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Cite unseen: Theory and evidence on the effect of open access on cites to academic articles across the quality spectrum

Author

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  • Mark Mccabe

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur)

  • Christopher Snyder

Abstract

Our previous paper (McCabe and Snyder 2014) contained the provocative result that, despite a positive average effect, open access reduces cites to some articles, in particular those published in lower-tier journals. We propose a model in which open access leads more readers to acquire the full text, yielding more cites from some, but fewer cites from those who would have cited the article based on superficial knowledge but who refrain once they learn that the article is a bad match. We test the theory with data for over 200,000 science articles binned by cites received during a pre-study period. Consistent with the theory, the marginal effect of open access is negative for the least-cited articles, positive for the most cited, and generally monotonic for quality levels in between. Also consistent with the theory is a magnification of these effects for articles placed on PubMed Central, one of the broadest open-access platforms, and the differential pattern of results for cites from insiders versus outsiders to the article’s field.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Mark Mccabe & Christopher Snyder, 2021. "Cite unseen: Theory and evidence on the effect of open access on cites to academic articles across the quality spectrum," Post-Print hal-03561765, HAL.
    • Handle: RePEc:hal:journl:hal-03561765
    DOI: 10.1002/mde.3353
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    Cited by:

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    2. Alexander Cuntz & Frank Mueller-Langer & Alessio Muscarnera & Prince C. Oguguo & Marc Scheufen, 2024. "Access to science and innovation in the developing world," WIPO Economic Research Working Papers 78, World Intellectual Property Organization - Economics and Statistics Division.
    3. Qianjin Zong & Zhihong Huang & Jiaru Huang, 2023. "Can open access increase LIS research’s policy impact? Using regression analysis and causal inference," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4825-4854, August.
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    More about this item

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L17 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Open Source Products and Markets
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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