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Do the best papers have the highest probability of being cited?

Author

Listed:
  • J. A. García

    (Universidad de Granada)

  • Rosa Rodriguez-Sánchez

    (Universidad de Granada)

  • J. Fdez-Valdivia

    (Universidad de Granada)

Abstract

If scholars suffer from imperfect attention, they will not always cite the best paper on a particular topic. The most chosen scholarly works may merely be the most cited ones, not the best articles. Here, a paper is chosen when someone cites it, after paying attention to it. Manuscripts’ authors might affect preferences by using salience to influence what scholars pay attention to. In our work, paying attention to an article is when someone reads it. For instance, authors can submit the research works to top-tier journals in the discipline, and thus enter the salient papers of the readers. However, do such competitive forces tend to correct choice errors caused by reader’s imperfect attention? In this short communication, we study about how the competition between research works for publication may ensure that the best paper is the one having the highest probability to be cited. According to the model, the best papers are the ones published in the journal with the highest citation impact. Therefore, these papers are also the ones that have the highest probability to attract attention and the highest probability of being cited.

Suggested Citation

  • J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2019. "Do the best papers have the highest probability of being cited?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 885-890, March.
    • Handle: RePEc:spr:scient:v:118:y:2019:i:3:d:10.1007_s11192-019-03008-z
    DOI: 10.1007/s11192-019-03008-z
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    References listed on IDEAS

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    1. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2016. "Competition for Attention," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(2), pages 481-513.
    2. Heintzelman Martin & Nocetti Diego, 2009. "Where Should we Submit our Manuscript? An Analysis of Journal Submission Strategies," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(1), pages 1-28, September.
    3. J. A. García & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2018. "Competition between academic journals for scholars’ attention: the ‘Nature effect’ in scholarly communication," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1413-1432, June.
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    Cited by:

    1. Sun, Zhuanlan, 2024. "Textual features of peer review predict top-cited papers: An interpretable machine learning perspective," Journal of Informetrics, Elsevier, vol. 18(2).
    2. Arkady Margolis & Viktoria Ponomareva & Marina Sorokova, 2020. "The Russian Hirsch: Predictors of Citation Usage of Scholarly Works in the RSCI," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 230-255.
    3. Balázs Győrffy & Gyöngyi Csuka & Péter Herman & Ádám Török, 2020. "Is there a golden age in publication activity?—an analysis of age-related scholarly performance across all scientific disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1081-1097, August.
    4. Марголис А. А. & Пономарева В. В. & Сорокова М. Г., 2020. "Особенности "Российского Хирша": Предикторы Цитируемости Научных Статей В Ринц," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 230-255.
    5. Weiss, Matthias & Nair, Lakshmi B. & Hoorani, Bareerah H. & Gibbert, Michael & Hoegl, Martin, 2023. "Transparency of reporting practices in quantitative field studies: The transparency sweet spot for article citations," Journal of Informetrics, Elsevier, vol. 17(2).

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