João Pedro Veras Torres, Eduardo Correia Eulálio, Felipe da Costa Oliveira, Gabriel Fontenele Ximenes, Helvécio Neves Feitosa Filho, Leonardo Brito de Souza, Edward Araujo Júnior, Marcelo Cavalcante
{"title":"子宫内膜异位症与不孕症：对2000年至2023年被引用次数最多的100篇文章进行文献计量分析。","authors":"João Pedro Veras Torres, Eduardo Correia Eulálio, Felipe da Costa Oliveira, Gabriel Fontenele Ximenes, Helvécio Neves Feitosa Filho, Leonardo Brito de Souza, Edward Araujo Júnior, Marcelo Cavalcante","doi":"10.1159/000541380","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to conduct a bibliometric analysis of research on endometriosis and infertility, focusing on the 100 most cited (TOP100) articles in the literature.</p><p><strong>Design: </strong>Bibliometric Analysis Participants/Materials, Setting, Methods: The SCOPUS database was searched using the terms \"endometriosis\" and \"infertility.\" The productivity and impact of research publications by authors, countries, and journals were assessed using the following indicators: total number of publications (TNP), total number of citations (TNC), JIF, and JCI. The bibliometric analysis was conducted from January 1, 2000, to December 31, 2023, using IBM SPSS™ for Windows and VOSviewer 1.6.20. VOSviewer was used to evaluate the TNC, total number of authors/co-authors, and collaboration network between countries of the TOP100 articles. VOSviewer was also used to create keyword co-occurrence networks.</p><p><strong>Results: </strong>Of the TOP100 articles, 69 were literature review articles, with a mean of 448.97 + 513.5 citations (range: 191 to 2705). The TOP100 articles were published by 479 authors (mean 5.8 + 7.3 per study) from 40 countries in 39 high-impact journals. The keyword co-occurrence network revealed a grouping of four clusters, with terms related to pathophysiology, clinical management, assisted reproductive technology, and hormonal treatment of endometriosis.</p><p><strong>Limitations: </strong>The main limitation of our study is the use of only one database and TNC as the main bibliometric indicator. Studies need at least 2 to 3 years after publication to accumulate sufficient citations for bibliometric indicators to be reliable. This means that large number of recent studies were not included in this bibliometric analysis.</p><p><strong>Conclusions: </strong>This study revealed trends in endometriosis and infertility research, especially in the fields of immunology and genetics. It also highlights the importance of global collaboration to improve diagnostics, treatments and outcomes.</p>","PeriodicalId":12952,"journal":{"name":"Gynecologic and Obstetric Investigation","volume":" ","pages":"1-19"},"PeriodicalIF":2.0000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Endometriosis and infertility: a bibliometric analysis of the 100 most cited articles from 2000 to 2023.\",\"authors\":\"João Pedro Veras Torres, Eduardo Correia Eulálio, Felipe da Costa Oliveira, Gabriel Fontenele Ximenes, Helvécio Neves Feitosa Filho, Leonardo Brito de Souza, Edward Araujo Júnior, Marcelo Cavalcante\",\"doi\":\"10.1159/000541380\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>This study aimed to conduct a bibliometric analysis of research on endometriosis and infertility, focusing on the 100 most cited (TOP100) articles in the literature.</p><p><strong>Design: </strong>Bibliometric Analysis Participants/Materials, Setting, Methods: The SCOPUS database was searched using the terms \\\"endometriosis\\\" and \\\"infertility.\\\" The productivity and impact of research publications by authors, countries, and journals were assessed using the following indicators: total number of publications (TNP), total number of citations (TNC), JIF, and JCI. The bibliometric analysis was conducted from January 1, 2000, to December 31, 2023, using IBM SPSS™ for Windows and VOSviewer 1.6.20. VOSviewer was used to evaluate the TNC, total number of authors/co-authors, and collaboration network between countries of the TOP100 articles. VOSviewer was also used to create keyword co-occurrence networks.</p><p><strong>Results: </strong>Of the TOP100 articles, 69 were literature review articles, with a mean of 448.97 + 513.5 citations (range: 191 to 2705). The TOP100 articles were published by 479 authors (mean 5.8 + 7.3 per study) from 40 countries in 39 high-impact journals. The keyword co-occurrence network revealed a grouping of four clusters, with terms related to pathophysiology, clinical management, assisted reproductive technology, and hormonal treatment of endometriosis.</p><p><strong>Limitations: </strong>The main limitation of our study is the use of only one database and TNC as the main bibliometric indicator. 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Endometriosis and infertility: a bibliometric analysis of the 100 most cited articles from 2000 to 2023.
Objectives: This study aimed to conduct a bibliometric analysis of research on endometriosis and infertility, focusing on the 100 most cited (TOP100) articles in the literature.
Design: Bibliometric Analysis Participants/Materials, Setting, Methods: The SCOPUS database was searched using the terms "endometriosis" and "infertility." The productivity and impact of research publications by authors, countries, and journals were assessed using the following indicators: total number of publications (TNP), total number of citations (TNC), JIF, and JCI. The bibliometric analysis was conducted from January 1, 2000, to December 31, 2023, using IBM SPSS™ for Windows and VOSviewer 1.6.20. VOSviewer was used to evaluate the TNC, total number of authors/co-authors, and collaboration network between countries of the TOP100 articles. VOSviewer was also used to create keyword co-occurrence networks.
Results: Of the TOP100 articles, 69 were literature review articles, with a mean of 448.97 + 513.5 citations (range: 191 to 2705). The TOP100 articles were published by 479 authors (mean 5.8 + 7.3 per study) from 40 countries in 39 high-impact journals. The keyword co-occurrence network revealed a grouping of four clusters, with terms related to pathophysiology, clinical management, assisted reproductive technology, and hormonal treatment of endometriosis.
Limitations: The main limitation of our study is the use of only one database and TNC as the main bibliometric indicator. Studies need at least 2 to 3 years after publication to accumulate sufficient citations for bibliometric indicators to be reliable. This means that large number of recent studies were not included in this bibliometric analysis.
Conclusions: This study revealed trends in endometriosis and infertility research, especially in the fields of immunology and genetics. It also highlights the importance of global collaboration to improve diagnostics, treatments and outcomes.
期刊介绍：
This journal covers the most active and promising areas of current research in gynecology and obstetrics. Invited, well-referenced reviews by noted experts keep readers in touch with the general framework and direction of international study. Original papers report selected experimental and clinical investigations in all fields related to gynecology, obstetrics and reproduction. Short communications are published to allow immediate discussion of new data. The international and interdisciplinary character of this periodical provides an avenue to less accessible sources and to worldwide research for investigators and practitioners.
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