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International Scientific Collaboration on Pituitary Research: A Social Network Analysis

Background: Social network analysis (SNA) evaluates the connections and behavior of individuals in social groups. The scientific collaboration network is a kind of SNAs. A social network could be defined as a collection of nodes (social existence) and links (connections) associated with the nodes. T...

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Autores principales: Hashemi-Madani, Nahid, Emami, Zahra, E. Khamseh, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Iran University of Medical Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399295/
https://www.ncbi.nlm.nih.gov/pubmed/36060317
http://dx.doi.org/10.47176/mjiri.35.194
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author Hashemi-Madani, Nahid
Emami, Zahra
E. Khamseh, Mohammad
author_facet Hashemi-Madani, Nahid
Emami, Zahra
E. Khamseh, Mohammad
author_sort Hashemi-Madani, Nahid
collection PubMed
description Background: Social network analysis (SNA) evaluates the connections and behavior of individuals in social groups. The scientific collaboration network is a kind of SNAs. A social network could be defined as a collection of nodes (social existence) and links (connections) associated with the nodes. The aim of this study was to evaluate the scientific outputs and collaboration networks of the countries and authors using indicators of SNA in the field of pituitary disorders between 2000 and 2020. Methods: This is a practical study performed by applying a scientometric approach and SNA. We retrieved 31257 papers in the field of pituitary disorders between 2000 and 2020. Data were analyzed using scientific software, namely, VOSviewer, UciNet, and Netdarw. Results: Based on degree centrality, Colao and Pivonello in the world, Shimon and Kadioghlu in the Middle-East (ME), and Khamseh, Ghorbani in Iran achieved the top ranking. Based on the betweenness centrality, Pivonello, Colao, and Chanson in the world, Laws, and Kadioghlu in the Middle-East, and Larijani, Mohseni, and Khamseh in Iran were known as the top authors. According to closeness centrality, Pivonello, Colao, and Chanson in the world, Kadioghlu and Kelestimur in the Middle-East, and Mohseni, Khamseh, and Larijani in Iran were the top authors. The map of the authors’ collaboration in the field of pituitary disorders consists of 92 nodes. A total number of 77313 authors had global collaboration. The global collaboration network was comprised of 129 nodes (country) and 2694 links (country’s collaboration). The Middle-East collaboration network revealed 69 nodes and 1708 links. The collaboration network of the Middle-East countries consists of 13 nodes and 50 links. Conclusion: Authors with a higher degree, betweenness and closeness centrality have greater efficiency (the number of articles) and effectiveness (the number of received citations). Moreover, the authors and countries that published more scientific products received more citations. In addition, in the Middle-East countries, the interdisciplinary scientific collaboration between the researchers in the fields of endocrinology, neurosurgery, pathology, and radiology has a significant impact on improving scientific outputs.
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spelling pubmed-93992952022-09-02 International Scientific Collaboration on Pituitary Research: A Social Network Analysis Hashemi-Madani, Nahid Emami, Zahra E. Khamseh, Mohammad Med J Islam Repub Iran Original Article Background: Social network analysis (SNA) evaluates the connections and behavior of individuals in social groups. The scientific collaboration network is a kind of SNAs. A social network could be defined as a collection of nodes (social existence) and links (connections) associated with the nodes. The aim of this study was to evaluate the scientific outputs and collaboration networks of the countries and authors using indicators of SNA in the field of pituitary disorders between 2000 and 2020. Methods: This is a practical study performed by applying a scientometric approach and SNA. We retrieved 31257 papers in the field of pituitary disorders between 2000 and 2020. Data were analyzed using scientific software, namely, VOSviewer, UciNet, and Netdarw. Results: Based on degree centrality, Colao and Pivonello in the world, Shimon and Kadioghlu in the Middle-East (ME), and Khamseh, Ghorbani in Iran achieved the top ranking. Based on the betweenness centrality, Pivonello, Colao, and Chanson in the world, Laws, and Kadioghlu in the Middle-East, and Larijani, Mohseni, and Khamseh in Iran were known as the top authors. According to closeness centrality, Pivonello, Colao, and Chanson in the world, Kadioghlu and Kelestimur in the Middle-East, and Mohseni, Khamseh, and Larijani in Iran were the top authors. The map of the authors’ collaboration in the field of pituitary disorders consists of 92 nodes. A total number of 77313 authors had global collaboration. The global collaboration network was comprised of 129 nodes (country) and 2694 links (country’s collaboration). The Middle-East collaboration network revealed 69 nodes and 1708 links. The collaboration network of the Middle-East countries consists of 13 nodes and 50 links. Conclusion: Authors with a higher degree, betweenness and closeness centrality have greater efficiency (the number of articles) and effectiveness (the number of received citations). Moreover, the authors and countries that published more scientific products received more citations. In addition, in the Middle-East countries, the interdisciplinary scientific collaboration between the researchers in the fields of endocrinology, neurosurgery, pathology, and radiology has a significant impact on improving scientific outputs. Iran University of Medical Sciences 2021-12-31 /pmc/articles/PMC9399295/ /pubmed/36060317 http://dx.doi.org/10.47176/mjiri.35.194 Text en © 2021 Iran University of Medical Sciences https://creativecommons.org/licenses/by-nc-sa/1.0/This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial-ShareAlike 1.0 License (CC BY-NC-SA 1.0), which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.
spellingShingle Original Article
Hashemi-Madani, Nahid
Emami, Zahra
E. Khamseh, Mohammad
International Scientific Collaboration on Pituitary Research: A Social Network Analysis
title International Scientific Collaboration on Pituitary Research: A Social Network Analysis
title_full International Scientific Collaboration on Pituitary Research: A Social Network Analysis
title_fullStr International Scientific Collaboration on Pituitary Research: A Social Network Analysis
title_full_unstemmed International Scientific Collaboration on Pituitary Research: A Social Network Analysis
title_short International Scientific Collaboration on Pituitary Research: A Social Network Analysis
title_sort international scientific collaboration on pituitary research: a social network analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399295/
https://www.ncbi.nlm.nih.gov/pubmed/36060317
http://dx.doi.org/10.47176/mjiri.35.194
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