Evidence map›Paper›PMID 24577829›Full record

ArticleCroatian medical journal2014

Self-correction in biomedical publications and the scientific impact.

Armen Yuri Gasparyan, Lilit Ayvazyan, Nurbek A Akazhanov, George D Kitas

Abstract read
In one paragraph

Article in Croatian medical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Analysis of Retracted Publications on Methotrexate.Journal of Korean medical science · 2025
    Article
  7. Article
  8. Article
  9. Are female scientists underrepresented in self-retractions for honest error?Frontiers in research metrics and analytics · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Retractions, Fake Peer Reviews, and Paper Mills.Journal of Korean medical science · 2021
    Article
  14. Article
  15. Error publication (published erratum) in neurosurgical journals worldwide using PubMed during the last 30 years.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2021
    Article
  16. Article
  17. Article
  18. Reporting Survey Based Studies - a Primer for Authors.Journal of Korean medical science · 2020
    Review
  19. Article
  20. Retraction: The "Other Face" of Research Collaboration?Science and engineering ethics · 2020
    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

4 authors.

Armen Yuri GasparyanArmen Yuri Gasparyan, Departments of Rheumatology and Research and Development, Dudley Group NHS Foundation Trust, Russells Hall Hospital, North Block, Clinical Research Unit, Dudley, West Midlands, DY1 2HQ, United Kingdom, a.gasparyan@gmail.com.
Lilit Ayvazyan
Nurbek A Akazhanov
George D Kitas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo analyze mistakes and misconduct in multidisciplinary and specialized biomedical journals.

methodsWe conducted searches through PubMed to retrieve errata, duplicate, and retracted publications (as of January 30, 2014). To analyze publication activity and citation profiles of countries, multidisciplinary, and specialized biomedical journals, we referred to the latest data from the SCImago Journal and Country Rank database. Total number of indexed articles and values of the h-index of the fifty most productive countries and multidisciplinary journals were recorded and linked to the number of duplicate and retracted publications in PubMed.

resultsOur analysis found 2597 correction items. A striking increase in the number of corrections appeared in 2013, which is mainly due to 871 (85.3%) corrections from PLOS One. The number of duplicate publications was 1086. Articles frequently published in duplicate were reviews (15.6%), original studies (12.6%), and case reports (7.6%), whereas top three retracted articles were original studies (10.1%), randomized trials (8.8%), and reviews (7%). A strong association existed between the total number of publications across countries and duplicate (rs=0.86, P<0.0001) and retracted items (rs=0.812, P<0.0001). A similar trend was found between country-based h-index values and duplicate and retracted publications.

conclusionThe study suggests that the intensified self-correction in biomedicine is due to the attention of readers and authors, who spot errors in their hub of evidence-based information. Digitization and open access confound the staggering increase in correction notices and retractions.

Indexed as

Duplicate Publications as TopicRetraction of Publication as TopicAuthorshipBibliometricsBiomedical ResearchHumansJournal Impact FactorPeriodicals as TopicPubMedScientific Misconduct

Identifiers

PMID24577829
PMCPMC3944419

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.