Analyzing research trends after the international journal transition of the Korean Journal of Medical Education: using topic modeling techniques
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yune, So Jung | - |
dc.contributor.author | Park, Kwi Hwa | - |
dc.date.accessioned | 2024-06-14T12:30:28Z | - |
dc.date.available | 2024-06-14T12:30:28Z | - |
dc.date.issued | 2024-06 | - |
dc.identifier.issn | 2005-727X | - |
dc.identifier.issn | 2005-7288 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/91517 | - |
dc.description.abstract | PURPOSE: This study aimed to analyze the research trends of the Korean Journal of Medical Education (KJME) since it became an English-language journal. METHODS: A total of 274 articles published in KJME from 2016 to 2023 were analyzed. All article types were included in the analysis. NetMiner ver. 4.0 (Cyram Inc., Korea) was used for the main keyword and topic modeling analysis. RESULTS: Of the 274 articles, 170 (62%) and 104 (38%) were by domestic and international authors, respectively. The main keywords with high frequency were students, learning, experience, pandemic, and perception. Three topics were derived using topic matching analysis: residents' perception and attitude of the pandemic, assessment of learning and achievement, and learning experiences in the pandemic. CONCLUSION: Since the shift to English-language journals, medical education research has witnessed an increase in the number of articles published by international authors. Research on postgraduate education has increased. Research topics are relevant to situations such as the coronavirus disease 2019 pandemic. These findings can help researchers select research topics and encourage them to submit their research to the journal. | - |
dc.format.extent | 7 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | 한국의학교육학회 | - |
dc.title | Analyzing research trends after the international journal transition of the Korean Journal of Medical Education: using topic modeling techniques | - |
dc.type | Article | - |
dc.identifier.doi | 10.3946/kjme.2024.291 | - |
dc.identifier.bibliographicCitation | Korean journal of medical education, v.36, no.2, pp 137 - 143 | - |
dc.identifier.kciid | ART003083921 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.scopusid | 2-s2.0-85195251495 | - |
dc.citation.endPage | 143 | - |
dc.citation.startPage | 137 | - |
dc.citation.title | Korean journal of medical education | - |
dc.citation.volume | 36 | - |
dc.citation.number | 2 | - |
dc.type.docType | Article | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | Analysis | - |
dc.subject.keywordAuthor | Medical education | - |
dc.subject.keywordAuthor | Methodology | - |
dc.subject.keywordAuthor | Research | - |
dc.subject.keywordAuthor | Topic | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.