RETRACTED PAPERS ORIGINATING FROM PAPER MILLS: A CROSS-SECTIONAL ANALYSIS OF REFERENCES AND CITATIONS.

bibliometric analyses ethics paper mills research integrity retraction scientific misconduct

Journal

Journal of clinical epidemiology
ISSN: 1878-5921
Titre abrégé: J Clin Epidemiol
Pays: United States
ID NLM: 8801383

Informations de publication

Date de publication:
28 May 2024
Historique:
received: 21 12 2023
revised: 03 04 2024
accepted: 21 05 2024
medline: 31 5 2024
pubmed: 31 5 2024
entrez: 30 5 2024
Statut: aheadofprint

Résumé

The aims of this study are: (1) to analyze the references cited by retracted papers originated from paper mills; (2) to analyze the citations received by retracted papers originated from paper mills; and (3) to analyze the potential relationships existing between paper mill papers, their references and their citations. Cross-sectional study. All original papers retracted in 2022 identified as having originated from paper mills and had been published at least 12 months before their retraction (hereinafter "source retracted papers") were included. The Retraction Watch database was used to identify the source retracted papers and Web of Science was used to identify the references contained within them and the citations received by them. We described the characteristics of the papers and journals. Additionally, two networks of source retracted papers mutually interconnected via their citations and references were built: one with only retracted references and retracted citations; and the other with all references and citations (retracted or unretracted). A total of 416 paper mill papers retracted in 2022 (sourced retracted papers) were identified, with a median of 1,247 (IQR, 907.75-1673.5) days between publication and retraction. Of all authors identified, 92.3% were affiliated with Chinese institutions. There were 14,411 references contained in the source retracted papers and 8,479 citations received by them; the median number of references and citations was 35 (29-40) and 16 (9-25), respectively. In total, 473 references and citations had also been retracted for being paper mill papers. Among the 416 sourced retracted papers, 169 (41.9%) and 178 (42.8%) were referenced or were cited by at least one retracted paper, the majority of which also originated from paper mills. The first network analysis, which included source retracted papers along with their retracted references and citations, found three clusters of 53, 48 and 44 retracted papers that were mutually interconnected. The second network analysis, with all references and citations (retracted or unretracted) identified a large cluster of 2,530 interconnected papers. Retracted papers originating from paper mills frequently reference and are cited by papers that are later retracted for having originated from paper mills, displaying interrelationships. Detecting these interrelationships can serve as an indicator for identifying potentially fraudulent publications.

Identifiants

pubmed: 38815634
pii: S0895-4356(24)00152-5
doi: 10.1016/j.jclinepi.2024.111397
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111397

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.

Auteurs

Cristina Candal-Pedreira (C)

Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Galicia, Spain; Health Research Institute of Santiago de Compostela (Instituto de Investigación Sanitaria de Santiago de Compostela-IDIS), Santiago de Compostela, Galicia, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.

Carla Guerra-Tort (C)

Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Galicia, Spain.

Alberto Ruano-Ravina (A)

Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Galicia, Spain; Health Research Institute of Santiago de Compostela (Instituto de Investigación Sanitaria de Santiago de Compostela-IDIS), Santiago de Compostela, Galicia, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain. Electronic address: alberto.ruano@usc.es.

Fabián Freijedo-Farinas (F)

Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Galicia, Spain.

Julia Rey-Brandariz (J)

Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Galicia, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.

Joseph S Ross (JS)

Section of General Internal Medicine and National Clinician Scholars Program, Yale School of Medicine, New Haven, Connecticut, USA; Department of Health Policy and Management, Yale University School of Public Health, New Haven, Connecticut, USA; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, USA.

Mónica Pérez-Ríos (M)

Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Galicia, Spain; Health Research Institute of Santiago de Compostela (Instituto de Investigación Sanitaria de Santiago de Compostela-IDIS), Santiago de Compostela, Galicia, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.

Classifications MeSH