Machine learning based screening of potential paper mill publications in cancer research: methodological and cross sectional study

Paper mills are a large and growing problem in the cancer literature and are not restricted to low impact journals. Collective awareness and action will be crucial to address the problem of paper mill publications.

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Publication Details

Journal
BMJ
Published
2026-01-29
DOI
https://doi.org/10.1136/bmj-2025-087581
Citations
3
Primary Topic
Academic integrity and plagiarism
Type
article
Field-Weighted Citation Impact
76.96
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article

Machine learning based screening of potential paper mill publications in cancer research: methodological and cross sectional study

Adrian Barnett, Jennifer A. Byrne, David Causeur, Baptiste Scancar
3 citations
BMJ
Academic integrity and plagiarism
76.96
article

Machine learning based screening of potential paper mill publications in cancer research: methodological and cross sectional study

Adrian Barnett, Jennifer A. Byrne, David Causeur, Baptiste Scancar
article en
3 citations

Abstract

Paper mills are a large and growing problem in the cancer literature and are not restricted to low impact journals. Collective awareness and action will be crucial to address the problem of paper mill publications.

BMJVol. 392
Centre National de la Recherche Scientifique (FR), The University of Sydney (AU), New South Wales Department of Health (AU), Queensland University of Technology (AU), Institut de recherche mathématique de Rennes (FR)
Quality Education
Openalex Percentile: Top 0%
Academic integrity and plagiarism
76.96
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