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Big data analysis of endovascular treatment of intracranial aneurysms: a bibliometric analysis of the top 100 most cited articles

Background  The impact of a literature report on a particular subject can be measured by its number of citations. Objective  The purpose of this study was to evaluate the characteristics of the literature reports in the field of endovascular treatment of intracranial aneurysms (IAs) by analyzing the...

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Detalles Bibliográficos
Autores principales: Zhang, Shuai, Liu, Dong, Wang, Jiao, Lv, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Thieme Revinter Publicações Ltda. 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800165/
https://www.ncbi.nlm.nih.gov/pubmed/36580955
http://dx.doi.org/10.1055/s-0042-1758650
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author Zhang, Shuai
Liu, Dong
Wang, Jiao
Lv, Ming
author_facet Zhang, Shuai
Liu, Dong
Wang, Jiao
Lv, Ming
author_sort Zhang, Shuai
collection PubMed
description Background  The impact of a literature report on a particular subject can be measured by its number of citations. Objective  The purpose of this study was to evaluate the characteristics of the literature reports in the field of endovascular treatment of intracranial aneurysms (IAs) by analyzing the top 100 most cited articles. It should be noted that the focus of this study is to describe the bibliometric characteristics. Methods  This bibliometric analysis dedicated only to endovascular treatment of IAs in our study. We searched the top 100 most cited articles in the field of endovascular treatment of IAs using the search tool of the Web of Science (WOS). We evaluated the characteristics of these high-impact publications, including publication year, category, journal, author's country, etc. Results  The top 100 most cited articles were cited 281.3 times, on average. The United States has published the most articles every year compared with other countries. These highly cited articles are mostly published in the Journal of Neurosurgery. Eighty-six of the top 100 most cited articles were clinical studies. Conclusion  The bibliometric analysis provides insight over the development and the growing trend in endovascular treatment of IAs. This study can help researchers better understand the global overview of this field, and it also provides leads about promising areas of future research and potential collaborations.
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spelling pubmed-98001652023-01-09 Big data analysis of endovascular treatment of intracranial aneurysms: a bibliometric analysis of the top 100 most cited articles Zhang, Shuai Liu, Dong Wang, Jiao Lv, Ming Arq Neuropsiquiatr Background  The impact of a literature report on a particular subject can be measured by its number of citations. Objective  The purpose of this study was to evaluate the characteristics of the literature reports in the field of endovascular treatment of intracranial aneurysms (IAs) by analyzing the top 100 most cited articles. It should be noted that the focus of this study is to describe the bibliometric characteristics. Methods  This bibliometric analysis dedicated only to endovascular treatment of IAs in our study. We searched the top 100 most cited articles in the field of endovascular treatment of IAs using the search tool of the Web of Science (WOS). We evaluated the characteristics of these high-impact publications, including publication year, category, journal, author's country, etc. Results  The top 100 most cited articles were cited 281.3 times, on average. The United States has published the most articles every year compared with other countries. These highly cited articles are mostly published in the Journal of Neurosurgery. Eighty-six of the top 100 most cited articles were clinical studies. Conclusion  The bibliometric analysis provides insight over the development and the growing trend in endovascular treatment of IAs. This study can help researchers better understand the global overview of this field, and it also provides leads about promising areas of future research and potential collaborations. Thieme Revinter Publicações Ltda. 2022-12-29 /pmc/articles/PMC9800165/ /pubmed/36580955 http://dx.doi.org/10.1055/s-0042-1758650 Text en Academia Brasileira de Neurologia. This is an open access article published by Thieme under the terms of the Creative Commons Attribution 4.0 International License, permitting copying and reproduction so long as the original work is given appropriate credit ( https://creativecommons.org/licenses/by/4.0/ ) https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Zhang, Shuai
Liu, Dong
Wang, Jiao
Lv, Ming
Big data analysis of endovascular treatment of intracranial aneurysms: a bibliometric analysis of the top 100 most cited articles
title Big data analysis of endovascular treatment of intracranial aneurysms: a bibliometric analysis of the top 100 most cited articles
title_full Big data analysis of endovascular treatment of intracranial aneurysms: a bibliometric analysis of the top 100 most cited articles
title_fullStr Big data analysis of endovascular treatment of intracranial aneurysms: a bibliometric analysis of the top 100 most cited articles
title_full_unstemmed Big data analysis of endovascular treatment of intracranial aneurysms: a bibliometric analysis of the top 100 most cited articles
title_short Big data analysis of endovascular treatment of intracranial aneurysms: a bibliometric analysis of the top 100 most cited articles
title_sort big data analysis of endovascular treatment of intracranial aneurysms: a bibliometric analysis of the top 100 most cited articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800165/
https://www.ncbi.nlm.nih.gov/pubmed/36580955
http://dx.doi.org/10.1055/s-0042-1758650
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