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The validity of staff editors’ initial evaluations of manuscripts: a case study of Angewandte Chemie International Edition

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Listed:
  • Lutz Bornmann

    (ETH Zurich)

  • Hans-Dieter Daniel

    (ETH Zurich
    University of Zurich, Evaluation Office)

Abstract

This paper investigates the extent to which staff editors’ evaluations of submitted manuscripts—that is, internal evaluations carried out before external peer reviewing—are valid. To answer this question we utilized data on the manuscript reviewing process at the journal Angewandte Chemie International Edition. The results of this study indicate that the initial internal evaluations are valid. Further, it appears that external review is indispensable for the decision on the publication worthiness of manuscripts: (1) For the majority of submitted manuscripts, staff editors are uncertain about publication worthiness; (2) there is a statistically significant proportional difference in “Rejection” between the editors' initial evaluation and the final editorial decision (after peer review); (3) three-quarters of the manuscripts that were rated negatively at the initial internal evaluation but accepted for publication after the peer review had far above-average citation counts.

Suggested Citation

  • Lutz Bornmann & Hans-Dieter Daniel, 2010. "The validity of staff editors’ initial evaluations of manuscripts: a case study of Angewandte Chemie International Edition," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 681-687, December.
    • Handle: RePEc:spr:scient:v:85:y:2010:i:3:d:10.1007_s11192-010-0215-7
    DOI: 10.1007/s11192-010-0215-7
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    References listed on IDEAS

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    1. Quinn McNemar, 1947. "Note on the sampling error of the difference between correlated proportions or percentages," Psychometrika, Springer;The Psychometric Society, vol. 12(2), pages 153-157, June.
    2. Craig, Iain D. & Plume, Andrew M. & McVeigh, Marie E. & Pringle, James & Amin, Mayur, 2007. "Do open access articles have greater citation impact?," Journal of Informetrics, Elsevier, vol. 1(3), pages 239-248.
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    Cited by:

    1. Azzurra Ragone & Katsiaryna Mirylenka & Fabio Casati & Maurizio Marchese, 2013. "On peer review in computer science: analysis of its effectiveness and suggestions for improvement," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 317-356, November.

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