Citation analysis for biomedical and health sciences journals published in Korea

Juyeon Oh, Hyejung Chang, Jung A. Kim, Mona Choi, Ziyoung Park, Yoonhee Cho, Eun Gyu Lee

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


Objectives: A citation analysis of biomedical and health sciences journals was conducted based on their enlistment in journal databases to identify the factors contributing to the citation metrics. Methods: Among the 1,219 academic journals managed by the National Center for Medical Information and Knowledge at the Korea Centers for Disease Control and Prevention, 556 journals were included for analysis as of July 2016. The characteristics of the journals include history years, publication media, language, open-access policy as well as the status enlisted in international and domestic databases, such as Science Citation Index (SCI), Scopus, Medline, PubMed Central, Embase, and Korea Citation Index (KCI). Six bibliometric measures were collected from SCI, Scopus, and KCI as of 2015, the most recent disclosure year. Analyses of group differences and influential factors were conducted using t-tests, Mann-Whitney tests, and multiple regression. Results: Journal characteristics, such as history years, publication media, and open-access policy, were not significant factors influencing global or domestical citation of the journals. However, global citations were higher for SCI and Medline enlisted journals than for their counterparts. Among KCI journals, the KCI impact factors of journals published in English only were lower. Conclusions: Efforts by journals to be enlisted in international databases, especially in SCI and Medline, are critical to enhance their global circulation. However, articles published in English only hinder the use of domestic researchers. Different strategies are required for enhancing international and domestic readerships.

Original languageEnglish
Pages (from-to)218-225
Number of pages8
JournalHealthcare Informatics Research
Issue number3
Publication statusPublished - 2017

Bibliographical note

Funding Information:
This work was supported by the Research Program funded by the Korea Centers for Disease Control and Prevention (No. 20160701579-00). Special thanks are extended to Yeji Kim, Sujin Cho from Kyung Hee University, and Yoonhwan Kim from Yonsei University for their contribution to this project.

Publisher Copyright:
© 2017 The Korean Society of Medical Informatics.

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management


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