Evidence map›Paper›PMID 34134681›Full record

ArticleBMC medical education2021

Visualization of clinical teaching citations using social network analysis.

Hakimeh Hazrati, Shoaleh Bigdeli, Seyed Kamran Soltani Arabshahi, Vahideh Zarea Gavgani, Nafiseh Vahed

Open access · goldAbstract read
In one paragraph

Article in BMC medical education, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Current Status and Trends in Research on Caries Diagnosis: A Bibliometric Analysis.International journal of environmental research and public health · 2022
    Article
  4. Article
  5. 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 at 2 institutions in 1 country.

Hakimeh HazratiCenter for Educational Research in Medical Sciences (CERMS), Department of Medical Education, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-9736-5652
Shoaleh BigdeliCenter for Educational Research in Medical Sciences (CERMS), Department of Medical Education, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-9672-2726
Seyed Kamran Soltani ArabshahiCenter for Educational Research in Medical Sciences (CERMS), Department of Medical Education, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-9016-2593
Vahideh Zarea GavganiDepartment of Medical Library and Information Sciences, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran, Tabriz Health Services Management Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. zarehv@tbzmed.ac.ir.ORCID http://orcid.org/0000-0002-3278-6859
Nafiseh VahedResearch Center for Evidence Based Medicine, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID https://orcid.org/0000-0002-6544-5014
Iran University of Medical Sciences · IRTabriz University of Medical Sciences · IR

Funding

Vice-Chancellor for Research, Iran University of Sciences (IR.IUMS.FMD.REC.1398.217)
6 · The paper itself

Abstract

backgroundAnalyzing the previous research literature in the field of clinical teaching has potential to show the trend and future direction of this field. This study aimed to visualize the co-authorship networks and scientific map of research outputs of clinical teaching and medical education by Social Network Analysis (SNA).

methodsWe Identified 1229 publications on clinical teaching through a systematic search strategy in the Scopus (Elsevier), Web of Science (Clarivate Analytics) and Medline (NCBI/NLM) through PubMed from the year 1980 to 2018.The Ravar PreMap, Netdraw, UCINet and VOSviewer software were used for data visualization and analysis.

resultsBased on the findings of study the network of clinical teaching was weak in term of cohesion and the density in the co-authorship networks of authors (clustering coefficient (CC): 0.749, density: 0.0238) and collaboration of countries (CC: 0.655, density: 0.176). In regard to centrality measures; the most influential authors in the co-authorship network was Rosenbaum ME, from the USA (0.048). More, the USA, the UK, Canada, Australia and the Netherlands have central role in collaboration countries network and has the vertex co-authorship with other that participated in publishing articles in clinical teaching. Analysis of background and affiliation of authors showed that co-authorship between clinical researchers in medicine filed is weak. Nineteen subject clusters were identified in the clinical teaching research network, seven of which were related to the expected competencies of clinical teaching and three related to clinical teaching skills.

conclusionsIn order to improve the cohesion of the authorship network of clinical teaching, it is essential to improve research collaboration and co-authorship between new researchers and those who have better closeness or geodisk path with others, especially those with the clinical background. To reach to a dense and powerful topology in the knowledge network of this field encouraging policies to be made for international and national collaboration between clinicians and clinical teaching specialists. In addition, humanitarian and clinical reasoning need to be considered in clinical teaching as of new direction in the field from thematic aspects.

Indexed as

AuthorshipSocial Network AnalysisAustraliaCanadaHumansNetherlandsCentralityDensityHospital teachingRound teachingSocial network analysis

Identifiers

PMID34134681
PMCPMC8207751
OpenAlexW3122071511

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.