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An empirical investigation of the associations among usage, scientific collaboration and citation impact

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  • Pei-Shan Chi

    (KU Leuven)

  • Wolfgang Glänzel

    (KU Leuven
    Library of the Hungarian Academy of Sciences)

Abstract

In this study usage counts and times cited from Web of Science Core Collection (WoS) were collected for articles published in 2013 with Belgian, Israeli and Iranian addresses. We investigated the relations among three indicators related to citation impact, usage counts and co-authorship, respectively. In addition, we applied the method of Characteristic Scores and Scales (CSS) to analyse the distributions of citations and usage counts to further test the relation between the usage and citation impact. The results show that citations and usage counts in WoS correlate significantly, especially in the social sciences. However, higher numbers of co-authors are not associated with higher usage counts or citations. Furthermore, the stability of CSS-class distributions substantiates the applicability of CSS in characterising both usage and citation distributions. Distinctly different patterns in citations and usage are observed, but the similarities within citations and usage in these fields are somewhat unexpected.

Suggested Citation

  • Pei-Shan Chi & Wolfgang Glänzel, 2017. "An empirical investigation of the associations among usage, scientific collaboration and citation impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 403-412, July.
    • Handle: RePEc:spr:scient:v:112:y:2017:i:1:d:10.1007_s11192-017-2356-4
    DOI: 10.1007/s11192-017-2356-4
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    References listed on IDEAS

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    Cited by:

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    3. Barbara McGillivray & Mathias Astell, 2019. "The relationship between usage and citations in an open access mega-journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 817-838, November.
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    8. Pei-Shan Chi & Wolfgang Glänzel, 2018. "Comparison of citation and usage indicators in research assessment in scientific disciplines and journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 537-554, July.
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    10. Yezhu Wang & Yundong Xie & Dong Wang & Lu Guo & Rongting Zhou, 2022. "Do cover papers get better citations and usage counts? An analysis of 42 journals in cell biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3793-3813, July.
    11. Mingyang Wang & Zhenyu Wang & Guangsheng Chen, 2019. "Which can better predict the future success of articles? Bibliometric indices or alternative metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1575-1595, June.
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    15. Pei-Shan Chi & Juan Gorraiz & Wolfgang Glänzel, 2019. "Comparing capture, usage and citation indicators: an altmetric analysis of journal papers in chemistry disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1461-1473, September.
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