Cited by 16Academic integrity and plagiarismBenford’s Law and Fraud DetectionResearch, Science, and Academia

Researcher at the center of an epic fraud remains an enigma to those who exposed him

·2021·AAAS Articles DO Group

Integrity signals

Registry

Crossref · 10.1126/science.aav1079

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Cited by

Sorted by citations

Venue
AAAS Articles DO Group
Published
2021-03-28
OpenAlex
W4244183341
Cited by
16
References
0
Citations by year
2025: 2 · 2024: 2 · 2023: 1 · 2022: 4 · 2021: 1 · 2020: 1 · 2019: 5
Type
dataset
Language
en
Open access
closed
Locations
AAAS Articles DO Group (publishedVersion)
Topics
  • Social Sciences › Safety Research › Academic integrity and plagiarism
  • Physical Sciences › Mathematics › Statistics and Probability › Benford’s Law and Fraud Detection
  • Social Sciences › Decision Sciences › Information Systems and Management › Research, Science, and Academia
Keywords
scientific fraud, research misconduct, fraud investigation, researcher profiles

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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