Evidence map›Paper›PMID 37005634›Full record

ArticleBMC medical education2023

The impact of COVID-19 on online medical education: a knowledge graph analysis based on co-term analysis.

Huijiao Deng, Yi Jiang, Qinrong Han, Xingyu Zhou, Siyang Zhong, Kai Hu, Lin Yang

Abstract read
In one paragraph

Article in BMC medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
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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

7 authors.

Huijiao Deng *Zhuhai Campus of Zunyi Medical University, Zhuhai, 519000, China.
Yi Jiang *Zhuhai Campus of Zunyi Medical University, Zhuhai, 519000, China.
Qinrong Han *Zhuhai Campus of Zunyi Medical University, Zhuhai, 519000, China.
Xingyu Zhou *Zhuhai Campus of Zunyi Medical University, Zhuhai, 519000, China.
Siyang ZhongZhuhai Campus of Zunyi Medical University, Zhuhai, 519000, China.
Kai HuZhuhai Campus of Zunyi Medical University, Zhuhai, 519000, China. 196875734@qq.com.
Lin YangKey Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences (CAS), Shenzhen, 518055, China. aiyzwll@aliyun.com.

Funding

Cooperative Education Project of Production and Education of the Higher Education Department of the Ministry of Education No.202101250012National Innovation and Entrepreneurship Training Program for College Students No.202210661029National Natural Science Foundation of China No.82260456the College Students Innovation and Entrepreneurship Training Program of Zunyi Medical University No.ZHCX2022002the College Students Innovation and Entrepreneurship Training Program of Zunyi Medical University No.ZHCX2022003The Undergraduate education and teaching reform plan project of Zunyi Medical University No.XJJG2022-95
6 · The paper itself

Abstract

backgroundThis study aims to identify the characteristics and future directions of online medical education in the context of the novel coronavirus outbreak new through visual analytics using CiteSpace and VOSviewer bibliometric methods.

methodFrom Web of Science, we searched for articles published between 2020 and 2022 using the terms online education, medical education and COVID-19, ended up with 2555 eligible papers, and the articles published between 2010 and 2019 using the terms online education, medical education and COVID-19, and we ended up with 4313 eligible papers.

resultsBefore the COVID-19 outbreak, Medical students and care were the most frequent keywords and the most cited author was BRENT THOMA with 18 times. The United States is the country with the greatest involvement and research impact in the field of online medical education. The most cited journal is ACAD MED with 1326 citations. After the COVID-19 outbreak, a surge in the number of research results in related fields, and ANXIETY and four secondary keywords were identified. In addition, the concentration of authors of these publications in the USA and China is a strong indication that local epidemics and communication technologies have influenced the development of online medical education research. Regarding the centrality of research institutions, the most influential co-author network is Harvard Medical School in the United States; and regarding the centrality of references, the most representative journal to which it belongs is VACCINE.

conclusionThis study found that hey information such as keywords, major institutions and authors, and countries differ in the papers before and after the COVID-19 outbreak. The novel coronavirus outbreak had a significant impact on the online education aspect. For non-medical and medical students, the pandemic has led to home isolation, making it difficult to offer face-to-face classes such as laboratory operations. Students have lost urgency and control over the specifics of face-to-face instruction, which has reduced the quality of teaching. Therefore, we should improve our education model according to the actual situation to ensure the quality of teaching while taking into account the physical and psychological health of students.

Indexed as

COVID-19Education, DistanceEducation, MedicalHumansPattern Recognition, AutomatedSARS-CoV-2COVID-19Co-word analyseKnowledge spectrumMedical educationOnline educationVisual analysis

Identifiers

PMID37005634
PMCPMC10067015

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.