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Do individual and institutional predictors of misconduct vary by country? Results of a matched-control analysis of problematic image duplications

Pressures to publish, perverse incentives, financial interest and gender are amongst the most commonly discussed risk factors for scientific misconduct. However, evidence of their association with actual data fabrication and falsification is inconclusive. A recent case-controlled analysis of article...

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Detalles Bibliográficos
Autores principales: Fanelli, Daniele, Schleicher, Matteo, Fang, Ferric C., Casadevall, Arturo, Bik, Elisabeth M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890661/
https://www.ncbi.nlm.nih.gov/pubmed/35235555
http://dx.doi.org/10.1371/journal.pone.0255334