Study the pattern of citation indicators among researchers at Hamadan University of Medical Sciences: Feasibility of predicting citation indicators

Today, the extraction of scientometric indicators has been widely used in prediction of the scientific status of researchers, organizations and countries in various national and international fields. The aim of this study was to determine the participation in the production of science and partnership pattern of researchers in Hamedan University of Medical Sciences based on the databases of Web of Science (WoS), Scopus and Google Scholar.
Material and This applied and scientometric study was conducted on 100 top researchers of ISI in terms of the number of articles in 2014. The number of articles, citations and h-index were extracted from WoS, Scopus and Google Scholar from 2012 to 2014. Data were analyzed using SPSS, Stata and R.
Findings: The number of publications and citations has increased over three years in three databases. The correlation between the number of publications in Google Scholar and the number of citations in WoS and Scopus was weak but significant. Negative binomial regression model indicated that the number of publications would be enhanced 7% in WoS and Scopus through the increase of one article in Google Scholar. Zero-inflation negative binomial model illustrated that odds of zero of the citation number in Scopus and WoS will be 0.66 and 0.27 times with increasing one article in Google Scholar and the citation number of Scopus and WOS is increased 2% and 3% with the increase of one article in Google Scholar, respectively.
The results show that there is a direct and strong relationship among the number of publications, citations and h-index in three databases. Negative binomial model can be used as a proper model for the number of publications and zero-inflation negative binomial model can be applied as an appropriate model for the number of citations in WoS and Scopus, too.