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Hotspots in research on the measurement of medical students’ clinical competence from 2012-2016 based on co-word analysis

Overview of attention for article published in BMC Medical Education, September 2017
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Title
Hotspots in research on the measurement of medical students’ clinical competence from 2012-2016 based on co-word analysis
Published in
BMC Medical Education, September 2017
DOI 10.1186/s12909-017-0999-8
Pubmed ID
Authors

Xing Chang, Xin Zhou, Linzhi Luo, Chengjia Yang, Hui Pan, Shuyang Zhang

Abstract

This study aimed to identify hotspots in research on clinical competence measurements from 2012 to 2016. 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. 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. 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.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 15%
Professor > Associate Professor 5 11%
Student > Master 5 11%
Researcher 4 9%
Student > Bachelor 3 7%
Other 8 17%
Unknown 14 30%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Social Sciences 7 15%
Nursing and Health Professions 3 7%
Engineering 3 7%
Psychology 3 7%
Other 4 9%
Unknown 16 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 September 2017.
All research outputs
#18,571,001
of 23,001,641 outputs
Outputs from BMC Medical Education
#2,779
of 3,363 outputs
Outputs of similar age
#242,465
of 315,999 outputs
Outputs of similar age from BMC Medical Education
#53
of 60 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,363 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,999 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.