The prevalence of inappropriate image duplication in biomedical research publications

EM Bik, A Casadevall, FC Fang - MBio, 2016 - Am Soc Microbiol
MBio, 2016Am Soc Microbiol
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 …
Abstract
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.
American Society for Microbiology