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Multi-criteria altmetric scores are likely to be redundant with respect to a subset of the underlying information

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  • Sergio Copiello

    (IUAV University of Venice)

Abstract

Alternative metrics are primarily composed of raw data such as the counts of views, downloads, mentions, and so forth. Yet, they also feature several composite indicators that variously combine the above information. Topical examples are the Research Interest score provided by ResearchGate and the Altmetric Attention Score by Altmetric.com. As far as the latter is concerned, it is argued here that, as many weighted sums do, it merely tends to reproduce the information already conveyed by one or a few criteria to which excessive importance is given. In a weighted sum, when a term takes on much more weight than the others, the result tends to become redundant, and the Altmetric Attention Score is no exception. Bottom line: there remains an open question. Provided the alternative metrics point to different—perhaps irreconcilable—aspects of the broad societal impacts of scholarly research, does an additional indicator built on a weighted sum really matter?

Suggested Citation

  • Sergio Copiello, 2020. "Multi-criteria altmetric scores are likely to be redundant with respect to a subset of the underlying information," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 819-824, July.
    • Handle: RePEc:spr:scient:v:124:y:2020:i:1:d:10.1007_s11192-020-03491-9
    DOI: 10.1007/s11192-020-03491-9
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    Cited by:

    1. Ying Guo & Xiantao Xiao, 2022. "Author-level altmetrics for the evaluation of Chinese scholars," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 973-990, February.
    2. Sergio Copiello, 2020. "Other than detecting impact in advance, alternative metrics could act as early warning signs of retractions: tentative findings of a study into the papers retracted by PLoS ONE," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2449-2469, December.
    3. Smolinsky, Lawrence & Klingenberg, Bernhard & Marx, Brian D., 2022. "Interpretation and inference for altmetric indicators arising from sparse data statistics," Journal of Informetrics, Elsevier, vol. 16(1).

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