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Comparison of citation and usage indicators: the case of oncology journals

Author

Listed:
  • Christian Schloegl

    (University of Graz)

  • Juan Gorraiz

    (University of Vienna)

Abstract

It is the objective of this article to examine in which aspects journal usage data differ from citation data. This comparison is conducted both at journal level and on a paper by paper basis. At journal level, we define a so-called usage impact factor and a usage half-life in analogy to the corresponding Thomson’s citation indicators. The usage data were provided from Science Direct, subject category “oncology”. Citation indicators were obtained from JCR, article citations were retrieved from SCI and Scopus. Our study shows that downloads and citations have different obsolescence patterns. While the average cited half-life was 5.6 years, we computed a mean usage half-life of 1.7 years for the year 2006. We identified a strong correlation between the citation frequencies and the number of downloads for our journal sample. The relationship was lower when performing the analysis on a paper by paper basis because of existing variances in the citation-download-ratio among articles. Also the correlation between the usage impact factor and Thomson’s journal impact factor was “only” moderate because of different obsolescence patterns between downloads and citations.

Suggested Citation

  • Christian Schloegl & Juan Gorraiz, 2010. "Comparison of citation and usage indicators: the case of oncology journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 567-580, March.
  • Handle: RePEc:spr:scient:v:82:y:2010:i:3:d:10.1007_s11192-010-0172-1
    DOI: 10.1007/s11192-010-0172-1
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    References listed on IDEAS

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    1. John D. McDonald, 2007. "Understanding journal usage: A statistical analysis of citation and use," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(1), pages 39-50, January.
    2. Michael J. Kurtz & Guenther Eichhorn & Alberto Accomazzi & Carolyn Grant & Markus Demleitner & Stephen S. Murray & Nathalie Martimbeau & Barbara Elwell, 2005. "The bibliometric properties of article readership information," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(2), pages 111-128, January.
    3. Henk F. Moed, 2005. "Statistical relationships between downloads and citations at the level of individual documents within a single journal," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(10), pages 1088-1097, August.
    4. Johan Bollen & Herbert Van de Sompel, 2008. "Usage impact factor: The effects of sample characteristics on usage‐based impact metrics," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(1), pages 136-149, January.
    5. Tim Brody & Stevan Harnad & Leslie Carr, 2006. "Earlier Web usage statistics as predictors of later citation impact," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(8), pages 1060-1072, June.
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