of possible interest to SIG Metics readers

Eugene Garfield eugene.garfield at THOMSONREUTERS.COM
Tue Nov 1 15:24:20 EDT 2011


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TITLE:          Patterns of Iranian co-authorship networks in social
                sciences: A comparative study (Article, English)
AUTHOR:         Nikzad, M; Jamali, HR; Hariri, N
SOURCE:         LIBRARY & INFORMATION SCIENCE RESEARCH 33 (4). OCT 2011.
                p.313-319 ELSEVIER SCIENCE INC, NEW YORK

SEARCH TERM(S):  PRICE DJD  rauth

KEYWORDS+:       SCIENTIFIC COLLABORATION; MULTIPLE AUTHORSHIP; CITATION
                RATES; IMPACT; QUALITY; SINGLE; CHEMISTRY; ARTICLES

ABSTRACT:       Collaboration in science is a process in which two or
more authors share their ideas, resources and data to create a joint work. This research compares coauthorship networks of Iranian articles in library and information science (LIS), psychology (PSY), management (MNG), and economics (ECO) in the ISI Web of Knowledge database during 2000-2009, and uses network analysis for the visualization of coauthorship networks. Data include all articles with at least one Iranian author and indexed in ISI's Social Science Citation Index (SSCI) for the fields of US, PSY, MNG, and ECO. Indicators such as the Collaborative Index (CI), Degree of Collaboration (DC) and Collaboration Coefficient (CC) were calculated for each discipline. Results show that two or three authors were the most common number of authors per paper, and authors of PSY tended to have more multi-authored articles, compared to the other disciplines. LIS had the lowest rank regarding CC. MNG had the densest coauthorship network. and PSY had the sparsest. Iranian authors in the field of PSY mostly collaborated with those in the U.S..
while LIS and MNG authors tended to collaborate with U.K. authors, and ECO authors tended to collaborate with Canadians. (C) 2011 Elsevier Inc.
All rights reserved.

AUTHOR ADDRESS: M Nikzad, Islamic Azad Univ, LIS Dept, Sci & Res Branch,
                Tehran, Iran
 
 
 
 
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TITLE:          Application of the Distribution of Citations Among
                Publications in Scientometric Evaluations (Article, English)
AUTHOR:         Vinkler, P
SOURCE:         JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
                AND TECHNOLOGY 62 (10). OCT 2011. p.1963-1978
                WILEY-BLACKWELL, MALDEN

SEARCH TERM(S):  GARFIELD E  rauth;
                 GROSS PLK          SCIENCE                66:385   1927;
                 HIRSCH JE          P NATL ACAD SCI USA   102:16569 2005;
                 SEGLEN PO          J AM SOC INFORM SCI    45:1     1994;
                 SEGLEN PO          J AM SOC INFORM SCI    43:628   1992;
                 SCIENTOMETRIC*  item_title; CITATION*  item_title;
                 GARFIELD E         AM DOC                 14:195   1963;
                 GARFIELD E         NATURE                264:609   1976

KEYWORDS+:       HIGHLY CITED PAPERS; H-INDEX; IMPACT FACTOR; BIBLIOMETRIC
                INDICATORS; SCIENTIFIC PERFORMANCE; JOURNAL IMPACT;
                HIRSCH INDEX; R-INDEX; SCIENCE; PHYSICISTS

ABSTRACT:       The pi-indicator (or pi(v)-indicator) of a set of journal
papers is equal to a hundredth of the total number of citations obtained by the elite set of publications. The number of publications in the elite set P(pi) is calculated as the square root of total papers. For greater sets the following equation is used: P(pi(v))=(10 log P) - 10, where P is the total number of publications. For sets comprising a single or several extreme frequently cited paper, the pi-index may be distorted. Therefore, a new indicator based on the distribution of citations is suggested.
Accordingly, the publications are classified into citation categories, of which lower limits are given as 0, and (2(n) + 1), whereas the upper limits as 2(n) (n = 0, 2, 3, etc.). The citations distribution score
(CDS) index is defined as the sum of weighted numbers of publications in the individual categories. The CDS-index increases logarithmically with the increasing number of citations. The citation distribution rate indicator is introduced by relating the actual CDS-index to the possible maximum. Several size-dependent and size-independent indicators were calculated. It has been concluded that relevant, already accepted scientometric indicators may validate novel indices through resulting in similar conclusions ("converging validation of indicators").

AUTHOR ADDRESS: P Vinkler, Hungarian Acad Sci, Chem Res Ctr, Pusztaszeri Ut
                59-67, H-1025 Budapest, Hungary
 
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TITLE:          Ranking of the Subject Areas of Scopus (Article, English)
AUTHOR:         Garcia, JA; Rodriguez-Sanchez, R; Fdez-Valdivia, J
SOURCE:         JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
                AND TECHNOLOGY 62 (10). OCT 2011. p.2013-2023
                WILEY-BLACKWELL, MALDEN

SEARCH TERM(S):  GARFIELD E  rauth;
                 GARFIELD E         JAMA-J AM MED ASSOC   295:90    2006

KEYWORDS+:       JOURNAL IMPACT FACTOR; INDICATOR; POVERTY

ABSTRACT:       Here, we show a longitudinal analysis of the ranking of
the subject areas of Elsevier's Scopus. To this aim, we present three summary measures based on the journal ranking scores for academic journals in each subject area. This longitudinal study allows us to analyze developmental trends over times in different subject areas with distinct citation and publication patterns. We evaluate the relative performance of each subject area by using the overall prestige for the most important journals with ranking score above a given threshold (e.g., in the first quartile) as well as the overall prestige gap for the less important journals with ranking score below a given threshold (e.g., below the top 10 journals). Thus, we propose that it should be possible to study different subject areas by means of appropriate summary measures of the journal ranking scores, which provide additional information beyond analyzing the inequality of the whole ranking-score distribution for academic journals in each subject area. It allows us to investigate whether subject areas with high levels of overall prestige for the first quartile journals also tended to achieve low levels of overall prestige gap for the journals below the top 10.

AUTHOR ADDRESS: JA Garcia, Univ Granada, CITIC UGR, Dept Ciencias Comp &
                IA, E-18071 Granada, Spain

 
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TITLE:          A multilevel modelling approach to investigating the
                predictive validity of editorial decisions: do the editors of a high
                profile journal select manuscripts that are highly cited after
                publication? (Article, English)
AUTHOR:         Bornmann, L; Mutz, R; Marx, W; Schier, H; Daniel, HD
SOURCE:         JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES
                A-STATISTICS IN SOCIETY 174 (Pt 4). 2011. p.857-879
                WILEY-BLACKWELL, MALDEN

SEARCH TERM(S):  PENDLEBURY DA  rauth;
                 WILSON JD          J CLIN INVEST          61:1697  1978;
                 CITED  item_title; JOURNAL  item_title

KEYWORDS:       Chemistry; Editorial decisions; Multilevel modelling;
                Peer review; Predictive validity; Reference standard
KEYWORDS+:       ANGEWANDTE-CHEMIE; CITATION ANALYSIS; IMPACT FACTOR;
                SCIENTIFIC EXCELLENCE; RESEARCH PERFORMANCE; LONGITUDINAL
                DATA; INDICATORS; INDEX; DISTRIBUTIONS; UNIVERSALITY

ABSTRACT:       Scientific journals must deal with the following
questions concerning the predictive validity of editorial decisions. Is the best scientific work selected from submitted manuscripts? Does selection of the best manuscripts also mean selecting papers that after publication show top citation performance within their fields? Taking the journal Angewandte Chemie International Edition as an example, this study proposes a new methodology for investigating whether manuscripts that are most worthy of publication are in fact selected validly. First, the influence on citation of the accepted and rejected but then published elsewhere manuscripts was appraised on the basis of percentile impact classes scaled in a subfield of chemistry and, second, the association between the decisions on selection and the influence on citation of the manuscripts was determined by using a multilevel logistic regression for ordinal categories. This approach has many advantages over methodologies that were used in previous research studies on the predictive validity of editorial selection decisions.

AUTHOR ADDRESS: L Bornmann, Max Planck Soc, Hofgartenstr 8, D-80539 Munich,
                Germany

 
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