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Breaking down the relationship between disruption scores and citation counts

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  • Mingtang Li
  • Giacomo Livan
  • Simone Righi

Abstract

The emergence of the disruption score provides a new perspective that differs from traditional metrics of citations and novelty in research evaluation. Motivated by current studies on the differences among these metrics, we examine the relationship between disruption scores and citation counts. Intuitively, one would expect disruptive scientific work to be rewarded by high volumes of citations and, symmetrically, impactful work to also be disruptive. A number of recent studies have instead shown that such intuition is often at odds with reality. In this paper, we break down the relationship between impact and disruption with a detailed correlation analysis in two large data sets of publications in Computer Science and Physics. We find that highly disruptive papers tend to receive a higher number of citations than average. Contrastingly, the opposite is not true, as we do not find highly cited papers to be particularly disruptive. Notably, these results qualitatively hold even within individual scientific careers, as we find that—on average—an author’s most disruptive work tends to be well cited, whereas their most cited work does not tend to be disruptive. We discuss the implications of our findings in the context of academic evaluation systems, and show how they can contribute to reconcile seemingly contradictory results in the literature.

Suggested Citation

  • Mingtang Li & Giacomo Livan & Simone Righi, 2024. "Breaking down the relationship between disruption scores and citation counts," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-17, December.
  • Handle: RePEc:plo:pone00:0313268
    DOI: 10.1371/journal.pone.0313268
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    References listed on IDEAS

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    1. S. Redner, 1998. "How popular is your paper? An empirical study of the citation distribution," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 4(2), pages 131-134, July.
    2. Giovanni Abramo & Ciriaco Andrea D’Angelo & Francesco Rosati, 2014. "Career advancement and scientific performance in universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 891-907, February.
    3. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    4. Mattia Cattaneo & Michele Meoli & Andrea Signori, 2016. "Performance-based funding and university research productivity: the moderating effect of university legitimacy," The Journal of Technology Transfer, Springer, vol. 41(1), pages 85-104, February.
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