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The recent 10-year landscape of aortic dissection research: a bibliometric analysis

BACKGROUND: We aimed to comprehensively analyze all the literature related to aortic dissection (AD) in the past decade using Web Scrapping technology from PubMed, revealing the research dynamics in this field. METHODS: Data were retrieved and downloaded from PubMed with search strategy as “(aortic...

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Detalles Bibliográficos
Autores principales: Wu, Jinlin, Zhao, Rui, Zhuang, Donglin, Zhu, Jiade, Zheng, Haiyun, Chen, Jimei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024840/
https://www.ncbi.nlm.nih.gov/pubmed/33841951
http://dx.doi.org/10.21037/jtd-20-3272
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author Wu, Jinlin
Zhao, Rui
Zhuang, Donglin
Zhu, Jiade
Zheng, Haiyun
Chen, Jimei
author_facet Wu, Jinlin
Zhao, Rui
Zhuang, Donglin
Zhu, Jiade
Zheng, Haiyun
Chen, Jimei
author_sort Wu, Jinlin
collection PubMed
description BACKGROUND: We aimed to comprehensively analyze all the literature related to aortic dissection (AD) in the past decade using Web Scrapping technology from PubMed, revealing the research dynamics in this field. METHODS: Data were retrieved and downloaded from PubMed with search strategy as “(aortic dissection [Title/Abstract]) AND (2010[EDAT]: 2020[EDAT])”. Information on the PMID, journal name, title, number of citations, publication year, authors, affiliations, abstract, study type, and keywords of the research was recorded. RESULTS: A total of 7,470 publications were identified. Most of the articles were published in J Thorac Cardiovasc Surg; Japan was the country with the largest publications number; the USA was far ahead of other countries regarding the highly cited studies; Yale University and Baylor College of Medicine took the first place for publishing most of the highly cited articles; the most frequently cited article is the 2014 ESC Guidelines on the diagnosis and treatment of aortic diseases; most of the clinical trials were published on J Vasc Surg; John A. Elefteriades ranked first by cumulative publication numbers; Christoph A. Nienaber took the lead by both cumulative citations and impact factors; Dianna M. Milewicz was the only female researcher on all the three ranking lists; the most common keywords in aortic dissection were Treatment Outcome and Retrospective Studies. CONCLUSIONS: This study provides interesting insights into the AD scientific landscape in recent 10 years and generates some objective evidence for comprehensive understanding and evaluation of this field. This investigation may ultimately inform managers, researchers and policymakers.
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spelling pubmed-80248402021-04-08 The recent 10-year landscape of aortic dissection research: a bibliometric analysis Wu, Jinlin Zhao, Rui Zhuang, Donglin Zhu, Jiade Zheng, Haiyun Chen, Jimei J Thorac Dis Original Article BACKGROUND: We aimed to comprehensively analyze all the literature related to aortic dissection (AD) in the past decade using Web Scrapping technology from PubMed, revealing the research dynamics in this field. METHODS: Data were retrieved and downloaded from PubMed with search strategy as “(aortic dissection [Title/Abstract]) AND (2010[EDAT]: 2020[EDAT])”. Information on the PMID, journal name, title, number of citations, publication year, authors, affiliations, abstract, study type, and keywords of the research was recorded. RESULTS: A total of 7,470 publications were identified. Most of the articles were published in J Thorac Cardiovasc Surg; Japan was the country with the largest publications number; the USA was far ahead of other countries regarding the highly cited studies; Yale University and Baylor College of Medicine took the first place for publishing most of the highly cited articles; the most frequently cited article is the 2014 ESC Guidelines on the diagnosis and treatment of aortic diseases; most of the clinical trials were published on J Vasc Surg; John A. Elefteriades ranked first by cumulative publication numbers; Christoph A. Nienaber took the lead by both cumulative citations and impact factors; Dianna M. Milewicz was the only female researcher on all the three ranking lists; the most common keywords in aortic dissection were Treatment Outcome and Retrospective Studies. CONCLUSIONS: This study provides interesting insights into the AD scientific landscape in recent 10 years and generates some objective evidence for comprehensive understanding and evaluation of this field. This investigation may ultimately inform managers, researchers and policymakers. AME Publishing Company 2021-03 /pmc/articles/PMC8024840/ /pubmed/33841951 http://dx.doi.org/10.21037/jtd-20-3272 Text en 2021 Journal of Thoracic Disease. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Wu, Jinlin
Zhao, Rui
Zhuang, Donglin
Zhu, Jiade
Zheng, Haiyun
Chen, Jimei
The recent 10-year landscape of aortic dissection research: a bibliometric analysis
title The recent 10-year landscape of aortic dissection research: a bibliometric analysis
title_full The recent 10-year landscape of aortic dissection research: a bibliometric analysis
title_fullStr The recent 10-year landscape of aortic dissection research: a bibliometric analysis
title_full_unstemmed The recent 10-year landscape of aortic dissection research: a bibliometric analysis
title_short The recent 10-year landscape of aortic dissection research: a bibliometric analysis
title_sort recent 10-year landscape of aortic dissection research: a bibliometric analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024840/
https://www.ncbi.nlm.nih.gov/pubmed/33841951
http://dx.doi.org/10.21037/jtd-20-3272
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