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Peer review in a changing world: An international study measuring the attitudes of researchers

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  • Adrian Mulligan
  • Louise Hall
  • Ellen Raphael

Abstract

This large‐scale international study measures the attitudes of more than 4,000 researchers toward peer review. In 2009, 40,000 authors of research papers from across the globe were invited to complete an online survey. Researchers were asked to rate a number of general statements about peer review, and then a subset of respondents, who had themselves peer reviewed, rated a series of statements concerning their experience of peer review. The study found that the peer review process is highly regarded by the vast majority of researchers and considered by most to be essential to the communication of scholarly research. Nine out of 10 authors believe that peer review improved the last paper they published. Double‐blind peer review is considered the most effective form of peer review. Nearly three quarters of researchers think that technological advances are making peer review more effective. Most researchers believe that although peer review should identify fraud, it is very difficult for it to do so. Reviewers are committed to conducting peer review in the future and believe that simple practical steps, such as training new reviewers would further improve peer review.

Suggested Citation

  • Adrian Mulligan & Louise Hall & Ellen Raphael, 2013. "Peer review in a changing world: An international study measuring the attitudes of researchers," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 132-161, January.
  • Handle: RePEc:bla:jamist:v:64:y:2013:i:1:p:132-161
    DOI: 10.1002/asi.22798
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    1. Yuetong Chen & Hao Wang & Baolong Zhang & Wei Zhang, 2022. "A method of measuring the article discriminative capacity and its distribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3317-3341, June.
    2. Paul Sebo & Jean Pascal Fournier & Claire Ragot & Pierre-Henri Gorioux & François R. Herrmann & Hubert Maisonneuve, 2019. "Factors associated with publication speed in general medical journals: a retrospective study of bibliometric data," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1037-1058, May.
    3. Michail Kovanis & Ludovic Trinquart & Philippe Ravaud & Raphaël Porcher, 2017. "Evaluating alternative systems of peer review: a large-scale agent-based modelling approach to scientific publication," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 651-671, October.
    4. Qianjin Zong & Yafen Xie & Jiechun Liang, 2020. "Does open peer review improve citation count? Evidence from a propensity score matching analysis of PeerJ," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 607-623, October.
    5. Zhang, Guangyao & Xu, Shenmeng & Sun, Yao & Jiang, Chunlin & Wang, Xianwen, 2022. "Understanding the peer review endeavor in scientific publishing," Journal of Informetrics, Elsevier, vol. 16(2).
    6. J. A. Garcia & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2021. "The interplay between the reviewer’s incentives and the journal’s quality standard," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3041-3061, April.
    7. J. Israel Martínez-López & Samantha Barrón-González & Alejandro Martínez López, 2019. "Which Are the Tools Available for Scholars? A Review of Assisting Software for Authors during Peer Reviewing Process," Publications, MDPI, vol. 7(3), pages 1-28, September.
    8. Eirini Delikoura & Dimitrios Kouis, 2021. "Open Research Data and Open Peer Review: Perceptions of a Medical and Health Sciences Community in Greece," Publications, MDPI, vol. 9(2), pages 1-19, March.
    9. Narjes Vara & Mahdieh Mirzabeigi & Hajar Sotudeh & Seyed Mostafa Fakhrahmad, 2022. "Application of k-means clustering algorithm to improve effectiveness of the results recommended by journal recommender system," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3237-3252, June.
    10. Pengfei Jia & Weixi Xie & Guangyao Zhang & Xianwen Wang, 2023. "Do reviewers get their deserved acknowledgments from the authors of manuscripts?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5687-5703, October.
    11. Maciej J Mrowinski & Piotr Fronczak & Agata Fronczak & Marcel Ausloos & Olgica Nedic, 2017. "Artificial intelligence in peer review: How can evolutionary computation support journal editors?," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-11, September.
    12. Michail Kovanis & Raphaël Porcher & Philippe Ravaud & Ludovic Trinquart, 2016. "Complex systems approach to scientific publication and peer-review system: development of an agent-based model calibrated with empirical journal data," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 695-715, February.
    13. Vivian M Nguyen & Neal R Haddaway & Lee F G Gutowsky & Alexander D M Wilson & Austin J Gallagher & Michael R Donaldson & Neil Hammerschlag & Steven J Cooke, 2015. "How Long Is Too Long in Contemporary Peer Review? Perspectives from Authors Publishing in Conservation Biology Journals," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-20, August.
    14. Mohan, Vijay, 2019. "On the use of blockchain-based mechanisms to tackle academic misconduct," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    15. Dietmar Wolfram & Peiling Wang & Adam Hembree & Hyoungjoo Park, 2020. "Open peer review: promoting transparency in open science," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1033-1051, November.
    16. Bianchi, Federico & Grimaldo, Francisco & Squazzoni, Flaminio, 2019. "The F3-index. Valuing reviewers for scholarly journals," Journal of Informetrics, Elsevier, vol. 13(1), pages 78-86.
    17. Alessandro Checco & Lorenzo Bracciale & Pierpaolo Loreti & Stephen Pinfield & Giuseppe Bianchi, 2021. "AI-assisted peer review," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-11, December.
    18. Michail Kovanis & Raphaël Porcher & Philippe Ravaud & Ludovic Trinquart, 2016. "The Global Burden of Journal Peer Review in the Biomedical Literature: Strong Imbalance in the Collective Enterprise," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-14, November.
    19. Kuklin, Alexander A. (Куклин, Александр) & Balyakina, Evgeniya A. (Балякина, Евгения), 2017. "Active policy as a key to success for an International Economic Periodical [Активная Политика — Залог Успеха Международного Экономического Журнала]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 6, pages 160-177, December.
    20. Maciej J. Mrowinski & Agata Fronczak & Piotr Fronczak & Olgica Nedic & Marcel Ausloos, 2016. "Review time in peer review: quantitative analysis and modelling of editorial workflows," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 271-286, April.
    21. Abbie Griffin & Gloria Barczak, 2020. "Effective reviewing for conceptual journal submissions," AMS Review, Springer;Academy of Marketing Science, vol. 10(1), pages 36-48, June.
    22. Katarina Krapež, 2022. "Advancing Self-Evaluative and Self-Regulatory Mechanisms of Scholarly Journals: Editors’ Perspectives on What Needs to Be Improved in the Editorial Process," Publications, MDPI, vol. 10(1), pages 1-18, March.
    23. Rodríguez Sánchez, Isabel & Makkonen, Teemu & Williams, Allan M., 2019. "Peer review assessment of originality in tourism journals: critical perspective of key gatekeepers," Annals of Tourism Research, Elsevier, vol. 77(C), pages 1-11.

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