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A 5-Year Scientometric Analysis of Research Centers Affiliated to Tehran University of Medical Sciences



Yazdani K1 ; Rahimimovaghar A2 ; Nedjat S3 ; Ghalichi L4 ; Khalili M1
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Authors Affiliations
  1. 1. Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Iranian National Center for Addiction Studies (INCAS), Iranian Institute for Reduction of High-Risk Behaviors, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Epidemiology and Biostatistics, School of Public Health, Knowledge Utilization Research Center, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Iranian National Center for Addiction Studies (INCAS), Tehran University of Medical Sciences, Tehran, Iran

Source: Medical Journal of the Islamic Republic of Iran Published:2015

Abstract

Background: Since Tehran University of Medical Sciences (TUMS) has the oldest and highest number of research centers among all Iranian medical universities, this study was conducted to evaluate scientific output of research centers affiliated to Tehran University of Medical Sciences (TUMS) using scientometric indices and the affecting factors. Moreover, a number of scientometric indicators were introduced. Methods: This cross-sectional study was performed to evaluate a 5-year scientific performance of research centers of TUMS. Data were collected through questionnaires, annual evaluation reports of the Ministry of Health, and also from Scopus database. We used appropriate measures of central tendency and variation for descriptive analyses. Moreover, uni-and multi-variable linear regression were used to evaluate the effect of independent factors on the scientific output of the centers. Results: The medians of the numbers of papers and books during a 5-year period were 150.5 and 2.5 respectively. The median of the articles per researcher was 19.1. Based on multiple linear regression, younger age centers (p=0.001), having a separate budget line (p=0.016), and number of research personnel (p<0.001) had a direct significant correlation with the number of articles while real properties had a reverse significant correlation with it (p=0.004). Conclusion: The results can help policy makers and research managers to allocate sufficient resources to improve current situation of the centers. Newly adopted and effective scientometric indices are is suggested to be used to evaluate scientific outputs and functions of these centers.
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