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    Impact of Data Sources on Citation Counts and Rankings of LIS Faculty: Web of Science vs. Scopus and Google Scholar

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    Author
    Meho, Lokman I.
    Yang, Kiduk
    Issue Date
    2007-01
    Submitted date
    2007-01-27
    Keywords
    Databases
    Citation Analysis
    Bibliometrics
    Information Retrieval
    Web Metrics
    Internet
    Database Searching Instructions
    Informetrics
    Local subject classification
    Web of Science
    Scopus
    Google Scholar
    Citation analysis
    Bibliometrics
    Research evaluation
    Informetrics
    Webometrics
    Scientometrics
    Databases
    Database evaluation
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    Citation
    Impact of Data Sources on Citation Counts and Rankings of LIS Faculty: Web of Science vs. Scopus and Google Scholar 2007-01,
    URI
    http://hdl.handle.net/10150/105208
    Abstract
    The Institute for Scientific Information's (ISI) citation databases have been used for decades as a starting point and often as the only tools for locating citations and/or conducting citation analyses. ISI databases (or Web of Science [WoS]), however, may no longer be sufficient because new databases and tools that allow citation searching are now available. Using citations to the work of 25 library and information science faculty members as a case study, this paper examines the effects of using Scopus and Google Scholar (GS) on the citation counts and rankings of scholars as measured by WoS. Overall, more than 10,000 citing and purportedly citing documents were examined. Results show that Scopus significantly alters the relative ranking of those scholars that appear in the middle of the rankings and that GS stands out in its coverage of conference proceedings as well as international, non-English language journals. The use of Scopus and GS, in addition to WoS, helps reveal a more accurate and comprehensive picture of the scholarly impact of authors. WoS data took about 100 hours of collecting and processing time, Scopus consumed 200 hours, and GS a grueling 3,000 hours.
    Type
    Preprint
    Language
    en
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