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Bias in peer review

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Listed:
  • Carole J. Lee
  • Cassidy R. Sugimoto
  • Guo Zhang
  • Blaise Cronin

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Suggested Citation

  • 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.
  • Handle: RePEc:bla:jinfst:v:64:y:2013:i:1:p:2-17
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    References listed on IDEAS

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    1. Lutz Bornmann & Rüdiger Mutz & Hans-Dieter Daniel, 2009. "The influence of the applicants’ gender on the modeling of a peer review process by using latent Markov models," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 407-411, November.
    2. Terttu Luukkonen, 2012. "Conservatism and risk-taking in peer review: Emerging ERC practices," Research Evaluation, Oxford University Press, vol. 21(1), pages 48-60, February.
    3. John P A Ioannidis, 2005. "Why Most Published Research Findings Are False," PLOS Medicine, Public Library of Science, vol. 2(8), pages 1-1, August.
    4. J Britt Holbrook & Robert Frodeman, 2011. "Peer review and the ex ante assessment of societal impacts," Research Evaluation, Oxford University Press, vol. 20(3), pages 239-246, September.
    5. Ulf Sandström & Martin Hällsten, 2008. "Persistent nepotism in peer-review," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 175-189, February.
    6. Bornmann, Lutz & Daniel, Hans-Dieter, 2009. "Extent of type I and type II errors in editorial decisions: A case study on Angewandte Chemie International Edition," Journal of Informetrics, Elsevier, vol. 3(4), pages 348-352.
    7. Christine Wennerås & Agnes Wold, 1997. "Nepotism and sexism in peer-review," Nature, Nature, vol. 387(6631), pages 341-343, May.
    8. Upali W. Jayasinghe & Herbert W. Marsh & Nigel Bond, 2003. "A multilevel cross‐classified modelling approach to peer review of grant proposals: the effects of assessor and researcher attributes on assessor ratings," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 166(3), pages 279-300, October.
    9. David Lane, 2008. "Double-blind review: easy to guess in specialist fields," Nature, Nature, vol. 452(7183), pages 28-28, March.
    10. Bornmann, Lutz & Mutz, Rüdiger & Daniel, Hans-Dieter, 2007. "Gender differences in grant peer review: A meta-analysis," Journal of Informetrics, Elsevier, vol. 1(3), pages 226-238.
    11. Lutz Bornmann & Rüdiger Mutz & Hans-Dieter Daniel, 2010. "A Reliability-Generalization Study of Journal Peer Reviews: A Multilevel Meta-Analysis of Inter-Rater Reliability and Its Determinants," PLOS ONE, Public Library of Science, vol. 5(12), pages 1-10, December.
    12. Bornmann, Lutz & Daniel, Hans-Dieter, 2007. "Gatekeepers of science—Effects of external reviewers’ attributes on the assessments of fellowship applications," Journal of Informetrics, Elsevier, vol. 1(1), pages 83-91.
    13. Daniel S. Hamermesh, 1994. "Facts and Myths about Refereeing," Journal of Economic Perspectives, American Economic Association, vol. 8(1), pages 153-163, Winter.
    14. Jonathan Grant & Simon Burden & Gillian Breen, 1997. "No evidence of sexism in peer review," Nature, Nature, vol. 390(6659), pages 438-438, December.
    15. Oswald, Andrew J., 2008. "Can We Test for Bias in Scientific Peer-Review?," IZA Discussion Papers 3665, Institute of Labor Economics (IZA).
    16. 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.
    17. Lutz Bornmann & Christophe Weymuth & Hans-Dieter Daniel, 2010. "A content analysis of referees’ comments: how do comments on manuscripts rejected by a high-impact journal and later published in either a low- or high-impact journal differ?," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 493-506, May.
    18. Yankauer, A., 1991. "How blind is blind review?," American Journal of Public Health, American Public Health Association, vol. 81(7), pages 843-845.
    19. Daniele Fanelli, 2010. "Do Pressures to Publish Increase Scientists' Bias? An Empirical Support from US States Data," PLOS ONE, Public Library of Science, vol. 5(4), pages 1-7, April.
    20. Engers, Maxim & Gans, Joshua S, 1998. "Why Referees Are Not Paid (Enough)," American Economic Review, American Economic Association, vol. 88(5), pages 1341-1349, December.
    21. Rinia, E. J. & van Leeuwen, Th. N. & van Vuren, H. G. & van Raan, A. F. J., 2001. "Influence of interdisciplinarity on peer-review and bibliometric evaluations in physics research," Research Policy, Elsevier, vol. 30(3), pages 357-361, March.
    22. Laband, David N & Piette, Michael J, 1994. "Favoritism versus Search for Good Papers: Empirical Evidence Regarding the Behavior of Journal Editors," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 194-203, February.
    23. Henry G. Friesen, 1998. "Equal opportunities in Canada," Nature, Nature, vol. 391(6665), pages 326-326, January.
    24. Marsh, Herbert W. & Jayasinghe, Upali W. & Bond, Nigel W., 2011. "Gender differences in peer reviews of grant applications: A substantive-methodological synergy in support of the null hypothesis model," Journal of Informetrics, Elsevier, vol. 5(1), pages 167-180.
    25. Lutz Bornmann & Rüdiger Mutz & Werner Marx & Hermann Schier & Hans‐Dieter Daniel, 2011. "A multilevel modelling approach to investigating the predictive validity of editorial decisions: do the editors of a high profile journal select manuscripts that are highly cited after publication?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(4), pages 857-879, October.
    26. Antonio J. Herrera, 1999. "Language bias discredits the peer-review system," Nature, Nature, vol. 397(6719), pages 467-467, February.
    27. Tim Vines & Loren Rieseberg & Harry Smith, 2010. "No crisis in supply of peer reviewers," Nature, Nature, vol. 468(7327), pages 1041-1041, December.
    28. Lutz Bornmann & Hans-Dieter Daniel, 2006. "Potential sources of bias in research fellowship assessments: effects of university prestige and field of study," Research Evaluation, Oxford University Press, vol. 15(3), pages 209-219, December.
    29. Blank, Rebecca M, 1991. "The Effects of Double-Blind versus Single-Blind Reviewing: Experimental Evidence from The American Economic Review," American Economic Review, American Economic Association, vol. 81(5), pages 1041-1067, December.
    30. Blaise Cronin, 2009. "Vernacular and vehicular language," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(3), pages 433-433, March.
    31. Bornmann, Lutz & Mutz, Rüdiger & Daniel, Hans-Dieter, 2008. "How to detect indications of potential sources of bias in peer review: A generalized latent variable modeling approach exemplified by a gender study," Journal of Informetrics, Elsevier, vol. 2(4), pages 280-287.
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