Related Experiment Video
Updated: Dec 11, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Contribution of Iran in COVID-19 studies: a bibliometrics analysis
Amrollah Shamsi1, Mohammad Javad Mansourzadeh2, Arash Ghazbani3
1Bushehr University of Medical Sciences, Bushehr, Iran.
Background:
Iran is fighting heroically against COVID-19. Due to the importance of scientific publications in better dealing with this stubborn virus, this study was conducted aiming at reviewing COVID-19 publications by Iranian scientists.
Methods:
We searched for COVID-19 and all its related keywords in the Web of Science (WOS), Scopus and PubMed databases to find documents published by Iranian authors until July 10, 2020. Duplicates documents were excluded, and bibliographic parameters were evaluated. Co-authorship matrix was calculated using Bibexcel, and visualizations were done using VOSviewer.
Results:
A total of 849 documents from 3450 Iranian researchers (5.5 authors per document) were retrieved from WOS, PubMed, and Scopus and Iran ranked 12th and 13th in WOS and Scopus in terms of the number of publications. The average citation per document was 2.2 with the h-index of 18. Original articles and letters were the most common formats for Iranian publications. The Journal of Military Medicine has published the highest number of documents. Iranian authors have mostly collaborated with researchers from the United States, Italy, the UK, and Canada, respectively. The co-occurrence network for keywords represented five publication clusters in the collection, and the largest clusters were related to epidemiological studies and public health, followed by clinical studies on COVID-19.
Conclusion:
Iranian researchers have had a significant scientific contribution in various areas of the disease. However, the network of studies has not been sufficiently cohesive, and more coherent collaboration between researchers at the national and international levels should be on the agenda of research policymakers in the country.
Related Concept Videos
Pareto Chart
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
Steps in Outbreak Investigation
Chi-square Analysis
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
Statistical Methods for Analyzing Epidemiological Data
Bias in Epidemiological Studies
Enzyme-Linked Immunosorbent Assay
There are many different types of ELISAs, but they all involve an antibody molecule whose constant region binds an enzyme, leaving the variable region free to bind its specific antigen. Enzyme-substrate reaction allows the antigen to be visualized or...

