Evidence map›Paper›PMID 37287880›Full record

ArticleScientometrics2023

Cross-cultural differences in retracted publications of male and female from a global perspective.

Shenghui Li, Wenyan Xu, Jingqi Yin

Open access · hybridAbstract read
In one paragraph

Article in Scientometrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.0field-weighted citation impact, top 20% of its field
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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 1 country.

Shenghui LiSchool of Public Administration, South China University of Technology, Guangzhou, 510640 China.
Wenyan XuSchool of Public Administration, South China University of Technology, Guangzhou, 510640 China.ORCID 0000-0002-3572-3757
Jingqi YinSchool of Sociology, Shanghai Normal University, Shanghai, 200233 China.
South China University of Technology · CNShanghai Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this paper is threefold: (i) to identify the combinations of national culture dimensions that lead to high (or low) male or female retracted publications, (ii) to understand the role of personal trust as a relevant condition that combines with national culture dimensions to cause high (or low) male or female retraction, and (iii) to identify the differences in the configurations that lead to those outcomes. Based on framework of Hofstede's cross-cultural analysis and data from Hofstede Center, World Value, and Web of Science, this essay analyzes cultural complex causal relations between national culture and trust dimensions (conditions), and male and female retracted publications (outcomes) in 30 countries nationally and globally by fuzzy-set qualitative comparative analysis. This research provides three major insights: (i) Cultural dimensions (power distance, individualism, masculinity, uncertainty avoidance, long-term orientation) and trust are not necessary conditions for both male and female to cause retractions, (ii) different levels of personal trust (high/low) combine with national cultural dimensions in order to produce different configurations that can lead to high or low retractions, and (iii) Each gender causes retractions in a similar or identical way, but each also owns its unique way. Finally, we provide effective policy recommendations to specific countries based on our critical conclusions and discussions.

Indexed as

Cross-cultural analysisGender differencePublication integrityQualitative comparative analysisRetracted publication

Identifiers

PMID37287880
PMCPMC10183084
OpenAlexW4376612222

What OpenQuestion holds

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LicenceCC BY
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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.