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Reviewer acknowledgment lists as data: Low-hanging fruit for analysis.

Lance Hannon1

  • 1Department of Sociology and Criminology, Villanova University, Villanova, PA, USA Lance.Hannon@Villanova.edu.

Accountability in Research
|July 26, 2021
PubMed
Summary

Reviewer acknowledgement lists in journals can reveal expertise and stratification within scientific fields. Analyzing these lists offers insights into the sociology of science, even with proprietary data limitations.

Keywords:
Content analysisData managementOpen dataPeer reviewPublicationSocial science research ethics

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Area of Science:

  • Sociology of Science
  • Bibliometrics
  • Peer Review Studies

Background:

  • Journals often publish annual reviewer acknowledgement lists.
  • These lists can serve as a form of expert legitimation in prestigious publications.
  • This practice presents an alternative data source for peer review research, mitigating reliance on proprietary data.

Discussion:

  • Analysis of reviewer acknowledgement lists can address questions of intra- and inter-disciplinary stratification.
  • This method, despite limitations, offers a novel approach to studying scientific communities.
  • Pilot study results from criminology and sociology publications are presented.

Key Insights:

  • Reviewer acknowledgements provide a public dataset for analyzing scientific expertise and influence.
  • Stratification patterns within and between academic disciplines can be identified.
  • The study demonstrates the utility of acknowledgement lists for sociological analysis of science.

Outlook:

  • Further research can expand this methodology to other disciplines.
  • Investigating the long-term impact of reviewer acknowledgements on scientific careers is warranted.
  • This approach can contribute to a more transparent understanding of peer review dynamics.