Cited by 29Academic integrity and plagiarismAcademic Publishing and Open AccessPublishing and Scholarly Communication

Correcting the literature: Improvement trends seen in contents of retraction notices

Open access
Deculllier, Evelyne, Maisonneuve, Hervé·2018·BMC Research Notes

Abstract

OBJECTIVE: To analyse retraction notices from 2016 and compare their quality to the 2008 notices. RESULTS: From 146 retractions retrieved, only 123 were included, of which, a clear reason for retraction was available for 122 (99.2%) and no reason was given for one (0.8%). The main reasons for retraction were mistakes 26.0% (n = 32), fraud 26.0% (n = 32), plagiarism 20.3% (n = 25), and overlap 8.1% (n = 10). In 100 (81.3%) cases, a mention of retraction was available on the original paper, in 15 (12.2%) there was no mention of retraction, and 8 (6.5%) papers were deleted. Compared to the previous cohorts, management of retraction has improved because 99.2% provided a clear reason, and 81.3% of original articles were available with a mention of the retraction.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s13104-018-3576-2

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

  • Often articles are not clearly labelled as retracted: 52/233 (22%) retracted papers in one sample (Decullier, Huot et al., 2013) and 15/123 (12.2%) retracted papers in a second sample (Decullier & Maisonneuve, 2018) were not watermarked or clearly labeled.

    “Often articles are not clearly labelled as retracted: This was the case for two studies of Medline-indexed papers, where 52/233 (22%) retracted papers in one sample (Decullier, Huot et al., 2013) and 15/123 (12.2%) retracted papers in a second sample (this excluded withdrawn articles) (Decullier & Maisonneuve, 2018) were not watermarked or clearly labeled.”

Self-check

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

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

Cites

1 retracted

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Deculllier, E., & Maisonneuve, H.
Venue
BMC Research Notes
Published
2018-07-17
Volume
11
Issue
1
Pages
490-490
ISSN
1756-0500 (ISSN-L)
OpenAlex
W2884188503
Cited by
27
References
6
Citations by year
2026: 1 · 2025: 2 · 2024: 1 · 2023: 5 · 2022: 7 · 2021: 7 · 2019: 4
FWCI
5.46
Type
journal article
Language
en
Open access
Locations
  • BMC Research Notes (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Hospices Civils de Lyon
Topics
  • Social Sciences › Safety Research › Academic integrity and plagiarism
  • Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Publishing and Scholarly Communication
Keywords
retraction reasons, research misconduct, plagiarism, scientific fraud, duplicate publication, scientific publishing quality
MeSH terms
Periodicals as Topic, Publications, Retraction of Publication as Topic, Plagiarism, Biomedical 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 ›

Are you an author, or do you see a problem with this page? Request a review