Trends in metabolic dysfunction in polycystic ovary syndrome: a bibliometric analysis

Polycystic ovary syndrome (PCOS) is a very common chronic disease and causes reproductive disorders in women of childbearing age worldwide. The cause of metabolic dysfunction in PCOS is unknown, and there is a lack of systematic bibliometric analysis for this disease. This study included 3,972 artic...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Yan, Cao, Zhiqun, Chen, Ting, Ren, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10494444/
https://www.ncbi.nlm.nih.gov/pubmed/37701893
http://dx.doi.org/10.3389/fendo.2023.1245719
_version_ 1785104693735718912
author Xu, Yan
Cao, Zhiqun
Chen, Ting
Ren, Jian
author_facet Xu, Yan
Cao, Zhiqun
Chen, Ting
Ren, Jian
author_sort Xu, Yan
collection PubMed
description Polycystic ovary syndrome (PCOS) is a very common chronic disease and causes reproductive disorders in women of childbearing age worldwide. The cause of metabolic dysfunction in PCOS is unknown, and there is a lack of systematic bibliometric analysis for this disease. This study included 3,972 articles on metabolic dysfunction in PCOS published from 2012 to 2021. We applied the VOSviewer and the CiteSpace scientometric analysis software to analyze the data regarding the publication of the articles, countries, authors, institutions, scientific categories, cited journals, and keywords. Through this analysis, we determined the research efforts and their developing trends and anticipated the progress in understanding PCOS-related metabolic dysfunction.
format Online
Article
Text
id pubmed-10494444
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-104944442023-09-12 Trends in metabolic dysfunction in polycystic ovary syndrome: a bibliometric analysis Xu, Yan Cao, Zhiqun Chen, Ting Ren, Jian Front Endocrinol (Lausanne) Endocrinology Polycystic ovary syndrome (PCOS) is a very common chronic disease and causes reproductive disorders in women of childbearing age worldwide. The cause of metabolic dysfunction in PCOS is unknown, and there is a lack of systematic bibliometric analysis for this disease. This study included 3,972 articles on metabolic dysfunction in PCOS published from 2012 to 2021. We applied the VOSviewer and the CiteSpace scientometric analysis software to analyze the data regarding the publication of the articles, countries, authors, institutions, scientific categories, cited journals, and keywords. Through this analysis, we determined the research efforts and their developing trends and anticipated the progress in understanding PCOS-related metabolic dysfunction. Frontiers Media S.A. 2023-08-28 /pmc/articles/PMC10494444/ /pubmed/37701893 http://dx.doi.org/10.3389/fendo.2023.1245719 Text en Copyright © 2023 Xu, Cao, Chen and Ren https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Xu, Yan
Cao, Zhiqun
Chen, Ting
Ren, Jian
Trends in metabolic dysfunction in polycystic ovary syndrome: a bibliometric analysis
title Trends in metabolic dysfunction in polycystic ovary syndrome: a bibliometric analysis
title_full Trends in metabolic dysfunction in polycystic ovary syndrome: a bibliometric analysis
title_fullStr Trends in metabolic dysfunction in polycystic ovary syndrome: a bibliometric analysis
title_full_unstemmed Trends in metabolic dysfunction in polycystic ovary syndrome: a bibliometric analysis
title_short Trends in metabolic dysfunction in polycystic ovary syndrome: a bibliometric analysis
title_sort trends in metabolic dysfunction in polycystic ovary syndrome: a bibliometric analysis
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10494444/
https://www.ncbi.nlm.nih.gov/pubmed/37701893
http://dx.doi.org/10.3389/fendo.2023.1245719
work_keys_str_mv AT xuyan trendsinmetabolicdysfunctioninpolycysticovarysyndromeabibliometricanalysis
AT caozhiqun trendsinmetabolicdysfunctioninpolycysticovarysyndromeabibliometricanalysis
AT chenting trendsinmetabolicdysfunctioninpolycysticovarysyndromeabibliometricanalysis
AT renjian trendsinmetabolicdysfunctioninpolycysticovarysyndromeabibliometricanalysis

Ejemplares similares