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Hotspots in research on the measurement of medical students’ clinical competence from 2012-2016 based on co-word analysis
BACKGROUND: This study aimed to identify hotspots in research on clinical competence measurements from 2012 to 2016. METHODS: The authors retrieved literature published between 2012 and 2016 from PubMed using selected medical subject headings (MeSH) terms. They used BibExcel software to generate hig...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596946/ https://www.ncbi.nlm.nih.gov/pubmed/28899380 http://dx.doi.org/10.1186/s12909-017-0999-8 |
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author | Chang, Xing Zhou, Xin Luo, Linzhi Yang, Chengjia Pan, Hui Zhang, Shuyang |
author_facet | Chang, Xing Zhou, Xin Luo, Linzhi Yang, Chengjia Pan, Hui Zhang, Shuyang |
author_sort | Chang, Xing |
collection | PubMed |
description | BACKGROUND: This study aimed to identify hotspots in research on clinical competence measurements from 2012 to 2016. METHODS: The authors retrieved literature published between 2012 and 2016 from PubMed using selected medical subject headings (MeSH) terms. They used BibExcel software to generate high-frequency MeSH terms and identified hotspots by co-word analysis and cluster analysis. RESULTS: The authors searched 588 related articles and identified 31 high-frequency MeSH terms. In addition, they obtained 6 groups of high-frequency MeSH terms that reflected the domain hotspots. CONCLUSIONS: This study identified 6 hotspots of domain research, including studies on influencing factors and perception evaluation, improving and developing measurement tools, feedback measurement, measurement approaches based on computer simulation, the measurement of specific students in different learning phases, and the measurement of students’ communication ability. All of these research topics could provide useful information for educators and researchers to continually conduct in-depth studies. |
format | Online Article Text |
id | pubmed-5596946 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55969462017-09-15 Hotspots in research on the measurement of medical students’ clinical competence from 2012-2016 based on co-word analysis Chang, Xing Zhou, Xin Luo, Linzhi Yang, Chengjia Pan, Hui Zhang, Shuyang BMC Med Educ Research Article BACKGROUND: This study aimed to identify hotspots in research on clinical competence measurements from 2012 to 2016. METHODS: The authors retrieved literature published between 2012 and 2016 from PubMed using selected medical subject headings (MeSH) terms. They used BibExcel software to generate high-frequency MeSH terms and identified hotspots by co-word analysis and cluster analysis. RESULTS: The authors searched 588 related articles and identified 31 high-frequency MeSH terms. In addition, they obtained 6 groups of high-frequency MeSH terms that reflected the domain hotspots. CONCLUSIONS: This study identified 6 hotspots of domain research, including studies on influencing factors and perception evaluation, improving and developing measurement tools, feedback measurement, measurement approaches based on computer simulation, the measurement of specific students in different learning phases, and the measurement of students’ communication ability. All of these research topics could provide useful information for educators and researchers to continually conduct in-depth studies. BioMed Central 2017-09-12 /pmc/articles/PMC5596946/ /pubmed/28899380 http://dx.doi.org/10.1186/s12909-017-0999-8 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Chang, Xing Zhou, Xin Luo, Linzhi Yang, Chengjia Pan, Hui Zhang, Shuyang Hotspots in research on the measurement of medical students’ clinical competence from 2012-2016 based on co-word analysis |
title | Hotspots in research on the measurement of medical students’ clinical competence from 2012-2016 based on co-word analysis |
title_full | Hotspots in research on the measurement of medical students’ clinical competence from 2012-2016 based on co-word analysis |
title_fullStr | Hotspots in research on the measurement of medical students’ clinical competence from 2012-2016 based on co-word analysis |
title_full_unstemmed | Hotspots in research on the measurement of medical students’ clinical competence from 2012-2016 based on co-word analysis |
title_short | Hotspots in research on the measurement of medical students’ clinical competence from 2012-2016 based on co-word analysis |
title_sort | hotspots in research on the measurement of medical students’ clinical competence from 2012-2016 based on co-word analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596946/ https://www.ncbi.nlm.nih.gov/pubmed/28899380 http://dx.doi.org/10.1186/s12909-017-0999-8 |
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