., 2012, PLOS ONE, V7, MERTON RK, 1968, SCIENCE, V159, P56 Wray BK, 2002, Philosophy of Science, V69, P150 Harzing A-W, 2007, Publish or perish, Laband DN, 2000, JOURNAL OF POLITICAL ECONOMY, V108, P632 Watts DJ, 1998, NATURE, V393, P440 Araujo Eduardo B., 2014, PLOS ONE, V9, Havlin S., 2012, EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, V214, P273 Yu Qi, 2014, PLOS ONE, V9, Barash V, 2011, The Dynamics of social contagion, Borgatti SP, 1992, Connections, V15, P12 Newman MEJ, 2004, COMPLEX NETWORKS, V650, P337 Hanneman RA, 2005, Introduction to social network methods, Barabasi AL, 2002, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, V311, P590 Doreian P, 2005, Generalized blockmodeling, SCHUBERT A, 1990, SCIENTOMETRICS, V19, P3 BURT RS, 1987, AMERICAN JOURNAL OF SOCIOLOGY, V92, P1287 Csajbok Edit, 2007, SCIENTOMETRICS, V73, P91 Friedkin NE, 1999, ADVANCES IN GROUP PROCESSES, VOL 16 - 1999, V16, P1 Schreiber Michael, 2008, JOURNAL OF INFORMETRICS, V2, P211 Friedkin NE, 2006, A Structural theory of social influence, MILGRAM S, 1967, PSYCHOLOGY TODAY, V1, P61 DIMAGGIO PJ, 1983, AMERICAN SOCIOLOGICAL REVIEW, V48, P147 BORGATTI SP, 1993, SOCIAL NETWORKS, V15, P361 Perc Matjaz, 2013, SCIENTIFIC REPORTS, V3, Uddin Shahadat, 2013, PLOS ONE, V8, Perc Matjaz, 2010, JOURNAL OF INFORMETRICS, V4, P358 HUMMON NP, 1989, SOCIAL NETWORKS, V11, P39 Willer D, 1995, Social Psychology Quarterly, V58, P123 Katz E, 1957, Departmental Papers, Schreiber Michael, 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P169 SIMON HA, 1955, BIOMETRIKA, V42, P425 Moody J, 2003, AMERICAN SOCIOLOGICAL REVIEW, V68, P103 Moody J, 2004, AMERICAN SOCIOLOGICAL REVIEW, V69, P213 Borgatti SP, 2012, P40 Kitsak Maksim, 2010, NATURE PHYSICS, V6, P888 Hudson J, 1996, JOURNAL OF ECONOMIC PERSPECTIVES, V10, P153 Perc Matjaz, 2010, JOURNAL OF INFORMETRICS, V4, P475 Mizruchi MS, 1996, ANNUAL REVIEW OF SOCIOLOGY, V22, P271 Borgatti SP, 2002, Batagelj V, 2000, SOCIAL NETWORKS, V22, P173 Stapenhurst T, 2009, The Benchmarking book. 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A., 2008, PLOS ONE, V3, Doreian P, 1985, American Society for Information Science, V366, P411 Mali Franc, 2012, MODELS OF SCIENCE DYNAMICS: ENCOUNTERS BETWEEN COMPLEXITY THEORY AND INFORMATION SCIENCES, P195 Kivela M, 2014, J. Complex Netw., V2, P203 Gallos Lazaros K., 2012, PHYSICAL REVIEW X, V2, Braun Tibor, 2006, SCIENTOMETRICS, V69, P169 Getoor L, 2005, SIGKDD Explorations, V7, P3 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345558100140 *Order Full Text [ ] Title: How Structure Shapes Dynamics: Knowledge Development in Wikipedia - A Network Multilevel Modeling Approach Authors: Halatchliyski, I; Cress, U Author Full Names: Halatchliyski, Iassen; Cress, Ulrike Source: PLOS ONE, 9 (11):10.1371/journal.pone.0111958 NOV 3 2014 Language: English Document Type: Article KeyWords Plus: ONLINE COMMUNITIES; COLLABORATION; EMERGENCE; SCIENCE; WEB Abstract: Using a longitudinal network analysis approach, we investigate the structural development of the knowledge base of Wikipedia in order to explain the appearance of new knowledge. The data consists of the articles in two adjacent knowledge domains: psychology and education. We analyze the development of networks of knowledge consisting of interlinked articles at seven snapshots from 2006 to 2012 with an interval of one year between them. Longitudinal data on the topological position of each article in the networks is used to model the appearance of new knowledge over time. Thus, the structural dimension of knowledge is related to its dynamics. Using multilevel modeling as well as eigenvector and betweenness measures, we explain the significance of pivotal articles that are either central within one of the knowledge domains or boundary-crossing between the two domains at a given point in time for the future development of new knowledge in the knowledge base. Addresses: [Halatchliyski, Iassen; Cress, Ulrike] Knowledge Media Res Ctr, Knowledge Construct Lab, Tubingen, Germany. [Cress, Ulrike] Univ Tubingen, Dept Appl Cognit Psychol & Media Psychol, Tubingen, Germany. E-mail Addresses: i.halatchliyski at iwm-kmrc.de Funding Acknowledgement: Leibniz ScienceCampus Tubingen "Informational Environments'' Funding Text: This work was supported by Leibniz ScienceCampus Tubingen "Informational Environments'' (http://www.wissenschaftscampus-tuebingen.de/www/index.html) to UC. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Cited Reference Count: 55 Times Cited: 0 Publisher: PUBLIC LIBRARY SCIENCE, 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA ISSN: 1932-6203 Article Number: e111958 Web of Science Categories: Multidisciplinary Sciences Research Areas: Science & Technology - Other Topics IDS Number: AU4DB Unique ID: WOS:000345558100140 Cited References: Forte A, 2006, Proceedings of the 7th international conference of the learning sciences, P182 Boerner Katy, 2012, MODELS OF SCIENCE DYNAMICS: ENCOUNTERS BETWEEN COMPLEXITY THEORY AND INFORMATION SCIENCES, P3 RAUDENBUSH SW, 1993, JOURNAL OF CONSULTING AND CLINICAL PSYCHOLOGY, V61, P941 Swarts Jason, 2009, SIGDOC'09: PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON DESIGN OF COMMUNICATION27th ACM International Conference on Design of Communication, OCT 05-07, 2009, Bloomington, IN, P281 Mali Franc, 2012, MODELS OF SCIENCE DYNAMICS: ENCOUNTERS BETWEEN COMPLEXITY THEORY AND INFORMATION SCIENCES, P195 Halatchliyski I, 2010, Proceedings of the 6th international symposium on wikis and open collaboration, Capocci A., 2006, PHYSICAL REVIEW E, V74, Wasko MM, 2005, MIS QUARTERLY, V29, P35 Cress Ulrike, 2013, HANDBOOK OF DESIGN IN EDUCATIONAL TECHNOLOGY, P416 O'Reilly T., 2005, What is Web 2.0. 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R package version 0.999999-2, Lucio-Arias Diana, 2012, MODELS OF SCIENCE DYNAMICS: ENCOUNTERS BETWEEN COMPLEXITY THEORY AND INFORMATION SCIENCES, P23 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400016 *Order Full Text [ ] Title: Regression for citation data: An evaluation of different methods Authors: Thelwall, M; Wilson, P Author Full Names: Thelwall, Mike; Wilson, Paul Source: JOURNAL OF INFORMETRICS, 8 (4):963-971; 10.1016/j.joi.2014.09.011 OCT 2014 Language: English Document Type: Article Author Keywords: Informetrics, Altmetrics, Citation distributions, Lognormal, Powerlaw, Regression KeyWords Plus: INTERNATIONAL COLLABORATION; SELF-CITATION; IMPACT; ARTICLES; DISTRIBUTIONS; METRICS; COUNTS; NUMBER; CLASSIFICATION; DETERMINANTS Abstract: Citations are increasingly used for research evaluations. It is therefore important to identify factors affecting citation scores that are unrelated to scholarly quality or usefulness so that these can be taken into account. Regression is the most powerful statistical technique to identify these factors and hence it is important to identify the best regression strategy for citation data. Citation counts tend to follow a discrete lognormal distribution and, in the absence of alternatives, have been investigated with negative binomial regression. Using simulated discrete lognormal data (continuous lognormal data rounded to the nearest integer) this article shows that a better strategy is to add one to the citations, take their log and then use the general linear (ordinary least squares) model for regression (e. g., multiple linear regression, ANOVA), or to use the generalised linear model without the log. Reasonable results can also be obtained if all the zero citations are discarded, the log is taken of the remaining citation counts and then the general linear model is used, or if the generalised linear model is used with the continuous lognormal distribution. Similar approaches are recommended for altmetric data, if it proves to be lognormally distributed. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: [Thelwall, Mike; Wilson, Paul] Wolverhampton Univ, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wolverhampton WV1 1LY, W Midlands, England. E-mail Addresses: m.thelwall at wlv.ac.uk; PaulJWilson at wlv.ac.uk Cited Reference Count: 74 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400016 Cited References: PETERS HPF, 1994, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V45, P39 McDonald John D., 2007, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V58, P39 He Zi-Lin, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P2151 Aksnes DW, 2003, RESEARCH EVALUATION, V12, P159 Golosovsky M., 2012, EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, V205, P303 Sin S. C. 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J., 2008, An introduction to generalized linear models, Thelwall M., 2014, Journal of theAssociation for Information Science and Technology, Evans T. S., 2012, SCIENTOMETRICS, V93, P473 Abramo Giovanni, 2013, SCIENTOMETRICS, V95, P311 Yoshikane Fuyuki, 2013, SCIENTOMETRICS, V96, P365 Priem J., 2010, Altmetrics: A manifesto, Hilbe J., 2011, Negative binomial regression, Tabachnick B.G., 2001, Using Multivariate Statistics, Yu Tian, 2014, JOURNAL OF INFORMETRICS, V8, P123 ARC, 2014, Excellence in Research for Australia (ERA, STEWART JA, 1983, SOCIAL FORCES, V62, P166 Adie Euan, 2013, LEARNED PUBLISHING, V26, P11 Millar RB, 2011, MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE: WITH EXAMPLES IN R, SAS AND ADMB, P1 Baumgartner Susanne E., 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P797 Yao Zheng, 2014, JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, AITCHISON J, 1989, BIOMETRIKA, V76, P643 Walters Glenn D., 2006, SCIENTOMETRICS, V69, P499 Thelwall Mike, 2013, PLOS ONE, V8, de Solla Price D., 1965, Science, V169, P510 Foo Jong Yong Abdiel, 2014, ACCOUNTABILITY IN RESEARCH-POLICIES AND QUALITY ASSURANCE, V21, P198 Didegah Fereshteh, 2013, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V64, P1055 Abramo Giovanni, 2011, SCIENTOMETRICS, V89, P929 Almind TC, 1997, JOURNAL OF DOCUMENTATION, V53, P404 Didegah Fereshteh, 2013, JOURNAL OF INFORMETRICS, V7, P861 ACUMEN, 2014, Guidelines for good evaluation practice with the ACUMEN Portfolio, Franceschet Massimo, 2011, JOURNAL OF INFORMETRICS, V5, P275 Tang Li, 2013, JOURNAL OF INFORMETRICS, V7, P330 Van Raan AFJ, 1998, SCIENTOMETRICS, V42, P423 Zahedi Zohreh, 2014, SCIENTOMETRICS, V101, P1491 Kutlar A., 2013, Scientometrics, V97, P639 Dragos Cristian Mihai, 2014, CURRENT SCIENCE, V106, P942 Baldi S, 1998, AMERICAN SOCIOLOGICAL REVIEW, V63, P829 SEGLEN PO, 1992, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V43, P628 Butler Linda, 2011, EUROPEAN POLITICAL SCIENCE, V10, P44 Aksnes Dag W., 2013, RESEARCH EVALUATION, V22, P215 Thelwall Mike, 2014, JOURNAL OF INFORMETRICS, V8, P824 MacRoberts MH, 1996, SCIENTOMETRICS, V36, P435 Stasinopoulos DM, 2007, J Stat Softw, V23, P1 Yitzhaki M, 1998, SCIENTOMETRICS6th Conference of the International-Society-for-Scientometrics-and-Informetrics, JUN 16-19, 1997, JERUSALEM, ISRAEL, V41, P243 Yan Koon-Kiu, 2011, PLOS ONE, V6, Wu Jiang, 2013, JOURNAL OF INFORMETRICS, V7, P63 Priem Jason, 2014, BEYOND BIBLIOMETRICS: HARNESSING MULTIDIMENSIONAL INDICATORS OF SCHOLARLY IMPACT, P263 Mohammadi Ehsan, 2013, SCIENTOMETRICS, V97, P383 Borgman C., 2002, V36, McCain Katherine W., 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2129 Leydesdorff Loet, 2006, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V57, P1470 Waltman Ludo, 2011, JOURNAL OF INFORMETRICS, V5, P37 Bornmann Lutz, 2013, JOURNAL OF INFORMETRICS, V7, P562 Anderson D. L., 2013, New Zealand Economic Papers, V47, P140 Li Xue Feng, 2011, SPINE, V36, PE1245 Chen Chaomei, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P431 Rigby John, 2013, SCIENTOMETRICS, V94, P57 Piwowar H., 2013, Bulletin of the American Society for Information Science and Technology, V39, Mavros Michael N., 2013, SCIENTOMETRICS, V94, P203 Merton R., 1973, The sociology of science: Theoretical and empirical investigations, Stringer Michael J., 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P1377 REF, 2013, Citation data, Cole J. R., 2000, The Web of Knowledge: A Festschrift in Honorof Eugene Garfield, ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400008 *Order Full Text [ ] Title: The Matthew effect in economics reconsidered Authors: Birkmaier, D; Wohlrabe, K Author Full Names: Birkmaier, Daniel; Wohlrabe, Klaus Source: JOURNAL OF INFORMETRICS, 8 (4):880-889; 10.1016/j.joi.2014.08.005 OCT 2014 Language: English Document Type: Article Author Keywords: Matthew effect, Gibrat's law, Kolmogorov-Smirnov KeyWords Plus: CITIES; LAW Abstract: We apply the test of Ijiri and Simon (1974) to a large data set of authors in economics. This test has been used by Tol (2009, 2013a) to identify a (within-author) Matthew effect for authors based on citations. We show that the test is quite sensitive to its underlying assumptions and identifies too often a potential Matthew effect. We propose an alternative test based on the pure form of Gibrat's law. It states that stochastic proportionate citation growth, i.e. independent of its size, leads to a lognormal distribution. By using a one-sided Kolmogorov-Smirnov test we test for deviations from the lognormal distribution which we interpret as an indication of the Matthew effect. Using our large data set we also explore potential empirical characteristics of economists with a Matthew effect. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: [Birkmaier, Daniel] Univ Munich, D-81679 Munich, Germany. [Wohlrabe, Klaus] Univ Munich, Ifo Inst Econ Res, D-81679 Munich, Germany. E-mail Addresses: wohlrabe at ifo.de Cited Reference Count: 11 Times Cited: 0 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400008 Cited References: Gabaix X., 2004, V4, Tol Richard S. J., 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P420 Harzing Anne-Wil, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P41 Tol R. S. J., 2013, V5513, Tol Richard S. J., 2013, JOURNAL OF INFORMETRICS, V7, P522 IJIRI Y, 1974, JOURNAL OF POLITICAL ECONOMY, V82, P315 Eeckhout J, 2004, AMERICAN ECONOMIC REVIEW, V94, P1429 MERTON RK, 1968, SCIENCE, V159, P56 Wang Jian, 2014, JOURNAL OF INFORMETRICS, V8, P329 Seiler Christian, 2012, JOURNAL OF INFORMETRICS, V6, P389 Gabaix X, 1999, QUARTERLY JOURNAL OF ECONOMICS, V114, P739 ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345527400003 *Order Full Text [ ] Title: Distributions for cited articles from individual subjects and years Authors: Thelwall, M; Wilson, P Author Full Names: Thelwall, Mike; Wilson, Paul Source: JOURNAL OF INFORMETRICS, 8 (4):824-839; 10.1016/j.joi.2014.08.001 OCT 2014 Language: English Document Type: Article Author Keywords: Citation distribution, Power law, Hooked power law, Lognormal distribution, Citation analysis KeyWords Plus: CITATION DISTRIBUTIONS; UNIVERSALITY; NETWORKS; SCORES; IMPACT; WEB Abstract: The citations to a set of academic articles are typically unevenly shared, with many articles attracting few citations and few attracting many. It is important to know more precisely how citations are distributed in order to help statistical analyses of citations, especially for sets of articles from a single discipline and a small range of years, as normally used for research evaluation. This article fits discrete versions of the power law, the lognormal distribution and the hooked power law to 20 different Scopus categories, using citations to articles published in 2004 and ignoring uncited articles. The results show that, despite its popularity, the power law is not a suitable model for collections of articles from a single subject and year, even for the purpose of estimating the slope of the tail of the citation data. Both the hooked power law and the lognormal distributions fit best for some subjects but neither is a universal optimal choice and parameter estimates for both seem to be unreliable. Hence only the hooked power law and discrete lognormal distributions should be considered for subject-and-year-based citation analysis in future and parameter estimates should always be interpreted cautiously. (C) 2014 Elsevier Ltd. All rights reserved. Addresses: [Thelwall, Mike; Wilson, Paul] Wolverhampton Univ, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wolverhampton WV1 1LY, W Midlands, England. E-mail Addresses: m.thelwall at wlv.ac.uk; PaulJWilson at wlv.ac.uk Cited Reference Count: 26 Times Cited: 1 Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS ISSN: 1751-1577 eISSN: 1875-5879 Web of Science Categories: Information Science & Library Science Research Areas: Information Science & Library Science IDS Number: AU3QB Unique ID: WOS:000345527400003 Cited References: Amin M., 2000, Perspectives in Publishing, V1, P1 Clauset Aaron, 2009, SIAM REVIEW, V51, P661 Glaenzel Wolfgang, 2007, JOURNAL OF INFORMETRICS, V1, P92 Vuong Q. H., 1989, Econometrica: Journal of the Econometric Society, P307 MERTON RK, 1968, SCIENCE, V159, P56 PETERS HPF, 1994, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V45, P39 Radicchi Filippo, 2008, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V105, P17268 Waltman Ludo, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P72 PRICE DJD, 1965, SCIENCE, V149, P510 Redner S, 1998, EUROPEAN PHYSICAL JOURNAL B, V4, P131 Radicchi Filippo, 2012, PLOS ONE, V7, Adamic LA, 2000, SCIENCE, V287, Pennock DM, 2002, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V99, P5207 Newman MEJ, 2001, PHYSICAL REVIEW E, V64, Didegah Fereshteh, 2013, JOURNAL OF INFORMETRICS, V7, P861 Downey AB, 2001, NINTH INTERNATIONAL SYMPOSIUM ON MODELING, ANALYSIS AND SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS, PROCEEDINGS9th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2001), AUG 15-18, 2001, CINCINNATI, OH, P361 Barabasi AL, 1999, SCIENCE, V286, P509 GARFIELD E, 1987, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V257, P52 Ruiz-Castillo Javier, 2013, SCIENTOMETRICS, V96, P173 Case DO, 2000, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V51, P635 Albarran Pedro, 2011, SCIENTOMETRICS, V88, P385 Mitzenmacher M., 2004, Internet Mathematics, V1, P226 Wilks SS, 1938, ANNALS OF MATHEMATICAL STATISTICS, V9, P60 Wen Y. L., 2013, Journal of Educational Media & Library Sciences, V51, P219 De Moya-Anegon Felix, 2007, SCIENTOMETRICS, V73, P53 Hilbe J., 2011, Negative binomial regression, ======================================================================= *View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord;UT=WOS:000345329700006 *Order Full Text [ ] Title: The Matthew Effect in Online Review Helpfulness Authors: Wan, Y Author Full Names: Wan, Yun Edited by: Jarvelainen J; Li H; Tuikka AM; Kuusela T Source: CO-CREATED EFFECTIVE, AGILE, AND TRUSTED ESERVICES, 155 38-49; 2013 Book Series: Lecture Notes in Business Information Processing Language: English Document Type: Proceedings Paper Conference Title: 15th International Conference on Electronic Commerce (ICEC) Conference Date: AUG 13-15, 2013 Conference Location: Turku, FINLAND Conference Sponsors: Abo Akademi Univ, Inst Adv Management Syst Res Conference Host: Univ Turku, Turku Sch Econom, Informat Syst Sci Author Keywords: online reviews, amazon.com, review helpfulness, Matthew effect KeyWords Plus: PRODUCT REVIEWS; INFORMATION Abstract: To allow consumers cast a vote on the helpfulness of an online review becomes a popular practice by many ecommerce companies. It was assumed this crowd-sourcing-method-generated ranking could help online shoppers quickly identify quality reviews for a popular product. However, through data collected from amazon.com, we found those most useful reviews identified through this method are heavily influenced by the order the reviews being submitted. Early reviews enjoy a first-mover advantage over later reviews via Matthew effect. How to remedy such influence is discussed. Addresses: Univ Houston Victoria, Sugar Land, TX 77459 USA. E-mail Addresses: wany at uhv.edu Cited Reference Count: 18 Times Cited: 0 Publisher: SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY ISSN: 1865-1348 ISBN: 978-3-642-39808-7; 978-3-642-39807-0 Web of Science Categories: Computer Science, Information Systems; Computer Science, Theory & Methods Research Areas: Computer Science IDS Number: BB7CB Unique ID: WOS:000345329700006 Cited References: Hu Nan, 2008, INFORMATION TECHNOLOGY & MANAGEMENT, V9, P201 Bae Soonyong, 2011, ELECTRONIC MARKETS, V21, P255 SHAYWITZ BA, 1995, READING RESEARCH QUARTERLY, V30, P894 Back E.C., 2010, Internet & Technology 2012, Maes P., 1994, Communications of the ACM, V37, MERTON RK, 1968, SCIENCE, V159, P56 Kornish L.J., 2009, Working Paper, NELSON P, 1970, JOURNAL OF POLITICAL ECONOMY, V78, P311 Shapiro C., 1999, Information rules: a strategic guide to the network economy, Liu J., 2007, Proceedings of the joint conference on empirical methods in natural language processing and computational natural language learning, P334 NELSON P, 1974, JOURNAL OF POLITICAL ECONOMY, V82, P729 Darby M. R., 1973, Journal of Law and Economics, V16, TVERSKY A, 1973, COGNITIVE PSYCHOLOGY, V5, P207 Hu Nan, 2009, COMMUNICATIONS OF THE ACM, V52, P144 MCMAHON MJ, 2004, BOSTON COLL LAW REV, V0045, Kapoor Gaurav, 2009, JOURNAL OF ORGANIZATIONAL COMPUTING AND ELECTRONIC COMMERCE, V19, P85 Duan Wenjing, 2008, DECISION SUPPORT SYSTEMS, V45, P1007 Mudambi Susan M., 2010, MIS QUARTERLY, V34, P185 ======================================================================= From lutz.bornmann at GV.MPG.DE Wed Dec 31 03:31:32 2014 From: lutz.bornmann at GV.MPG.DE (Bornmann, Lutz) Date: Wed, 31 Dec 2014 08:31:32 +0000 Subject: Nature Index Message-ID: Haunschild, R., & Bornmann, L. (2015). Publishing: Criteria for Nature Index questioned. Nature, 517(7532), 21-21. doi: 10.1038/517021d. Available at: http://www.nature.com/nature/journal/v517/n7532/full/517021d.html --------------------------------------- Dr. Dr. habil. Lutz Bornmann Division for Science and Innovation Studies Administrative Headquarters of the Max Planck Society Hofgartenstr. 8 80539 Munich Tel.: +49 89 2108 1265 Mobil: +49 170 9183667 Email: bornmann at gv.mpg.de WWW: www.lutz-bornmann.de ResearcherID: http://www.researcherid.com/rid/A-3926-2008 ResearchGate: http://www.researchgate.net/profile/Lutz_Bornmann -------------- next part -------------- An HTML attachment was scrubbed... URL: