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Journal peer review in context: A qualitative study of the social and subjective dimensions of manuscript review in biomedical publishing

Author

Listed:
  • Lipworth, Wendy L.
  • Kerridge, Ian H.
  • Carter, Stacy M.
  • Little, Miles

Abstract

Peer- and editorial review of research submitted to biomedical journals ('manuscript review') is frequently argued to be essential for ensuring scientific quality and the dissemination of important ideas, but there is also broad agreement that manuscript review is often unsuccessful in achieving its goals. Problems with manuscript review are frequently attributed to the social and subjective dimensions of the process (e.g. bias and conflict of interest). While there have been numerous efforts to improve the process, these have had limited success. This may be because these efforts do not account sufficiently for all of the social and subjective dimensions of the process. We set out, therefore, to characterise the most salient social and subjective dimensions of the manuscript review process, from the perspective of practising reviewers and editors. Open-ended interviews were carried out with 35 journal editors, and peer reviewers in the UK, USA and Australia. It emerged from these interviews that reviewers and editors were conscious of a number of social and subjective influences on the review process including: a wide variety of motivations for participation, complex relations of power, epistemic authority and moral responsibility, and unavoidable prejudice and intuition. Importantly, these social and subjective influences were often viewed positively and were seen as expressions of, rather than threats to, editors' and reviewers' epistemic authority and expertise. From this we conclude that the social and subjective dimensions of biomedical manuscript review should be made more explicit, accommodated and even encouraged, not only because these dimensions of human relationships and judgements are unavoidable, but because their explicit presence is likely to enrich, rather than threaten the manuscript review process. We suggest a 'dialectical' model which can simultaneously accommodate, and embrace, all dimensions of the manuscript review process.

Suggested Citation

  • Lipworth, Wendy L. & Kerridge, Ian H. & Carter, Stacy M. & Little, Miles, 2011. "Journal peer review in context: A qualitative study of the social and subjective dimensions of manuscript review in biomedical publishing," Social Science & Medicine, Elsevier, vol. 72(7), pages 1056-1063, April.
  • Handle: RePEc:eee:socmed:v:72:y:2011:i:7:p:1056-1063
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    Citations

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    Cited by:

    1. Ricardo Ocaña-Riola, 2016. "The Use of Statistics in Health Sciences: Situation Analysis and Perspective," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 8(2), pages 204-219, October.
    2. Zaharie, Monica Aniela & Osoian, Codruţa Luminiţa, 2016. "Peer review motivation frames: A qualitative approach," European Management Journal, Elsevier, vol. 34(1), pages 69-79.
    3. 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.
    4. Richard R Snell, 2015. "Menage a Quoi? Optimal Number of Peer Reviewers," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-14, April.
    5. Lutz Bornmann, 2012. "The Hawthorne effect in journal peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 857-862, June.
    6. Stein J Janssen & Annelien L Bredenoord & Wouter Dhert & Marinus de Kleuver & F Cumhur Oner & Jorrit-Jan Verlaan, 2015. "Potential Conflicts of Interest of Editorial Board Members from Five Leading Spine Journals," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-11, June.
    7. Sven E. Hug & Mirjam Aeschbach, 2020. "Criteria for assessing grant applications: a systematic review," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-15, December.
    8. Mingliang Yue & Hongbo Tang & Fan Liu & Tingcan Ma, 2021. "Consistency index: measuring the performances of scholar journal reviewers," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7183-7195, August.

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