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Scientometric analysis of post-stroke depression research based on CiteSpace
Post-stroke depression (PSD) has served as a severe and common complication leading to a higher level of mortality. Though various studies have been focused on PSD, limited research endeavor has been dedicated to bibliometric analysis in the past. In view of this, the current analysis serves to eluc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10158871/ https://www.ncbi.nlm.nih.gov/pubmed/37145004 http://dx.doi.org/10.1097/MD.0000000000033633 |
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author | Tang, Saixue Gao, Mingzhou Cheng, Xunshu Ji, Lijin |
author_facet | Tang, Saixue Gao, Mingzhou Cheng, Xunshu Ji, Lijin |
author_sort | Tang, Saixue |
collection | PubMed |
description | Post-stroke depression (PSD) has served as a severe and common complication leading to a higher level of mortality. Though various studies have been focused on PSD, limited research endeavor has been dedicated to bibliometric analysis in the past. In view of this, the current analysis serves to elucidate the latest status of global research and pinpoint the emerging area of interest for PSD, in order to support further investigation of the field. Publications related to PSD were retrieved from the Web of Science Core Collection database on September 24, 2022, and included in the bibliometric analysis. VOSviewer and CiteSpace software were used to visually analyze publication outputs, scientific cooperation, highly-cited references, and keywords to identify the current status and future trends in PSD research. A total of 533 publications were retrieved. The annual number of publications showed an increasing trend from 1999 to 2022. In terms of country and academic institution, the USA and Duke University have topped the list of PSD research respectively. Meanwhile, Robinson RG and Alexopoulos GS have been the most representative investigators of the field. In the past, researchers focused on the risk factors of PSD, late-life depression, and Alzheimer disease. In recent years, further research effort has been placed on meta-analysis, ischemic stroke, predictor, inflammation, mechanism, and mortality. In conclusion, in the past 20 years, PSD research has been progressing and gaining more attention. The bibliometric analysis successfully unveiled the field’s major contributing countries, institutions, and investigators. Furthermore, current hot spots and future trends in the field of PSD were identified, which included meta-analysis, ischemic stroke, predictor, inflammation, mechanism, and mortality. |
format | Online Article Text |
id | pubmed-10158871 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-101588712023-05-05 Scientometric analysis of post-stroke depression research based on CiteSpace Tang, Saixue Gao, Mingzhou Cheng, Xunshu Ji, Lijin Medicine (Baltimore) 5000 Post-stroke depression (PSD) has served as a severe and common complication leading to a higher level of mortality. Though various studies have been focused on PSD, limited research endeavor has been dedicated to bibliometric analysis in the past. In view of this, the current analysis serves to elucidate the latest status of global research and pinpoint the emerging area of interest for PSD, in order to support further investigation of the field. Publications related to PSD were retrieved from the Web of Science Core Collection database on September 24, 2022, and included in the bibliometric analysis. VOSviewer and CiteSpace software were used to visually analyze publication outputs, scientific cooperation, highly-cited references, and keywords to identify the current status and future trends in PSD research. A total of 533 publications were retrieved. The annual number of publications showed an increasing trend from 1999 to 2022. In terms of country and academic institution, the USA and Duke University have topped the list of PSD research respectively. Meanwhile, Robinson RG and Alexopoulos GS have been the most representative investigators of the field. In the past, researchers focused on the risk factors of PSD, late-life depression, and Alzheimer disease. In recent years, further research effort has been placed on meta-analysis, ischemic stroke, predictor, inflammation, mechanism, and mortality. In conclusion, in the past 20 years, PSD research has been progressing and gaining more attention. The bibliometric analysis successfully unveiled the field’s major contributing countries, institutions, and investigators. Furthermore, current hot spots and future trends in the field of PSD were identified, which included meta-analysis, ischemic stroke, predictor, inflammation, mechanism, and mortality. Lippincott Williams & Wilkins 2023-05-05 /pmc/articles/PMC10158871/ /pubmed/37145004 http://dx.doi.org/10.1097/MD.0000000000033633 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | 5000 Tang, Saixue Gao, Mingzhou Cheng, Xunshu Ji, Lijin Scientometric analysis of post-stroke depression research based on CiteSpace |
title | Scientometric analysis of post-stroke depression research based on CiteSpace |
title_full | Scientometric analysis of post-stroke depression research based on CiteSpace |
title_fullStr | Scientometric analysis of post-stroke depression research based on CiteSpace |
title_full_unstemmed | Scientometric analysis of post-stroke depression research based on CiteSpace |
title_short | Scientometric analysis of post-stroke depression research based on CiteSpace |
title_sort | scientometric analysis of post-stroke depression research based on citespace |
topic | 5000 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10158871/ https://www.ncbi.nlm.nih.gov/pubmed/37145004 http://dx.doi.org/10.1097/MD.0000000000033633 |
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