Search published articles


Showing 2 results for Co-Word Analysis
Drawing A Scientific Map for Stem-Cell Field During 3 Years Based on Papers Indexed in Web of Science Database in Selected Countries
Zahra Ghasemi Aghbolaghi, Fereydoon Azadeh, Fatemeh Sheikhshoaei,
Volume 12, Issue 2 (7-2018)
Abstract
Background and Aim: In the field of scientometrics, little attention has been paid to stem cells. Therefore, the purpose of this study is to draw a Scientific Map of stem cells area (co-word analysis) based on the papers indexed in Web of Science database in selected countries during the years 2011-2013.
Materials and Methods: This study is based on descriptive method, and it was conducted by scientometrics and co-word analysis technique. In this study, 34,142 articles were analyzed from Web of Science database. The search system of Web of Science is a tool for collecting data. Data analysis was done using Web of Science analysis system and CiteSpace software.
Results: Most productions in stem cells are in English and belong to America. Stem cell, cell differentiation, in vitro, gene expression, mesenchymal stem cells, embryonic stem cells and transplantation are the most frequently used words and hot topics in this field.
Conclusion: The growing trend in this area has caused different subject fields to enter stem cells areas. Considering the high frequency of embryonic stem cells in the field, it can be said that different diseases such as spinal cord problems and heart diseases can be treated using these cells.

Co-Authorship and Word Co-Occurrence Maps in of Endocrinology and Metabolism Scientific Publications of Iran
Fahimeh Mohammadi, Maryam Shekofteh, Maryam Kazerani,
Volume 18, Issue 3 (7-2024)
Abstract
Background and Aim: The growth and development of scientific fields depends on correct and accurate planning and a general and comprehensive understanding of the structure of these fields. Scientific maps are a type of scientometric methods that help to understand the current state of scientific fields and reveal their internal structure. The aim of the present study is to analyze co-authorship and word co-occurrence maps of scientific publications of Iran in the field of endocrinology and metabolism.
Materials and Methods: This is a cross-sectional scientometrics study. The research population is all scientific publications of Iran in the field of Endocrinology and Metabolism on the Web of Science. The co-authorship and co-word maps were analyzed using VOSviewer, Gephi, and NodeXL software. Network analysis was done using social network analysis indicators. Thematic clusters and emerging subjects were also identified through the examination of word co-occurrence networks.
Results: The total scientific publications of Iran in the field of endocrinology and metabolism on the Web of Science was 4847 documents. The co-authorship network is a type of sparse network. The value of the cluster coefficient of this network was 0.212 and its diameter was 11. The average degree of the co-authorship network (6.62) shows that each node is connected with about 6 other nodes on average. The diameter of the co-authorship network is 11. The most productive and influential outhors are Azizi F and Larijani B. Six thematic clusters were identified in the word co-occurrence network, the largest one is oxidative stress and gene expression, followed by the obesity and diabetes cluster. The word “autoimmunity” is one of the emerging words in this field.
Conclusion: Iran’s research in the field of Endocrinology and Metabolism shows an increasing trend, but there is little cooperation between the authors of the field. Their co-authorship networks are sparse, and the authors’ tendency to form clusters is low. Therefore, planning is needed to increase scientific cooperation and the density of networks. It is suggested that the researchers of this field pay attention to the thematic clusters of the co-word network and emerging subjects in the design of their future research.

Page 1 from 1     

© 2025 , Tehran University of Medical Sciences, CC BY-NC 4.0

Designed & Developed by: Yektaweb