Papers of Interest to SIG-Metrics Readers
Eugene Garfield
eugene.garfield at THOMSONREUTERS.COM
Mon Jun 4 23:55:59 EDT 2012
TITLE: Research performance of centers of expertise for rare
diseases-The influence of network integration, internal resource access
and operational experience (Article, English)
AUTHOR: Hannemann-Weber, H; Kessel, M; Schultz, C
SOURCE: HEALTH POLICY 105 (2-3). MAY 2012. p.138-145 ELSEVIER
IRELAND LTD, CLARE
SEARCH TERM(S):
ANGELL M ANN INTERN MED 104:261 1986;
GARFIELD E CURR CONTENTS 49:5 1992
KEYWORDS: Cooperation; Center of expertise; Healthcare; Network
integration; Operational experience; Rare disease;
Research performance
KEYWORDS+: DYNAMIC CAPABILITIES; CLINICAL-OUTCOMES; PUBLIC-POLICY;
KNOWLEDGE; CARE; EXPLORATION; INNOVATION; ALLIANCES;
PREDICTORS; BOUNDARIES
ABSTRACT: Objectives: Centers of expertise (CoE) are vital to the
care and treatment of patients with rare diseases and play a central role in generating medical and scientific knowledge. This study explores the relationship between a CoEs internal resource availability, operational experience and functional network integration and its research performance.
Method: Hypotheses were tested based on a sample of 64 CoEs in Europe and North America that specialize in 6 rare diseases. We collected questionnaire data related to strategic and structural antecedents and subsequently examined bibliometric data in the IS! Web of Science database to determine (1) research output by publication counts and (2) research impact by the number of citations.
Results: A CoEs research performance is greatly determined by available experiences and internal resources as well as by the nature of networks.
While research output increases with the number of treated patients, the amount of resources and access to R&D networks, the impact of the identified publications is not related to a CoEs availability of internal resources or to the size of its R&D network. Nevertheless, a CoEs focus on care-oriented networks increases its research impact.
Conclusion: Under the guidance of different national efforts, this study aims to support a nationwide establishment of specialized CoEs for rare diseases. It emphasizes the relevance of CoEs for the generation of medical knowledge for rare diseases as well as their need for essential support through internal and external resources. The findings further show the necessity for CoEs not only to concentrate on R&D collaborations to generate completely new knowledge and opportunities but also to establish networks with operational care partners such as general practitioners, local therapists, rehabilitation centers or other hospitals. (C) 2012 Elsevier Ireland Ltd. All rights reserved.
AUTHOR ADDRESS: H Hannemann-Weber, Tech Univ Berlin, Berlin, Germany
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TITLE: Zipf's Law, Hierarchical Structure, and Cards-Shuffling
Model for Urban Development (Article, English)
AUTHOR: Chen, YG
SOURCE: DISCRETE DYNAMICS IN NATURE AND SOCIETY. 2012.
p.NIL_1-NIL_21 HINDAWI PUBLISHING CORPORATION, NEW YORK
SEARCH TERM(S): ZIPF* item_title
KEYWORDS+: SCALING LAWS; EXACT FORMULATION; CITY-SIZE; CITIES;
NETWORKS; SYSTEMS; INTERMITTENCY; DISTRIBUTIONS;
UNIVERSALITY
ABSTRACT: Hierarchy of cities reflects the ubiquitous structure
frequently observed in the natural world and social institutions. Where there is a hierarchy with cascade structure, there is a Zipf's rank-size distribution, and vice versa. However, we have no theory to explain the spatial dynamics associated with Zipf's law of cities. In this paper, a new angle of view is proposed to find the simple rules dominating complex systems and regular patterns behind random distribution of cities. The hierarchical structure can be described with a set of exponential functions that are identical in form to Horton-Strahler's laws on rivers and Gutenberg-Richter's laws on earthquake energy. From the exponential models, we can derive four power laws including Zipf's law indicative of fractals and scaling symmetry. A card-shuffling model is built to interpret the relation between Zipf's law and hierarchy of cities. This model can be expanded to illuminate the general empirical power-law distributions across the individual physical and social sciences, which are hard to be comprehended within the specific scientific domains. This research is useful for us to understand how complex systems such as networks of cities are self-organized.
AUTHOR ADDRESS: YG Chen, Peking Univ, Coll Urban & Environm Sci, Dept Geog,
Beijing 100871, Peoples R China
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TITLE: Two-year citations of JAPPL original articles: evidence
of a relative age effect (Article, English)
AUTHOR: de Araujo, CGS; de Oliveira, BRR; Brito, LVD; da Matta,
TT; Viana, BF; de Souza, CP; Guerreiro, RD; Slama, FA;
Portugal, EDM
SOURCE: JOURNAL OF APPLIED PHYSIOLOGY 112 (9). MAY 2012.
p.1434-1436 AMER PHYSIOLOGICAL SOC, BETHESDA
SEARCH TERM(S):
GARFIELD E INT MICROBIOL 10:65 2007;
GARFIELD E SCIENCE 122:108 1955;
GARFIELD E THEORETICAL MED 13:117 1992;
GARFIELD E SCIENCE 178:471 1972;
GARFIELD E INT J EPIDEMIOL 35:1123 2006;
GARFIELD E INT J EPIDEMIOL 35:1127 2006
KEYWORDS: impact factor; scientometrics; bibliometrics; indexing
KEYWORDS+: IMPACT FACTOR; SCIENCE; SPORTS; INDEXES; PARTICIPATION;
DOCUMENTATION; ASSOCIATION; COMPETITION; PHYSIOLOGY;
DIMENSION
ABSTRACT: de Araujo CGS, de Oliveira BRR, de Oliveira Brito LV, da
Matta TT, Viana BF, de Souza CP, de Carvalho Guerreiro R, Slama FA, da Matta Mello Portugal E. Two-year citations of JAPPL original articles:
evidence of a relative age effect. J Appl Physiol 112: 1434-1436, 2012.
First published March 1, 2012; doi:10.1152/japplphysiol.01491.2011.-
Several indicators have been used to analyze scientific journals, with the impact factor and the number of citations in a 2-yr calendar time frame (2-YRC) being the most common factors. However, considering that the Journal of Applied Physiology (JAPPL) appears monthly and that calculations of these indicators are based on citations of papers published in previous years, we hypothesized that articles published at the beginning of the year would be cited more in the 2-YRC compared with those appearing in the last issues of the year, a phenomena known as a relative age effect. Our objective was to confirm the existence of a relative age effect in the 2-YRC for original articles published in JAPPL. From 2005 to 2008, a total of 1,726 original articles were published, according to the Web of Science, and 9,973 citations in 2-YRC, varying from 0 to 45, with a mean of 5.78 for individual papers. Although there were no differences in the number of original articles published in a given month (P = 0.99), the 2-YRC varied considerably throughout the year, being higher for those earlier issues of the year, as shown by the linear regression analysis (r(2) = 0.76; P < 0.001). The 2-YRC began at
6.62 during the first 3 mo of the year, dropping by 10% at each 3-mo period. In summary, the longer an article has been out there, the more citations it collects. The relative age effect is a potential confounding variable for the assessment and interpretation of 2-YRC (using calendar
years) from JAPPL original articles.
AUTHOR ADDRESS: CGS de Araujo, Clinimex, Exercise Med Clin, Rua Siqueira
Campos 93-101, BR-22031070 Rio De Janeiro, RJ, Brazil
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TITLE: Exploratory factor analysis for the Hirsch index, 17 h-
type variants, and some traditional bibliometric indicators (Article,
English)
AUTHOR: Schreiber, M; Malesios, CC; Psarakis, S
SOURCE: JOURNAL OF INFORMETRICS 6 (3). JUL 2012. p.347-358
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): HIRSCH JE P NATL ACAD SCI USA 102:16569 2005;
BIBLIOMETR* item_title
KEYWORDS: Citation metrics; Exploratory factor analysis; h-Index; g-
Index
KEYWORDS+: MULTI-AUTHORED MANUSCRIPTS; SELF-CITATION CORRECTIONS;
SCIENTIFIC IMPACT; CITED PAPERS; MONTE-CARLO; R-INDEX;
PHYSICISTS; RECOVERY; OUTPUT; LEVEL
ABSTRACT: The purpose of this article is to come up with a valid
categorization and to examine the performance and properties of a wide range of h-type indices presented recently in the relevant literature. By exploratory factor analysis (EFA) we study the relationship between the h- index, its variants, and some standard bibliometric indicators of 26 physicists compiled from the Science Citation Index in the Web of Science. (C) 2012 Elsevier Ltd. All rights reserved.
AUTHOR ADDRESS: M Schreiber, Tech Univ Chemnitz, Inst Phys, D-09107
Chemnitz, Germany
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TITLE: Time-aware PageRank for bibliographic networks (Article,
English)
AUTHOR: Fiala, D
SOURCE: JOURNAL OF INFORMETRICS 6 (3). JUL 2012. p.370-388
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): BIBLIOGRAPHIC* item_title
KEYWORDS: PageRank; Citations; Collaboration; Time; Salient
researchers; Computer science
ABSTRACT: In the past, recursive algorithms, such as PageRank
originally conceived for the Web, have been successfully used to rank nodes in the citation networks of papers, authors, or journals. They have proved to determine prestige and not popularity, unlike citation counts.
However, bibliographic networks, in contrast to the Web, have some specific features that enable the assigning of different weights to citations, thus adding more information to the process of finding prominence. For example, a citation between two authors may be weighed according to whether and when those two authors collaborated with each other, which is information that can be found in the co-authorship network. In this study, we define a couple of PageRank modifications that weigh citations between authors differently based on the information from the co-authorship graph. In addition, we put emphasis on the time of publications and citations. We test our algorithms on the Web of Science data of computer science journal articles and determine the most prominent computer scientists in the 10-year period of 1996-2005. Besides a correlation analysis, we also compare our rankings to the lists of ACM A. M. Turing Award and ACM SIGMOD E. F. Codd Innovations Award winners and find the new time-aware methods to outperform standard PageRank and its time-unaware weighted variants. (C) 2012 Elsevier Ltd. All rights reserved.
AUTHOR ADDRESS: D Fiala, Univ W Bohemia, Univ 8, Plzen 30614, Czech Republic
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TITLE: Betweenness centrality as a driver of preferential
attachment in the evolution of research collaboration networks (Article,
English)
AUTHOR: Abbasi, A; Hossain, L; Leydesdorff, L
SOURCE: JOURNAL OF INFORMETRICS 6 (3). JUL 2012. p.403-412
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): MERTON RK rauth; PRICE DJD rauth;
MERTON RK SCIENCE 159:56 1968
KEYWORDS: Collaboration; Coauthorship; Network; Preferential
attachment; Cumulative advantage; Social network analysis;
Centrality
KEYWORDS+: SCIENTIFIC COLLABORATION; COAUTHORSHIP NETWORKS;
CUMULATIVE ADVANTAGE; SOCIAL NETWORK; SCIENCE; PATTERNS;
SCHOLARS; IMPACT; INDEX
ABSTRACT: We analyze whether preferential attachment in scientific
coauthorship networks is different for authors with different forms of centrality. Using a complete database for the scientific specialty of research about "steel structures," we show that betweenness centrality of an existing node is a significantly better predictor of preferential attachment by new entrants than degree or closeness centrality. During the growth of a network, preferential attachment shifts from (local) degree centrality to betweenness centrality as a global measure. An interpretation is that supervisors of PhD projects and postdocs broker between new entrants and the already existing network, and thus become focal to preferential attachment. Because of this mediation, scholarly networks can be expected to develop differently from networks which are predicated on preferential attachment to nodes with high degree centrality. (C) 2012 Elsevier Ltd. All rights reserved.
AUTHOR ADDRESS: A Abbasi, Univ Sydney, Fac Engn & IT, Ctr Complex Syst Res,
Sydney, NSW 2006, Australia
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TITLE: Five years "Journal of Informetrics" (Article, English)
AUTHOR: Egghe, L
SOURCE: JOURNAL OF INFORMETRICS 6 (3). JUL 2012. p.422-426
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): INFORMETRIC* item_title; JOURNAL item_title;
EGGHE L primaryauthor,author
KEYWORDS: Journal of Informetrics
KEYWORDS+: EXPANSION; FIELD
ABSTRACT: End of 2011, the Journal of Informetrics (Elsevier)
existed five years. We overview its scope, published articles (topics, co- authorship, authors' countries), editorial decisions, editorial and production times, impact factor and article downloads aspects. Finally we present a local citation environment map of JOI. (C) 2012 Elsevier Ltd.
All rights reserved.
AUTHOR ADDRESS: L Egghe, Univ Hasselt UHasselt, Campus
Diepenbeek,Agoralaan, B-3590 Diepenbeek, Belgium
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TITLE: Three-feature model to reproduce the topology of citation
networks and the effects from authors' visibility on their h-index
(Article, English)
AUTHOR: Amancio, DR; Oliveira, ON Jr; Costa, LD
SOURCE: JOURNAL OF INFORMETRICS 6 (3). JUL 2012. p.427-434
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): PRICE DJD rauth;
HIRSCH JE P NATL ACAD SCI USA 102:16569 2005;
CITATION item_title; CITATION* item_title;
GARFIELD E SCIENCE 178:471 1972
KEYWORDS: Scientometry; h-Index; Citation networks; Complex
networks; Network model
KEYWORDS+: COMPLEX NETWORKS; IMPACT; DISTRIBUTIONS; JOURNALS;
DYNAMICS; QUALITY; LAW
ABSTRACT: Various factors are believed to govern the selection of
references in citation networks, but a precise, quantitative determination of their importance has remained elusive. In this paper, we show that three factors can account for the referencing pattern of citation networks for two topics, namely "graphenes" and "complex networks", thus allowing one to reproduce the topological features of the networks built with papers being the nodes and the edges established by citations. The most relevant factor was content similarity, while the other two - in-degree (i.e. citation counts) and age of publication - had varying importance depending on the topic studied. This dependence indicates that additional factors could play a role. Indeed, by intuition one should expect the reputation (or visibility) of authors and/or institutions to affect the referencing pattern, and this is only indirectly considered via the in-degree that should correlate with such reputation. Because information on reputation is not readily available, we simulated its effect on artificial citation networks considering two communities with distinct fitness (visibility) parameters. One community was assumed to have twice the fitness value of the other, which amounts to a double probability for a paper being cited. While the h-index for authors in the community with larger fitness evolved with time with slightly higher values than for the control network (no fitness considered), a drastic effect was noted for the community with smaller fitness. (C) 2012 Elsevier Ltd. All rights reserved.
AUTHOR ADDRESS: DR Amancio, Univ Sao Paulo, Inst Phys Sao Carlos, POB 369,
BR-13560970 Sao Carlos, SP, Brazil
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TITLE: Factors affecting web links between European higher
education institutions (Article, English)
AUTHOR: Seeber, M; Lepori, B; Lomi, A; Aguillo, I; Barberio, V
SOURCE: JOURNAL OF INFORMETRICS 6 (3). JUL 2012. p.435-447
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): MERTON RK rauth;
MERTON RK SCIENCE 159:56 1968
KEYWORDS: Webometrics; Web links; Antecedents of relationships
KEYWORDS+: SITE INTERLINKING; ACADEMIC WEB; RESEARCH TEAMS; NETWORKS;
UNIVERSITY; SCIENCE; IMPACT; ORGANIZATIONS; COLLABORATION;
COMMUNICATION
ABSTRACT: We examine the extent to which the presence and number of
web links between higher education institutions can be predicted from a set of structural factors like country, subject mix, physical distance, academic reputation, and size. We combine two datasets on a large sample of European higher education institutions (HEIs) containing information on inter-university web links, and organizational characteristics, respectively. Descriptive and inferential analyses provide strong support for our hypotheses: we identify factors predicting the connectivity between HEIs, and the number of web links existing between them. We conclude that, while the presence of a web link cannot be directly related to its underlying motivation and the type of relationship between HEIs, patterns of network ties between HEIs present interesting statistical properties which reveal new insights on the function and structure of the inter organizational networks in which HEIs are embedded. (C) 2012 Elsevier Ltd. All rights reserved.
AUTHOR ADDRESS: M Seeber, Univ Lugano, Ctr Org Res, Via Lambertenghi,
CH-6900 Lugano, Switzerland
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TITLE: Finding the Easter eggs hidden by oneself: Why Radicchi
and Castellano's (2012) fairness test for citation indicators is not fair
(Letter, English)
AUTHOR: Sirtes, D
SOURCE: JOURNAL OF INFORMETRICS 6 (3). JUL 2012. p.448-450
ELSEVIER SCIENCE BV, AMSTERDAM
KEYWORDS+: DISTRIBUTIONS; UNIVERSALITY
AUTHOR ADDRESS: D Sirtes, Inst Forschungsinformat & Qualitatssicherung,
Schutzenstr 6, D-10117 Berlin, Germany
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TITLE: Calibration against a reference set: A quantitative
approach to assessment of the methods of assessment of scientific output
(Article, English)
AUTHOR: Kosmulski, M
SOURCE: JOURNAL OF INFORMETRICS 6 (3). JUL 2012. p.451-456
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): HIRSCH JE P NATL ACAD SCI USA 102:16569 2005
KEYWORDS: Citation analysis; Scientific output; Hirsch-type index
KEYWORDS+: H-INDEX; HIRSCH-INDEX
ABSTRACT: A set of authors whose scientific output can be
unequivocally ranged from the highest to the lowest is used to assess the methods of assessment of scientific output. The rank-rank correlation coefficient between the known order in the calibration set and the order produced by certain method of assessment is a quantitative measure of the quality of that method. A common-sense-based reference may play a positive role in the communication between the enthusiasts and antagonists of bibliometric indices. (C) 2012 Elsevier Ltd. All rights reserved.
AUTHOR ADDRESS: M Kosmulski, Lublin Univ Technol, Lublin, Poland
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TITLE: TURKISH CULTURE AND HACI BEKTAS VELI RESEARCH QUARTERLY,
2008-2010 (Article, Turkish)
AUTHOR: Al, U
SOURCE: TURK KULTURU VE HACI BEKTAS VELI-ARASTIRMA DERGISI (61).
SPR 2012. p.273-286 GAZI UNIV, TURK KULTURU VE HACI
BEKTAS VELI, ANKARA
SEARCH TERM(S): GARFIELD E rauth;
SENGUPTA IN LIBRI 42:75 1992
KEYWORDS: Turkish Culture and Haci Bektas Veli Research Quarterly;
bibliometrics; citation analysis
KEYWORDS+: CITATION ANALYSIS; BIBLIOMETRICS
ABSTRACT: Turkish Culture and Haci Bektas Veli Research Quarterly
has been indexed by the Arts & Humanities Citation Index since 2008. This research examines Turkish Culture and Haci Bektas Veli Research Quarterly and bibliometric features of its publications. The research carried out covers 212 publications between the years 2008-2010. In this context, some of the following research questions have been addressed: 1) Which types of sources (books, researches, articles, etc.) get cited more often in the publications? 2) What are the institutional affiliations of the authors of the publications? 3) What is the rate of literature obsolescence in Turkish Culture and Haci Bektas Veli Research Quarterly?
In conclusion, it is found out that all of the publications are written in Turkish. An important part of the contributors is affiliated with Gazi and Ataturk Universities. Books receive an overwhelming majority (91%) of all citations in Turkish Culture and Had Bektas Veli Research Quarterly.
Half of the sources cited in Turkish Culture and Haci Bektas Veli Research Quarterly have been published in the last 12 years.
AUTHOR ADDRESS: U Al, Hacettepe Univ, Bilgi & Belge Yonetimi Bolumu,
Ankara, Turkey
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TITLE: Innovation trajectories for information visualizations:
Comparing treemaps, cone trees, and hyperbolic trees (Article, English)
AUTHOR: Shneiderman, B; Dunne, C; Sharma, P; Wang, P
SOURCE: INFORMATION VISUALIZATION 11 (2). APR 2012. p.87-105
SAGE PUBLICATIONS LTD, LONDON
SEARCH TERM(S):
GARFIELD E J INFORM SCI 30:119 2004;
GARFIELD E J AM SOC INF SCI TEC 54:400 2003
KEYWORDS: information visualization; innovation trajectories;
graphical user interfaces; treemap; cone tree; hyperbolic
tree
KEYWORDS+: USER ACCEPTANCE; RESEARCH FRONTS; TECHNOLOGY; SPACE
ABSTRACT: This paper reviews the trajectory of three information
visualization innovations: treemaps, cone trees, and hyperbolic trees.
These three ideas were first published around the same time in the early 1990s, so we are able to track academic publications, patents, and trade press articles over almost two decades. We describe the early history of each approach, problems with data collection from differing sources, appropriate metrics, and strategies for visualizing these longitudinal data sets. This paper makes two contributions: (1) it offers the information visualization community a history of how certain ideas evolved, influenced others, and were adopted for widespread use and (2) it provides an example of how such scientometric trajectories of innovations can be gathered and visualized. Guidance for designers is offered, but these conjectures may also be useful to researchers, research managers, science policy analysts, and venture capitalists.
AUTHOR ADDRESS: B Shneiderman, Univ Maryland, Dept Comp Sci, College Pk, MD
20742 USA
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TITLE: The uses and abuses of bibliometrics (Editorial Material,
English)
AUTHOR: Johnson, MH; Cohen, J; Grudzinskas, G
SOURCE: REPRODUCTIVE BIOMEDICINE ONLINE 24 (5). MAY 2012.
p.485-486 ELSEVIER SCI LTD, OXFORD
SEARCH TERM(S): BIBLIOMETR* item_title; EDITORIAL doctype
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