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Korean J Parasitol. 2009 Oct;47(Suppl):S155-S167.
Published online 2009 October 27.  doi: 10.3347/kjp.2009.47.S.S155.
Copyright © 2009 by The Korean Society for Parasitology
Bibliometric Analysis of the Korean Journal of Parasitology: Measured from SCI, PubMed, Scopus, and Synapse Databases
Choon Shil Lee
Department of Library and Information Science, Sookmyung Women's University, Seoul 140-742, Korea.

Corresponding author (Email: cslee@sookmyung.ac.kr )
Received October 09, 2009; Revised October 12, 2009; Accepted October 12, 2009.

Abstract

The Korean Journal of Parasitology (KJP) is the official journal of the Korean Society for Parasitology which is celebrating its 50th anniversary in 2009. To assess the contributions and achievements of the KJP, bibliometric analysis was conducted based on the citation data retrieved from 4 major databases; SCI, PubMed, Synapse, and Scopus. It was found that the KJP articles were constantly cited by the articles published in major international journals represented in these databases. More than 60% of 1,370 articles published in the KJP from 1963 to June 2009 were cited at least once by SCI articles. The overall average times cited by SCI articles are 2.6. The rate is almost 3 times higher for the articles published in the last 10 years compared to 1.0 for the articles of the 1960s. The SCI journal impact factor for 2008 is calculated as 0.871. It is increasing and it is expected to increase further with the introduction of the KJP in the database in 2008. The more realistic h-indixes were measured from the study data set covering all the citations to the KJP; 17 for SCI, 6 for PubMed, 19 for Synapse, and 17 for Scopus. Synapse extensively picked up the citations to the earlier papers not retrievable from the other 3 databases. It identified many papers published in the 1960s and in the 1980s which have been cited heavily, proving the central role of the KJP in the dissemination of the important research findings over the last 5 decades.

Keywords: Korean Journal of Parasitology, KJP, bibliometric analysis, citation analysis, journal impact factor, h-index, SCI, PubMed, PubMed Central, Synapse, Scopus, CrossRef, DOI.
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