Cited by 137Academic integrity and plagiarismPublishing and Scholarly CommunicationAcademic Publishing and Open Access

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Digital magic, or the dark arts of the 21 st century—how can journals and peer reviewers detect manuscripts and publications from paper mills?

Open access

Abstract

In recent years, it has been proposed that unrealistic requirements for academics and medical doctors to publish in scientific journals, combined with monetary publication rewards, have led to forms of contract cheating offered by organizations known as paper mills. Paper mills are alleged to offer products ranging from research data through to ghostwritten fraudulent or fabricated manuscripts and submission services. While paper mill operations remain poorly understood, it seems likely that paper mills need to balance product quantity and quality, such that they produce or contribute to large numbers of manuscripts that will be accepted for publication. Producing manuscripts at scale may be facilitated by the use of manuscript templates, which could give rise to shared features such as textual and organizational similarities, the description of highly generic study hypotheses and experimental approaches, digital images that show evidence of manipulation and/or reuse, and/or errors affecting verifiable experimental reagents. Based on these features, we propose practical steps that editors, journal staff, and peer reviewers can take to recognize and respond to research manuscripts and publications that may have been produced with undeclared assistance from paper mills.

Overview

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Integrity signals

Registry

Crossref · 10.1002/1873-3468.13747

Cites

22 of 22 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 4

  1. Preussler O, 1971, Krabat
  2. Hu Z, 2013, An empirical analysis on number and monetary value of ghostwritten papers in China, Curr Sci, 105, 1230
  3. Retraction of: tumor protein D52‐Like 2 accelerates gastric cancer cell proliferation, Cancer Biother Radiopharm, 32, 388
  4. 10.1016/S0022-2836(05)80360-2 · DOI · Paper page

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Metadata

Authors
Byrne, J. A., & Christopher, J.
Affiliations
  • The University of Sydney (AU)
  • Heidelberg University (DE)
Corresponding author
  • Byrne, Jennifer A.
  • Christopher, Jana
Venue
FEBS Letters
Publisher
Wiley
Published
2020-02
Volume
594
Issue
4
Pages
583-589
ISSN
  • 0014-5793 (ISSN-L)
  • 1873-3468
OpenAlex
W3008906624
Cited by
133
References
22
Citations by year
2026: 13 · 2025: 22 · 2024: 29 · 2023: 11 · 2022: 24 · 2021: 23 · 2020: 11
FWCI
23.48
Type
journal article
Language
en
Open access
Locations
  • FEBS Letters (publishedVersion, public-domain)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Education › Academic integrity and plagiarism
  • Social Sciences › Library and Information Sciences › Publishing and Scholarly Communication
  • Social Sciences › Library and Information Sciences › Academic Publishing and Open Access
Keywords
paper mills, contract cheating, research misconduct, peer review, publication ethics, ghostwriting, data fabrication, image editing, research integrity, journal editors
MeSH terms
Paper, Periodicals as Topic, Publishing, Peer Review, Research

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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