Papers of interest to Sig Metrics
Eugene Garfield
eugene.garfield at THOMSONREUTERS.COM
Sun Mar 11 19:11:23 EDT 2012
TITLE: WORLD SHARES OF PUBLICATIONS OF THE USA, EU-27, AND CHINA
COMPARED AND PREDICTED USING THE NEW WEB OF SCIENCE INTERFACE VERSUS
SCOPUS (Article, English)
AUTHOR: Leydesdorff, L
SOURCE: PROFESIONAL DE LA INFORMACION 21 (1). JAN-FEB 2012.
p.43-49 EPI, BARCELONA
SEARCH TERM(S): SMALL H J INF SCI 11:147 1985
KEYWORDS: World share of publications; EU-27; China; USA; Cross-
over; Measurement; Scopus; Science citation index; SCIE;
Thomson-Reuters
KEYWORDS+: PERFORMANCE; INDICATORS; JOURNALS; SYSTEM; KOREA
ABSTRACT: The new interface of the Web of Science (Thomson Reuters)
enables users to retrieve sets larger than 100,000 documents in a single search. This makes it possible to compare publication trends for China, the USA, EU-27, and smaller countries with the data in the Scopus
(Elsevier) database. China no longer grew exponentially during the 2000s, but linearly. Contrary to previous predictions on the basis of exponential growth, the cross-over of the lines for China and the USA is postponed to the next decade (after 2020) according to this data. These long extrapolations, however, should be used only as indicators and not as predictions. Uncertainty in trends can be specified using the coefficient of determination of the regression (R-2) and confidence intervals. Along with the dynamics in the publication trends, one also has to take into account the dynamics of the databases used for the measurement.
AUTHOR ADDRESS: L Leydesdorff, Univ Amsterdam, Amsterdam Sch Commun Res
ASCoR, Kloveniersburgwal 48, NL-1012 CX Amsterdam,
Netherlands
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TITLE: Citations: not all measures are equal (Letter, English)
AUTHOR: Hooper, SL
SOURCE: NATURE 483 (7387). MAR 1 2012. p.36 NATURE PUBLISHING
GROUP, LONDON
SEARCH TERM(S): CITATION* item_title; LETTER* doctype
AUTHOR ADDRESS: SL Hooper, Ohio Univ, Athens, OH 45701 USA
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TITLE: Citations: results differ by database (Letter, English)
AUTHOR: Alcaraz, C; Morais, S
SOURCE: NATURE 483 (7387). MAR 1 2012. p.36 NATURE PUBLISHING
GROUP, LONDON
SEARCH TERM(S): CITATION* item_title; LETTER* doctype
AUTHOR ADDRESS: C Alcaraz, Inst Agrifood Res & Technol IRTA, San Carlos de
la Rapita, Spain
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TITLE: Can Tweets Predict Citations? Metrics of Social Impact
Based on Twitter and Correlation with Traditional Metrics of Scientific
Impact (Editorial Material, English)
AUTHOR: Eysenbach, G
SOURCE: JOURNAL OF MEDICAL INTERNET RESEARCH 13 (4). OCT-DEC
2011. p.NIL_1-NIL_20 JOURNAL MEDICAL INTERNET RESEARCH,
TORONTO
SEARCH TERM(S): GARFIELD E rauth; CITATION* item_title;
HIRSCH JE P NATL ACAD SCI USA 102:16569 2005;
GARFIELD E JAMA-J AM MED ASSOC 295:90 2006;
EDITORIAL doctype
KEYWORDS: bibliometrics; blogging; periodicals as topic; peer-
review; publishing; social media analytics;
scientometrics; infodemiology; infometrics;
reproducibility of results; medicine 2.0; power law;
Twitter
KEYWORDS+: 4 SCIENCE DISCIPLINES; PUBLIC-HEALTH; SEARCH;
INFODEMIOLOGY; INTERNET; INDEX
ABSTRACT: Background: Citations in peer-reviewed articles and the
impact factor are generally accepted measures of scientific impact. Web 2.0 tools such as Twitter, blogs or social bookmarking tools provide the possibility to construct innovative article-level or journal-level metrics to gauge impact and influence. However, the relationship of the these new metrics to traditional metrics such as citations is not known.
Objective: (1) To explore the feasibility of measuring social impact of and public attention to scholarly articles by analyzing buzz in social media, (2) to explore the dynamics, content, and timing of tweets relative to the publication of a scholarly article, and (3) to explore whether these metrics are sensitive and specific enough to predict highly cited articles.
Methods: Between July 2008 and November 2011, all tweets containing links to articles in the Journal of Medical Internet Research (JMIR) were mined. For a subset of 1573 tweets about 55 articles published between issues 3/2009 and 2/2010, different metrics of social media impact were calculated and compared against subsequent citation data from Scopus and Google Scholar 17 to 29 months later. A heuristic to predict the top- cited articles in each issue through tweet metrics was validated.
Results: A total of 4208 tweets cited 286 distinct JMIR articles. The distribution of tweets over the first 30 days after article publication followed a power law (Zipf, Bradford, or Pareto distribution), with most tweets sent on the day when an article was published (1458/3318, 43.94% of all tweets in a 60-day period) or on the following day (528/3318, 15.9%), followed by a rapid decay. The Pearson correlations between tweetations and citations were moderate and statistically significant, with correlation coefficients ranging from .42 to .72 for the log- transformed Google Scholar citations, but were less clear for Scopus citations and rank correlations. A linear multivariate model with time and tweets as significant predictors (P < .001) could explain 27% of the variation of citations. Highly tweeted articles were 11 times more likely to be highly cited than less-tweeted articles (9/12 or 75% of highly tweeted article were highly cited, while only 3/43 or 7% of less-tweeted articles were highly cited; rate ratio 0.75/0.07 = 10.75, 95% confidence interval, 3.4-33.6). Top-cited articles can be predicted from top-tweeted articles with 93% specificity and 75% sensitivity.
Conclusions: Tweets can predict highly cited articles within the first 3 days of article publication. Social media activity either increases citations or reflects the underlying qualities of the article that also predict citations, but the true use of these metrics is to measure the distinct concept of social impact. Social impact measures based on tweets are proposed to complement traditional citation metrics. The proposed twimpact factor may be a useful and timely metric to measure uptake of research findings and to filter research findings resonating with the public in real time.
AUTHOR ADDRESS: G Eysenbach, Univ Hlth Network, Ctr Global eHlth Innovat,
190 Elizabeth St, Toronto, ON M4L 3Y7, Canada
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TITLE: Bibliometric indicators for the analysis of the research
performance of a multidisciplinary institution: the CSIC (Article,
English)
AUTHOR: Gonzalez-Albo, B; Moreno, L; Morillo, F; Bordons, M
SOURCE: REVISTA ESPANOLA DE DOCUMENTACION CIENTIFICA 35 (1).
2012. p.9-37 CONSEJO SUPERIOR DE INVESTIGACIONES
CIENTIFICAS, MADRID
SEARCH TERM(S): GARFIELD E rauth; BIBLIOMETR* item_title
KEYWORDS: Bibliometric indicators; Spanish National Research
Council (CSIC); research evaluation; scientific areas;
institutional assessment; Web of Science (WoS)
KEYWORDS+: NATIONAL-RESEARCH-COUNCIL; RESEARCH COLLABORATION;
SCIENTIFIC ACTIVITY; SOCIAL-SCIENCES; DATABASES;
PRODUCTIVITY; UNIVERSITIES; HUMANITIES; SEARCH; POLICY
ABSTRACT: An overview is provided of CSIC's research performance in
the context of Spain, through a study of its scholarly production in the Web of Science database, complemented with ICYT and ISOC, during the period 2004-2009. The eight scientific and technical areas in which CSIC's centers are organised differ as to their national or international research orientation, their basic or applied nature, the degree of their collaboration and the size of their research teams; all of which influences each area's publication and citation practices as well as its WoS-based productivity. The specific features of the different areas must be thoroughly understood in order to expound on and interpret properly the results of studies dealing with research evaluation.
AUTHOR ADDRESS: B Gonzalez-Albo, CSIC, CCHS, IEDCYT, Madrid, Spain
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TITLE: The study of politics in germany: a bibliometric analysis
of subfields and methods (Editorial Material, English)
AUTHOR: Pehl, M
SOURCE: EUROPEAN POLITICAL SCIENCE 11 (1). MAR 2012. p.54-70
PALGRAVE MACMILLAN LTD, BASINGSTOKE
SEARCH TERM(S): BIBLIOMETR* item_title; EDITORIAL doctype
KEYWORDS: political science; Germany; Politische
Vierteljahresschrift; Zeitschrift fur Politikwissenschaft
KEYWORDS+: SCIENCE; JOURNALS
ABSTRACT: In this article, we present an inventory of the published
articles in two German political science journals: the Politische Vierteljahresschrift (PVS) and the Zeitschrift fur Politikwissenschaft (ZPol, formerly Jahrbuch fur Politik) from 1960 to 2003 and from 1994 to 2003, respectively. Our focus is on the methodological orientations of the articles and the coverage of thematic subfields of political science.
The resulting analysis shows that until the 1990s, German political science (as presented in these journals) was mainly non-comparative, non- quantitative, theoretical and inward-oriented. For one of the two journals, this long-term trend has significantly changed since the 1990s.
AUTHOR ADDRESS: M Pehl, Coll Charleston, Dept Int Studies, 66 George St,
Charleston, SC 29424 USA
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Title: On first quartile journals which are not of highest impact
Authors: Garcia, JA; Rodriguez-Sanchez, R; Fdez-Valdivia, J; Martinez-Baena, J
Author Full Names: Garcia, J. A.; Rodriguez-Sanchez, Rosa; Fdez-Valdivia, J.; Martinez-Baena, J.
Source: SCIENTOMETRICS, 90 (3):925-943; 10.1007/s11192-011-0534-3 MAR 2012
Language: English
Document Type: Article
Author Keywords:
Publication analysis; Quartiles of ISI impact factor; Journal classification; Impact factor; SJR; Fuzzy clustering; Multivariate indicator space
KeyWords Plus:
FUZZY
Abstract:
Here we study the relationship between journal quartile rankings of ISI *impact factor* (at the 2010) and journal classification in four impact classes, i.e., highest impact, medium highest impact, medium lowest impact, and lowest impact journals in subject category computer science artificial intelligence. To this aim, we use fuzzy maximum likelihood estimation clustering in order to identify groups of journals sharing similar characteristics in a multivariate indicator space. The seven variables used in this analysis are: (1) Scimago Journal Ranking (SJR); (2) H-Index (H); (3) ISI *impact factor* (IF); (4) 5-Year *Impact Factor* (5IF); (5) Immediacy Index (II); (6) Eigenfactor Score (ES); and (7) Article Influence Score (AIS). The fuzzy clustering allows impact classes to overlap, thereby accommodating for uncertainty related to the confusion about the impact class attribution for a journal and vagueness in impact classes definition. This paper demonstrates the complex rel!
ationship between quartiles of ISI *impact factor* and journal impact classes in the multivariate indicator space. And that several indicators should be used for a distinct analysis of structural changes at the score distribution of journals in a subject category. Here we propose it can be performed in a multivariate indicator space using a fuzzy classifier.
Reprint Address:
Garcia, JA (reprint author), Univ Granada, Dept Ciencias Computac & IA, CITIC UGR, E-18071 Granada, Spain
Addresses:
[Garcia, J. A.; Rodriguez-Sanchez, Rosa; Fdez-Valdivia, J.; Martinez-Baena, J.] Univ Granada, Dept Ciencias Computac & IA, CITIC UGR, E-18071 Granada, Spain
E-mail Address:
jags at decsai.ugr.es
Funding Acknowledgement:
Spanish Board for Science and Technology (MICINN)[TIN2010-15157]; European FEDER
Funding Text:
This research was sponsored by the Spanish Board for Science and Technology (MICINN) under grant TIN2010-15157 cofinanced with European FEDER funds. Thanks are due to the reviewers for their constructive suggestions.
Cited Reference Count:
29
Publisher: SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
DOI:
10.1007/s11192-011-0534-3
Subject Category:
Computer Science; Information Science & Library Science
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Title: Iranian *research* *output* in pediatrics: 1975-2007
Authors: Malekahmadi, MR; Moazen, B; Khoshdel, A; Rahimzadeh, F; Lankarani, MM
Author Full Names:
Malekahmadi, Mohammad Reza; Moazen, Babak; Khoshdel, AbolfazI; Rahimzadeh, Fereshteh; Lankarani, Maryam Moghani
Source: JOURNAL OF RESEARCH IN MEDICAL SCIENCES, 16 (12):1605-1611; DEC 2011
Language: English
Document Type: Article
Author Keywords:
Periodicals as Topic; Biomedical Research; Pediatrics; Bibliometrics; Journal Impact Factor; Iran
KeyWords Plus: BIOMEDICAL-RESEARCH; IMPACT FACTOR; SCIENCE
Abstract:
BACKGROUND: By providing a picture from published articles in a field, bibliometric studies can inform policy-makers in their challenging research funding decisions. In this regard, we applied bibliometric analysis to the Iranian pediatrics articles published in PubMed indexed journals between 1975 and 2007.
METHODS: We evaluated all pediatric articles that had been published from Iran in different PubMed indexed journals from 1975 to 2007. Journal data (i.e. date of publishing, journal name, *impact factor* of the journal, language), authors data (i.e. number of authors, international collaboration, affiliation of the corresponding author), and paper characteristics [i.e. type of article, research design, study population (neonate, infant, child, and adolescent), and specialty] were registered.
RESULTS: During this period of time, 819 articles from Iran had been published in PubMed indexed journals, with a sharp increasing trend after 2002. Impact factors were up to 25.8. Paper had an international co-author in 13.7%. Regarding study population, 24.1% of studies were published on neonates, 23.6% on infants, and the remaining 66.3% of studies were performed on children and adolescents from 2 to 18 years old. Infectious disease was the most frequent area of research, followed by public health and metabolic disease. Original articles were the most frequent type (89.7%) of the published articles. Study design was cross-sectional in 51.2%, retrospective in 36.3%, and prospective in 11.6%. Clinical trials made up 4.8% of the total papers.
CONCLUSIONS: Contribution of Iran in production of pediatrics science is showing a sharp increase after 2002, this pattern is in parallel with other research fields.
Reprint Address:
Malekahmadi, MR (reprint author), Shahrekord Univ Med Sci, Dept Pediat, Sch Med, Shahrekord, Iran
Addresses:
[Malekahmadi, Mohammad Reza; Khoshdel, AbolfazI] Shahrekord Univ Med Sci, Dept Pediat, Sch Med, Shahrekord, Iran [Rahimzadeh, Fereshteh] Kashan Univ Med Sci, Kashan, Iran [Lankarani, Maryam Moghani] Med & Hlth Promot Inst, Tehran, Iran Univ Michigan, Dept Hlth Behav & Hlth Educ, Sch Publ Hlth, Ann Arbor, MI 48109 USA
E-mail Address: cru-common at yahoo.com
Funding Acknowledgement: Medicine and Health Promotion Institute, Tehran, Iran
Funding Text: This paper is the result of a study funded by Medicine and Health Promotion Institute, Tehran, Iran. Universal Network for Health Information Dissemination and Exchange (UNHIDE) has provided assistance in manuscript preparation for the corresponding author.
Cited Reference Count:
28
Publisher:
ISFAHAN UNIV MED SCIENCES, HEZARJERIB AVE, PO BOX 81745-319, ISFAHAN, 00000, IRAN
Subject Category: General & Internal Medicine
Cited References:
AMIRSALARI S, 2008, IRANIAN J PEDIAT S1, V18, P21 *NAT LIBR MED, 2010, NUMB TITL CURR IND I, BORIC V, 2006, ACTA STOMATOL CROAT, V40, P218 BEN AA, 2002, TUNIS MED, V80, P548 Aslani J, 2007, TRANSPLANTATION PROCEEDINGS, V39, P788 MALEKZADEH R, 2001, ARCH IRAN MED, V4, P27 ASSARI S, 2008, 1 INT IR BIBL C, Parides MK, 2006, ANNALS OF THORACIC SURGERY, V82, P1140 Rezaei-Ghaleh N, 2007, ARCHIVES OF IRANIAN MEDICINE, V10, P182 Falagas ME, 2008, FASEB JOURNAL, V22, P338 GHAMSARI FT, 2007, LIB INFORM SCI, V10, P107 Benamer HTS, 2009, BMC MEDICAL RESEARCH METHODOLOGY, V9, Assari S, 2009, INTERNATIONAL DENTAL JOURNAL, V59, P210 MOVAGHAR AR, 2006, HAKIM J, V8, P37 FRANK G, 2004, SOCRA SOURCE, Prendiville TW, 2009, ARCHIVES OF DISEASE IN CHILDHOOD, V94, P633 Kurmis AP, 2003, JOURNAL OF BONE AND JOINT SURGERY-AMERICAN VOLUME, V85A, P2449 GHALEH NR, 2006, J RES MED SCI, V30, P232 EINOLLAHI B, 2007, IJKD, V1, P57 GHARIB R, 2004, ACH IRANIAN MED, V7, P239 PETRAK J, 2001, LIJEC VJESN, V123, P77 Najib K, 2007, IRANIAN JOURNAL OF PEDIATRICS, V17, P359 Trapero-Marugan M, 2006, REVISTA ESPANOLA DE ENFERMEDADES DIGESTIVAS, V98, P255 TAUBES G, 1993, SCIENCE, V260, P884 *WHO, 2010, COUNTR PROF REG SIT, *OFF SUPR LEAD SAY, 2008, SCI PROGR MUST TURN, GUDARZI SHS, 2009, IJPCP, V15, P159 Samadikuchaksaraei A, 2008, BIOMEDICAL ENGINEERING ONLINE, V7,
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