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Among the chemistry papers retracted in a 2001–2021 study, misconduct was the most common assigned reason: 756 of 1,292 papers, or 58.5%. Errors and concerns not classified as misconduct accounted for 338 papers, or 26%. Those figures describe categorized retractions—not how often misconduct occurs across chemistry research as a whole.

What the chemistry retraction study found

Yulia Sevryugina and Ryan Jimenez analyzed 1,292 chemistry journal articles retracted between 2001 and 2021. Their records came from the Retraction Watch database as available on May 24, 2022. They assigned each paper to a primary reason group for the overall breakdown:

Primary reason group Papers Share of analyzed retractions
Misconduct-related 756 58.5%
Errors and concerns unrelated to misconduct 338 26%
Other or not included in those two groups 198 15.3% (calculated from the study’s total and reported groups)

The first two groups total 1,094 papers, leaving 198 outside them. The study’s overall figures therefore support a limited but clear conclusion: misconduct was the largest assigned reason group in this set of retracted chemistry articles.

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What counted as misconduct—and what counted as error

Misconduct

The study grouped fraud and plagiarism under misconduct. Fraud included falsification or fabrication involving data, images, or results. Plagiarism included copying another author’s work, self-plagiarism, and copyright claims.

Within the 756 papers assigned to the misconduct group, the authors identified 526 plagiarism cases and 272 fraud cases. The plagiarism breakdown included 306 self-plagiarism cases and 210 cases involving plagiarism of others. These underlying reason counts can overlap: the database may record more than one reason for a paper, so the figures should not be added as mutually exclusive categories.

Errors and other concerns

The separate error-and-concern group covered issues such as mistakes in data, analyses, methods, results, text, or images; unreliable or irreproducible data or results; and data that were not provided. The 338 papers in this group show why “retracted” cannot be treated as synonymous with “fraudulent.”

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What the percentages do—and do not—mean

The 58.5% figure is the share of analyzed retracted papers assigned to the misconduct group. It is not the share of all chemistry papers involving misconduct, nor an estimate of misconduct prevalence among chemists. The study examined retraction records, not a random sample of all published chemistry research.

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The authors also report that the retracted records amounted to about 0.06% of chemistry research and review articles published from 2001 through 2021, using a Web of Science publication total as the denominator. That is a comparison of retraction counts with publication counts; it does not measure how often misconduct occurred. Retractions can arise for different reasons, and papers not retracted are outside this particular analysis.

How the finding compares with an earlier analysis

A separate 2019 analysis by François-Xavier Coudert examined 331 retracted papers from 2017–2018 across chemistry, materials science, and related fields. Chemistry World reported that 69% were attributed to plagiarism or data manipulation. Coudert argued that retraction notices should explain their reasons so readers can distinguish honest error from misconduct.

The 69% and 58.5% figures should not be read as a direct change over time. The studies differ in field coverage, years, corpus, and reason classifications; one also combines plagiarism with data manipulation in its reported figure.

How long retractions and peer review took in the study

For the analyzed retracted papers, Sevryugina and Jimenez reported a median of 1.7 years from publication to retraction. They also reported a median peer-review time of 71 days overall and 43 days for fraudulent manuscripts. These are statistics for the study’s retracted-paper sample, not typical timelines for all chemistry publishing.

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Why clear retraction notices matter

A retraction notice is more useful when it states the reason clearly. Readers need to know whether a paper was withdrawn because of an honest error, unreliable evidence, plagiarism, or data fabrication or falsification; those explanations carry different implications. The study’s categories reinforce that distinction, while its overlapping reason records also show why a single label may not capture every concern associated with a paper.

The evidence here ends with papers retracted through 2021, using records available in May 2022. The study, published online on August 21, 2023, does not establish whether the distribution of retraction reasons changed after its data period.

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