Citation Analysis of Hepatitis Monthly by Journal Citation Report (ISI), Google Scholar, and Scopus


Seyyed Mohammad Miri 2 , Azam Raoofi 2 , * , Zahra Heidari 3

2 Kowsar, [email protected], The Netherlands

3 Department of Clinical Psychology, Shahid Beheshti University of Medical Science and Health Services, IR Iran

How to Cite: Miri S M, Raoofi A, Heidari Z. Citation Analysis of Hepatitis Monthly by Journal Citation Report (ISI), Google Scholar, and Scopus , Hepat Mon. Online ahead of Print ; 12(9):7441. doi: 10.5812/hepatmon.7441.


Hepatitis Monthly: 12 (9); 7441
Published Online: September 30, 2012
Article Type: Brief Report
Received: January 25, 2012
Accepted: July 28, 2012


Background: Citation analysis as one of the most widely used methods of bibliometrics can be used for computing the various impact measures for scholars based on data from citation databases. Journal Citation Reports (JCR) from Thomson Reuters provides annual report in the form of impact factor (IF) for each journal.

Objectives: We aimed to evaluate the citation parameters of Hepatitis Monthly by JCR in 2010 and compare them with GS and Sc.

Materials and Methods: All articles of Hepat Mon published in 2009 and 2008 which had been cited in 2010 in three databases including WoS, Sc and GS gathered in a spreadsheet. The IFs were manually calculated.

Results: Among the 104 total published articles the accuracy rates of GS and Sc in recording the total number of articles was 96% and 87.5%. There was a difference between IFs among the three databases (0.793 in ISI [Institute for Scientific Information], 0.945 in Sc and 0.85 GS). The missing rate of citations in ISI was 4% totally. Original articles were the main cited types, whereas, guidelines and clinical challenges were the least ones.

Conclusions: None of the three databases succeed to record all articles published in the journal. Despite high sensitivity of GS comparing to Sc, it cannot be a reliable source for indexing since GS has lack of screening in the data collection and low specificity. Using an average of three IFs is suggested to find the correct IF. Editors should be more aware on the role of original articles in increasing IF and the potential efficacy of review articles in long term impact factor.

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