Attribution of credit in acknowledgements: The case of systematic reviews in medicine

Rossella Salandra, Marisa Miraldo, Paola Criscuolo

Research output: Contribution to journalArticlepeer-review

Abstract

Scientific research increasingly benefits from the work of non-author contributors, who engage in valuable activities but do not meet authorship criteria. The support of these contributors remains invisible unless it is recorded in acknowledgement texts, which has implications for research transparency and fair attribution of credit. While much research has examined authorship, acknowledgements have been largely neglected. We explore whether acknowledgements omit deserving contributors and the heterogeneity of omissions by gender and race. We focus on the medical field, which is often a forerunner in terms of attribution of credit, and consider acknowledgements in Cochrane systematic reviews. These reviews are governed by unique guidance that allows us to determine whether a contributor receives due credit. We find that as many as 40% of the eligible reviews in our sample (those that should have acknowledged prior authors) did not appropriately acknowledge non-author contributors. Non-White contributors were more likely to be missing from the acknowledgements. This disparity cannot be explained by non-White contributors being more likely to perform minor/technical review tasks or being in predominantly White research teams or teams led by White scientists. Instead, the effect is driven by geographical disparities, with non-White contributors being more likely to be deprived of due acknowledgements in reviews from Asia, South America and Africa. Furthermore, in most cases, all contributors were omitted from the acknowledgements, rather than specific contributors being excluded alone. Taken together, we provide novel evidence of some racial disparities in credit attribution in acknowledgements. Reassuringly, these appear to be driven by poor acknowledgement practice and geographical disparities rather than targeted exclusion.
Original languageEnglish
Article numbere0338714
JournalPLoS ONE
Volume21
Issue number1
Early online date6 Jan 2026
DOIs
Publication statusPublished - 6 Jan 2026

Data Availability Statement

The data underlying the results presented in the study are available from the University of Bath Research Data Archive: https://doi.org/10.15125/BATH-01609.

Acknowledgements

We thank Stefano Benigni, Christina Cohrs, Chandresh Gupta, Damiano Morando and Virendra Velagapudi for assistance with data collection and coding. The paper also benefited from feedback from participants at: Workshop on Medical Innovation and Healthcare (WOMI) 2020, University of Bath Centre for Research on Entrepreneurship and Innovation (CREI) Paper Development Workshop series 2022, Bologna Business School PhD Seminar series 2022, Cochrane Colloquium 2023, DRUID 2023, Politecnico di Milano Seminar series 2023 and Rotterdam School of Management Seminar series 2024.

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