2018
DOI: 10.1002/1873-3468.13201
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Systematic fabrication of scientific images revealed

Abstract: FEBS Press recently received several manuscripts which appear to contain fabricated images. Although the manuscripts were editorially rejected, they caught our attention as all of the Western blots looked unusually uniform, clean and regular. Careful screening revealed that identical sections of empty background were used as a base for multiple Western blots across 12 unrelated submissions, representing irrelative experiments. The individual bands appear to have been inserted as required, to exhibit the allege… Show more

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Cited by 26 publications
(24 citation statements)
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“…At the time of manuscript submission, journals can screen for the features that we have proposed to be associated with mass‐produced manuscripts (Fig. ).…”
Section: Recognizing and Responding To Manuscripts And Papers That Mamentioning
confidence: 99%
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“…At the time of manuscript submission, journals can screen for the features that we have proposed to be associated with mass‐produced manuscripts (Fig. ).…”
Section: Recognizing and Responding To Manuscripts And Papers That Mamentioning
confidence: 99%
“…Furthermore, just as the miller's men in 'Krabat' could be magically transformed into ravens or other animals [1], paper mills could quickly change their operations in response to improved detection of their products. Nonetheless, based on emerging information, journals can and should take a number of concrete steps to recognize, reject, and deter paper mill submissions [9]. At the time of manuscript submission, journals can screen for the features that we have proposed to be associated with mass-produced manuscripts [8,9] (Fig.…”
Section: Possible Hallmarks Of Mass-produced Manuscripts and Publicatmentioning
confidence: 99%
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“…Nonetheless, part of the literature is plagued with various errors and questionable statements, as detected by factchecking endeavours and error sleuths (Ledford et al 2017, p. 321). Although individuals manage to visually screen biomedical images from thousands of papers (Baker 2016;Christopher 2018;Van Noorden 2015), the enormous worldwide scientific production calls for automated approaches relying on machine learning, as described by Acuna et al (2018), for instance. These automated approaches include the detection of plagiarism (Citron and Ginsparg 2015), p-value hacking (Nuijten et al 2016), and discrepancies between the claims presented and current knowledge on the topic (Labbé et al 2019).…”
Section: Introductionmentioning
confidence: 99%