Bibliometric analysis of journal of clinical and diagnostic research (dentistry section; 2007-2014)

J Clin Diagn Res. 2015 Apr;9(4):ZC47-51. doi: 10.7860/JCDR/2015/11994.5834. Epub 2015 Apr 1.


Background: The role of scientific journals in diffusion of data concerning researches in the field of Public Health Dentistry is of premier importance. Bibliometric analysis involves analysis of publications reflecting the type of research work.

Aim: The present study was conducted with an aim to determine the number and trends of published articles in Journal of Clinical and Diagnostic Research (JCDR) from Feb. 2007 to Oct.2014.

Settings and design: A retrospective observational study was conducted for JCDR.

Materials and methods: All issues of JCDR were electronically searched for the parameters : study design, area of interest of research, state /college where research was conducted, authorship pattern, source of articles published each year, changing study trends, disease under study and publication bias.

Statistical analysis used: The data was organized and analyzed using software SPSS - version 21.0; descriptive statistics was used.

Results: Bibliometric analysis was done for 601 articles of JCDR published from Feb. 2007 to Oct. 2014. The total number of articles published under Dentistry section have tremendously increased from mere 2 articles in 2007 to 328 articles in 2014.Majority of the study designs published in both the journal were case reports (42.6%) followed by cross sectional studies (24.8%). 96.3% of the articles were from India. Majority of the articles published were of multi authors (65.2%) and from Educational institutes (98.4%). The trends of the articles published indicated that the case reports/series formed the major bulk (others=59.1%) followed by research studies (21.3%).

Conclusion: It was concluded that most articles published were case reports followed by researches indicating an inclination towards better quality methodology. The SJR and the citation count of the articles published also indicated the quality of the scientific articles published.

Keywords: Authorship pattern; Bibliometry; Study designs; Trends.