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Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare Research
In order to explore the knowledge base, research hotspot, development status, and future research direction of healthcare research based on information theory and complex science, a total of 3031 literature data samples from the core collection of Web of Science from 2003 to 2019 were selected for b...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516411/ https://www.ncbi.nlm.nih.gov/pubmed/33285883 http://dx.doi.org/10.3390/e22010109 |
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author | Wang, Xiaoyu Zhao, Wang Wang, Yongzhong Zhao, Qin Yang, Xuejie Su, Kaixiang Gu, Dongxiao |
author_facet | Wang, Xiaoyu Zhao, Wang Wang, Yongzhong Zhao, Qin Yang, Xuejie Su, Kaixiang Gu, Dongxiao |
author_sort | Wang, Xiaoyu |
collection | PubMed |
description | In order to explore the knowledge base, research hotspot, development status, and future research direction of healthcare research based on information theory and complex science, a total of 3031 literature data samples from the core collection of Web of Science from 2003 to 2019 were selected for bibliometric analysis. HistCite, CiteSpace, Excel, and other analytical tools were used to deeply analyze and visualize the temporal distribution, spatial distribution, knowledge evolution, literature co-citation, and research hotspots of this field. This paper reveals the current development of healthcare research field based on information theory and science of complexity, analyzes and discusses the research hotspots and future development that trends in this field, and provides important knowledge support for researchers in this field for further relevant research. |
format | Online Article Text |
id | pubmed-7516411 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75164112020-11-09 Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare Research Wang, Xiaoyu Zhao, Wang Wang, Yongzhong Zhao, Qin Yang, Xuejie Su, Kaixiang Gu, Dongxiao Entropy (Basel) Article In order to explore the knowledge base, research hotspot, development status, and future research direction of healthcare research based on information theory and complex science, a total of 3031 literature data samples from the core collection of Web of Science from 2003 to 2019 were selected for bibliometric analysis. HistCite, CiteSpace, Excel, and other analytical tools were used to deeply analyze and visualize the temporal distribution, spatial distribution, knowledge evolution, literature co-citation, and research hotspots of this field. This paper reveals the current development of healthcare research field based on information theory and science of complexity, analyzes and discusses the research hotspots and future development that trends in this field, and provides important knowledge support for researchers in this field for further relevant research. MDPI 2020-01-16 /pmc/articles/PMC7516411/ /pubmed/33285883 http://dx.doi.org/10.3390/e22010109 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Xiaoyu Zhao, Wang Wang, Yongzhong Zhao, Qin Yang, Xuejie Su, Kaixiang Gu, Dongxiao Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare Research |
title | Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare Research |
title_full | Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare Research |
title_fullStr | Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare Research |
title_full_unstemmed | Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare Research |
title_short | Visual Analysis on Information Theory and Science of Complexity Approaches in Healthcare Research |
title_sort | visual analysis on information theory and science of complexity approaches in healthcare research |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516411/ https://www.ncbi.nlm.nih.gov/pubmed/33285883 http://dx.doi.org/10.3390/e22010109 |
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