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Evaluating altmetrics

Author

Listed:
  • Pardeep Sud

    () (University of Wolverhampton)

  • Mike Thelwall

    () (University of Wolverhampton)

Abstract

The rise of the social web and its uptake by scholars has led to the creation of altmetrics, which are social web metrics for academic publications. These new metrics can, in theory, be used in an evaluative role, to give early estimates of the impact of publications or to give estimates of non-traditional types of impact. They can also be used as an information seeking aid: to help draw a digital library user’s attention to papers that have attracted social web mentions. If altmetrics are to be trusted then they must be evaluated to see if the claims made about them are reasonable. Drawing upon previous citation analysis debates and web citation analysis research, this article discusses altmetric evaluation strategies, including correlation tests, content analyses, interviews and pragmatic analyses. It recommends that a range of methods are needed for altmetric evaluations, that the methods should focus on identifying the relative strengths of influences on altmetric creation, and that such evaluations should be prioritised in a logical order.

Suggested Citation

  • Pardeep Sud & Mike Thelwall, 2014. "Evaluating altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1131-1143, February.
  • Handle: RePEc:spr:scient:v:98:y:2014:i:2:d:10.1007_s11192-013-1117-2
    DOI: 10.1007/s11192-013-1117-2
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    References listed on IDEAS

    as
    1. Kousha, Kayvan & Thelwall, Mike & Rezaie, Somayeh, 2010. "Using the Web for research evaluation: The Integrated Online Impact indicator," Journal of Informetrics, Elsevier, vol. 4(1), pages 124-135.
    2. Lutz Bornmann & Irina Nast & Hans-Dieter Daniel, 2008. "Do editors and referees look for signs of scientific misconduct when reviewing manuscripts? A quantitative content analysis of studies that examined review criteria and reasons for accepting and rejec," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(3), pages 415-432, December.
    3. Xuemei Li & Mike Thelwall & Dean Giustini, 2012. "Validating online reference managers for scholarly impact measurement," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 461-471, May.
    4. Ehsan Mohammadi & Mike Thelwall, 2013. "Assessing non-standard article impact using F1000 labels," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 383-395, November.
    5. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
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    Keywords

    Altmetrics; Indicators; Webometrics;

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