articles by Companario and others

Thu Jan 7 14:30:03 EST 2010

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Title: Surviving bad times: The role of citations, self-citations and
numbers of citable items in recovery of the journal impact factor after
at least four years of continuous decreases

Authors: Campanario, JM; Molina, A 

Author Full Names: Miguel Campanario, Juan; Molina, Antonio

Source: SCIENTOMETRICS 81 (3): 859-864 DEC 2009

Language: English

Document Type: Article

KeyWords Plus: LABELED EDITORIAL MATERIAL; INDEX

Abstract: We studied the influence of the number of citations, the
number of citable items and the number of journal self-citations on
increases in the impact factor (IF) in 123 journals from the Journal
Citation Reports database in which this scientometric indicator had
decreased during the previous four years. In general, we did not find
evidence that abuse of journal self-citations contributed to the
increase in the impact factor after several years of decreases.

Reprint Address: Campanario, JM, Univ Alcala de Henares, Dept Fis,
Madrid 28871, Spain.

Research Institution addresses: [Miguel Campanario, Juan; Molina,
Antonio] Univ Alcala de Henares, Dept Fis, Madrid 28871, Spain

E-mail Address: juan.campanario at uah.es

Funding Acknowledgement: Spanish Ministry of Science and Technology
(Direccion General de Investigacion) ; European Regional Development
Fund (ERDF/FEDER) [SEJ200766236/SOCI]

Funding Text: This work was supported by a grant from the Spanish
Ministry of Science and Technology (Direccion General de Investigacion)
and the European Regional Development Fund (ERDF/FEDER, project
SEJ200766236/SOCI). We thank K. Shashok for improving the use of English
in the manuscript and for suggestions about the content.

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Cited Reference Count: 9

Times Cited: 0

Publisher: SPRINGER; VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT,
NETHERLANDS

DOI: 10.1007/s11192-008-2257-7

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Open Access journal 

Title: Article-Level Metrics and the Evolution of Scientific Impact

Authors: Neylon, C; Wu, S 

Author Full Names: Neylon, Cameron; Wu, Shirley

Source: PLOS BIOLOGY 7 (11): Art. No. e1000242 NOV 2009

Language: English

Document Type: Article

KeyWords Plus: SCIENCE

Reprint Address: Neylon, C, Rutherford Appleton Lab, Sci & Technol Facil
Council, Didcot OX11 0QX, Oxon, England.

Research Institution addresses: [Neylon, Cameron] Rutherford Appleton
Lab, Sci & Technol Facil Council, Didcot OX11 0QX, Oxon, England; [Wu,
Shirley] 23andMe, Mountain View, CA USA

E-mail Address: swu at 23andme.com

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10.1371/JOURNAL.PMED.0030291.
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Cited Reference Count: 18

Times Cited: 0

Publisher: PUBLIC LIBRARY SCIENCE; 185 BERRY ST, STE 1300, SAN
FRANCISCO, CA 94107 USA

Subject Category: Biochemistry & Molecular Biology; Biology

ISSN: 1544-9173

DOI: 10.1371/journal.pbio.1000242

IDS Number: 522WY

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Title: A comparative analysis of social sciences citation tools

Authors: Levine-Clark, M; Gil, E 

Author Full Names: Levine-Clark, Michael; Gil, Esther

Source: ONLINE INFORMATION REVIEW 33 (5): 986-996 2009

Language: English

Document Type: Article

Author Keywords: Software tools; Databases

KeyWords Plus: WEB-OF-SCIENCE; GOOGLE-SCHOLAR; IMPACT FACTOR; INDEXES;
SCOPUS

Abstract: Purpose - The purpose of this paper is to identify the utility
of Web of Science, Scopus and Google Scholar as citation analysis tools
for the social sciences.
Design/methodology/approach - The 25 most-accessed articles in 163
social sciences journals are searched in three citation databases.
Findings - Web of Science has long been the only tool for citation
analysis. Scopus and Google Scholar, while still new to the market, are
complementary to Web of Science and in some cases can provide a more
nuanced view of the importance of scholarly articles in the social
sciences.
Practical implications - As libraries struggle to provide the best tools
to their users, they may wish to consider the freely-available Google
Scholar as a substitute or complement to expensive databases such as Web
of Science and Scopus.
Originality/value - Most analyses of citation databases have focused on
the sciences. Because this study examined the social sciences
literature, it has expanded on the research available on Web of Science,
Google Scholar and Scopus.

Reprint Address: Levine-Clark, M, Univ Denver, Penrose Lib, Denver, CO
80208 USA.

Research Institution addresses: [Levine-Clark, Michael; Gil, Esther]
Univ Denver, Penrose Lib, Denver, CO 80208 USA

E-mail Address: Michael.levine-clark at du.edu

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Cited Reference Count: 28

Times Cited: 0

Publisher: EMERALD GROUP PUBLISHING LIMITED; HOWARD HOUSE, WAGON LANE,
BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND

Subject Category: Computer Science, Information Systems; Information
Science & Library Science

ISSN: 1468-4527

DOI: 10.1108/14684520911001954

IDS Number: 521LF

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   ] 

Title: The International Publication Productivity of Malaysia in Social
Sciences DEVELOPING A SCIENTIFIC POWER INDEX

Authors: Davarpanah, MR 

Author Full Names: Davarpanah, Mohammad Reza

Source: JOURNAL OF SCHOLARLY PUBLISHING 41 (1): 67-91 OCT 2009

Language: English

Document Type: Article

Author Keywords: social sciences; Malaysia; publication output; citation
impact; scientific power index (PI)

KeyWords Plus: ECONOMICS

Abstract: The purpose of this study is to evaluate publication output
and citation impact in the social sciences in Malaysia, based on Social
Science Citation Index (SSCI) data, for the period 1999-2008. In
addition to the analysis of trends in publication and citation patterns
and national publication profiles, an attempt is made to explore the
strengths and weakness of different fields, using a new mathematical
index, the scientific power index (PI). The findings indicate that
publication output in the social sciences has been on the increase since
1999. Mostpapers have been published in median-impact-factor Journals
(mean impact factor of 2.72 per paper). Internationally co-authored
publications represented 77 per cent of all citations. Most of the
prolific authors are from the highly productive institutions; however,
none of highly cited first authors are from highly productive
institutions. Psychology, economics, management, and environmental
studies a! re the dominant fields in Malaysian social sciences.

Reprint Address: Davarpanah, MR, Ferdowsi Univ Mashhad, Dept Lib &
Informat Sci, Fac Educ & Psychol, Mashhad, Iran.

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Cited Reference Count: 18

Publisher: UNIV TORONTO PRESS INC; JOURNALS DIVISION, 5201 DUFFERIN ST,
DOWNSVIEW, TORONTO, ON M3H 5T8, CANADA

DOI: 10.3138/jsp.41.1.67

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Title: A Comparison of Impact Factor, Clinical Query Filters, and
Pattern Recognition Query Filters in Terms of Sensitivity to Topic

Authors: Fu, LD; Wang, L; Aphinyanagphongs, Y; Aliferis, CF 

Author Full Names: Fu, Lawrence D.; Wang, Lily; Aphinyanagphongs,
Yindalon; Aliferis, Constantin F.

Editor(s): Kuhn, KA; Warren, JR; Leong, TY

Source: MEDINFO 2007: PROCEEDINGS OF THE 12TH WORLD CONGRESS ON HEALTH
(MEDICAL) INFORMATICS, PTS 1 AND 2 129: 716-720 2007

Book series title: Studies in Health Technology and Informatics

Language: English

Document Type: Proceedings Paper

KeyWords Plus: MEDLINE

Abstract: Evaluating journal quality and finding high-quality articles
in the biomedical literature are challenging information retrieval
tasks. The most widely used method for journal evaluation is impact
factor, while novel approaches for finding articles are PubMed's
clinical query filters and machine learning-based filter models. The
related literature has focused on the average behavior of these methods
over all topics. The present study evaluates the variability of these
approaches for different topics. We find that impact factor and clinical
query filters are unstable for different topics while a topic-specific
impact factor and machine learning-based filter models appear more
robust. Thus when using the less stable methods for a specific topic,
researchers should realize that their performance may diverge from
expected average performance. Better yet, the more stable methods should
be preferred whenever applicable.

Reprint Address: Fu, LD, Vanderbilt Univ, Dept Biomed Informat,
Nashville, TN 37235 USA.

Research Institution addresses: [Fu, Lawrence D.; Aphinyanagphongs,
Yindalon; Aliferis, Constantin F.] Vanderbilt Univ, Dept Biomed
Informat, Nashville, TN 37235 USA

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Cited Reference Count: 15

Publisher: I O S PRESS; NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS

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