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Reviewer and editor biases in journal peer review: an investigation of manuscript refereeing at Angewandte Chemie International Edition

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  • Lutz Bornmann
  • Hans-Dieter Daniel

Abstract

This study examined the peer review process at the journal Angewandte Chemie International Edition — the referees' recommendations and the editors' decisions to accept or reject submitted manuscripts for publication — for evidence of potential sources of bias. To analyze referees' recommendations, an ordinal regression model (ORM) with a total of 3,705 reviews by 1,542 referees on 1,744 manuscripts was used. To analyze the editors' decisions, a logistic regression model (LRM) with a total of 1,745 manuscripts was used. In addition to bias variables, an indicator (measured ex-post) for the scientific impact of a manuscript was taken into account. The results of the ORMs show that the number of institutions mentioned in the Acknowledgements of a manuscript, the share of authors having institutional affiliations in Germany, the institutional address of the referee (in Germany or not in Germany), and ‘author suggested a referee for the manuscript’ have statistically significant effects on the referees' recommendations. The LRM shows that the number of institutions that are mentioned in the Acknowledgements and the share of authors having institutional affiliations in Germany are potential sources of bias in the editors' decisions. Copyright , Beech Tree Publishing.

Suggested Citation

  • Lutz Bornmann & Hans-Dieter Daniel, 2009. "Reviewer and editor biases in journal peer review: an investigation of manuscript refereeing at Angewandte Chemie International Edition," Research Evaluation, Oxford University Press, vol. 18(4), pages 262-272, October.
    • Handle: RePEc:oup:rseval:v:18:y:2009:i:4:p:262-272
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    File URL: http://hdl.handle.net/10.3152/095820209X477520
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    Cited by:

    1. Quan-Hoang Vuong & Huyen Thanh T. Nguyen & Thanh-Hang Pham & Manh-Toan Ho & Minh-Hoang Nguyen, 2021. "Assessing the ideological homogeneity in entrepreneurial finance research by highly cited publications," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-11, December.
    2. Zhentao Liang & Jin Mao & Gang Li, 2023. "Bias against scientific novelty: A prepublication perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(1), pages 99-114, January.
    3. Bornmann, Lutz & Tekles, Alexander, 2021. "Convergent validity of several indicators measuring disruptiveness with milestone assignments to physics papers by experts," Journal of Informetrics, Elsevier, vol. 15(3).
    4. Cassidy R. Sugimoto & Blaise Cronin, 2013. "Citation gamesmanship: testing for evidence of ego bias in peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 851-862, June.
    5. Andreas Nishikawa-Pacher & Tamara Heck & Kerstin Schoch, 2023. "Open Editors: A dataset of scholarly journals’ editorial board positions," Research Evaluation, Oxford University Press, vol. 32(2), pages 228-243.
    6. Zhang, Baolong & Wang, Hao & Deng, Sanhong & Su, Xinning, 2020. "Measurement and analysis of Chinese journal discriminative capacity," Journal of Informetrics, Elsevier, vol. 14(1).

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