The Prevalence of Inappropriate Image Duplication in Biomedical Research Publications

Inaccurate data in scientific papers can result from honest error or intentional falsification. This study attempted to determine the percentage of published papers that contain inappropriate image duplication, a specific type of inaccurate data. The images from a total of 20,621 papers published in...

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Main Authors: Elisabeth M. Bik, Arturo Casadevall, Ferric C. Fang
Format: Article
Language:English
Published: American Society for Microbiology 2016-06-01
Series:mBio
Online Access:http://mbio.asm.org/cgi/content/full/7/3/e00809-16
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spelling doaj-d7e7a65d5fc545d8bf086936b02e22292021-07-02T06:14:46ZengAmerican Society for MicrobiologymBio2150-75112016-06-0173e00809-1610.1128/mBio.00809-16The Prevalence of Inappropriate Image Duplication in Biomedical Research PublicationsElisabeth M. BikArturo CasadevallFerric C. FangInaccurate data in scientific papers can result from honest error or intentional falsification. This study attempted to determine the percentage of published papers that contain inappropriate image duplication, a specific type of inaccurate data. The images from a total of 20,621 papers published in 40 scientific journals from 1995 to 2014 were visually screened. Overall, 3.8% of published papers contained problematic figures, with at least half exhibiting features suggestive of deliberate manipulation. The prevalence of papers with problematic images has risen markedly during the past decade. Additional papers written by authors of papers with problematic images had an increased likelihood of containing problematic images as well. As this analysis focused only on one type of data, it is likely that the actual prevalence of inaccurate data in the published literature is higher. The marked variation in the frequency of problematic images among journals suggests that journal practices, such as prepublication image screening, influence the quality of the scientific literature.http://mbio.asm.org/cgi/content/full/7/3/e00809-16
collection DOAJ
language English
format Article
sources DOAJ
author Elisabeth M. Bik
Arturo Casadevall
Ferric C. Fang
spellingShingle Elisabeth M. Bik
Arturo Casadevall
Ferric C. Fang
The Prevalence of Inappropriate Image Duplication in Biomedical Research Publications
mBio
author_facet Elisabeth M. Bik
Arturo Casadevall
Ferric C. Fang
author_sort Elisabeth M. Bik
title The Prevalence of Inappropriate Image Duplication in Biomedical Research Publications
title_short The Prevalence of Inappropriate Image Duplication in Biomedical Research Publications
title_full The Prevalence of Inappropriate Image Duplication in Biomedical Research Publications
title_fullStr The Prevalence of Inappropriate Image Duplication in Biomedical Research Publications
title_full_unstemmed The Prevalence of Inappropriate Image Duplication in Biomedical Research Publications
title_sort prevalence of inappropriate image duplication in biomedical research publications
publisher American Society for Microbiology
series mBio
issn 2150-7511
publishDate 2016-06-01
description Inaccurate data in scientific papers can result from honest error or intentional falsification. This study attempted to determine the percentage of published papers that contain inappropriate image duplication, a specific type of inaccurate data. The images from a total of 20,621 papers published in 40 scientific journals from 1995 to 2014 were visually screened. Overall, 3.8% of published papers contained problematic figures, with at least half exhibiting features suggestive of deliberate manipulation. The prevalence of papers with problematic images has risen markedly during the past decade. Additional papers written by authors of papers with problematic images had an increased likelihood of containing problematic images as well. As this analysis focused only on one type of data, it is likely that the actual prevalence of inaccurate data in the published literature is higher. The marked variation in the frequency of problematic images among journals suggests that journal practices, such as prepublication image screening, influence the quality of the scientific literature.
url http://mbio.asm.org/cgi/content/full/7/3/e00809-16
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