Evidence map›Paper›PMID 40768479›Full record

ArticlePloS one2025

Features and signals in precocious citation impact: A meta-research study.

John P A Ioannidis

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

John P A IoannidisDepartments of Medicine and of Epidemiology and Population Health, Stanford University School of Medicine; and Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, United States of America.ORCID https://orcid.org/0000-0003-3118-6859

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current analysis aimed to evaluate the profiles of scientists who reach top citation impact in a very short time once they start publishing. Precocious citation impact was defined as rising to become a top-cited scientist within t ≤ 8 years after the first publication year. Ultra-precocious citation impact was defined similarly for t ≤ 5 years. Top-cited authors included those in the top-2% of a previously validated composite citation indicator across 174 subfields of science or in the top-100,000 authors of that composite citation indicator across all science based on Scopus. Annual data between 2017 and 2023 show a strong increase over time, with 469 precocious and 66 ultra-precocious citation impact author profiles in 2023. In-depth assessment of validated ultra-precocious scientists in 2023, showed significantly higher frequency of less developed country affiliation; clustering in 4 high-risk subfields; high self-citations for their field; being top-cited only when self-citations were included; high citations to citing papers ratio for their field; extreme publishing behavior; extreme citation orchestration metric c/h2; and high percentage of citations given to first-authored papers compared with all top-cited authors (p < 0.005 for all signals). The 17 ultra-precocious citation impact authors in the 2017-2020 top-cited lists who had retractions showed on average 4.1 of these 8 signal indicators at the time they entered the top-cited list. In conclusion, while some authors with precocious citation impact may be stellar scientists, others probably herald massive manipulative or fraudulent behaviors infiltrating the scientific literature.

Indexed as

BibliometricsJournal Impact FactorPublishingHumans

Identifiers

PMID40768479
PMCPMC12327621

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.