Evidence map›Paper›PMID 34054160›Full record

ArticleScientometrics2021

Research ethics: a profile of retractions from world class universities.

Caroline Lievore, Priscila Rubbo, Celso Biynkievycz Dos Santos, Claudia Tânia Picinin, Luiz Alberto Pilatti

Abstract read
In one paragraph

Article in Scientometrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Are female scientists underrepresented in self-retractions for honest error?Frontiers in research metrics and analytics · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. 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

5 authors.

Caroline LievoreFederal University of Technology - Paraná (UTFPR), Ponta Grossa, Brazil.ORCID 0000-0003-2448-089X
Priscila RubboFederal University of Technology - Paraná (UTFPR), Ponta Grossa, Brazil.ORCID https://orcid.org/0000-0002-2488-4627
Celso Biynkievycz Dos SantosState University of Ponta Grossa (UEPG), Ponta Grossa, Brazil.ORCID https://orcid.org/0000-0003-2107-8299
Claudia Tânia PicininFederal University of Technology - Paraná (UTFPR), Ponta Grossa, Brazil.ORCID https://orcid.org/0000-0003-4844-3516
Luiz Alberto PilattiFederal University of Technology - Paraná (UTFPR), Ponta Grossa, Brazil.ORCID https://orcid.org/0000-0003-2679-9191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to profile the scientific retractions published in journals indexed in the Web of Science database from 2010 to 2019, from researchers at the top 20 World Class Universities according to the Times Higher Education global ranking of 2020. Descriptive statistics, Pearson's correlation coefficient, and simple linear regression were used to analyze the data. Of the 330 analyzed retractions, Harvard University had the highest number of retractions and the main reason for retraction was data results. We conclude that the universities with a higher ranking tend to have a lower rate of retraction.

Indexed as

RankingResearch Anti-ethicsRetractionWorld Class Universities

Identifiers

PMID34054160
PMCPMC8141102

What OpenQuestion holds

Textmetadata
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.