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Editorial behaviors in peer review.

Wei Wang1, Xiangjie Kong1, Jun Zhang1

  • 1School of Software, Dalian University of Technology, Dalian, 116621 China.

Springerplus
|July 8, 2016
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Summary

Editorial behaviors significantly impact scientific peer review. Even a small percentage of biased editors can decrease accepted paper quality more than biased reviewers, highlighting the need for fair editorial practices.

Keywords:
Agent-based modelEditorReferee

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Area of Science:

  • Bibliometrics
  • Scientific Publishing
  • Computational Social Science

Background:

  • The peer review process is fundamental to scientific publishing.
  • Current models lack quantitative analysis of editorial behavior's influence.
  • Understanding editorial impacts is crucial for improving peer review performance.

Purpose of the Study:

  • To develop a quantitative model assessing editorial behaviors in peer review.
  • To analyze the effects of specific editorial strategies on peer review outcomes.
  • To provide insights into optimizing the peer review system.

Main Methods:

  • Agent-based modeling simulating authors, editors, and reviewers.
  • Analysis of editorial behaviors including decision strategy, reviewer count, and bias.
  • Simulation-based validation of the proposed peer review model.

Main Results:

  • Peer review outcomes are highly sensitive to various editorial behaviors.
  • 10% of biased editors reduce accepted paper quality by 11%, exceeding biased reviewers' impact (7%).
  • Editorial bias demonstrates a more detrimental effect on scientific quality than reviewer bias.

Conclusions:

  • Editorial behaviors significantly shape the integrity and quality of scientific peer review.
  • The developed agent-based model offers a novel tool for analyzing editorial impacts.
  • Mitigating editorial bias is critical for maintaining the quality of published research.