Evidence map›Paper›PMID 34248230›Full record

ArticleScientometrics2021

Medical professionalism research characteristics and hotspots: a 10-year bibliometric analysis of publications from 2010 to 2019.

Xinzhi Song, Nan Jiang, Honghe Li, Ning Ding, Deliang Wen

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Xinzhi SongInstitute for International Health Professions Education and Research, China Medical University, No. 77 Puhe Road, Shenyang, 110122 People's Republic of China.
Nan JiangInstitute for International Health Professions Education and Research, China Medical University, No. 77 Puhe Road, Shenyang, 110122 People's Republic of China.
Honghe LiInstitute for International Health Professions Education and Research, China Medical University, No. 77 Puhe Road, Shenyang, 110122 People's Republic of China.
Ning DingInstitute for International Health Professions Education and Research, China Medical University, No. 77 Puhe Road, Shenyang, 110122 People's Republic of China.
Deliang WenInstitute for International Health Professions Education and Research, China Medical University, No. 77 Puhe Road, Shenyang, 110122 People's Republic of China.ORCID 0000-0003-2155-6465

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An abundance of publications on medical professionalism have been published in recent years. Our study aimed to analyze the external characteristics of publications on professionalism using bibliometrics, to describe its current developments and trends, and to explore professionalism research hotspots using co-word analysis. We retrieved literature on professionalism published from 2010 to 2019 from the Web of Science database. Histcite and CiteSpace were used to analyze external characteristics of publications, including publication trends and distributions of publications by country/region, institution, author, and journal. Co-word analysis was conducted to analyze research hotspots, using the Bibliographic Item Co-Occurrence Matrix Builder and Graphical Clustering Toolkit. We constructed a strategic diagram to show the state of each research hotspot and the relationship between the various hotspots in this field. Results showed publications on professionalism increased in number year by year as a whole. The USA, including its institutions and authors, maintained the top position worldwide in terms of numbers of publications and citations. Among scholarly journals, SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11192-021-03993-0.

Indexed as

BibliometricsBiclusteringCo-word analysisMedical professionalismResearch hotspots

Identifiers

PMID34248230
PMCPMC8256397

What OpenQuestion holds

Textmetadata
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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.