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Exploring emerging IoT technologies in smart health research: a knowledge graph analysis
BACKGROUND: At present, Internet of Things technology has been widely used in various fields, and smart health is also one of its important application areas. METHODS: We use the core collection of Web of Science as a data source, using tools such as CiteSpace and bibliometric methods to visually an...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545882/ https://www.ncbi.nlm.nih.gov/pubmed/33032598 http://dx.doi.org/10.1186/s12911-020-01278-9 |
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author | Yang, Xuejie Wang, Xiaoyu Li, Xingguo Gu, Dongxiao Liang, Changyong Li, Kang Zhang, Gongrang Zhong, Jinhong |
author_facet | Yang, Xuejie Wang, Xiaoyu Li, Xingguo Gu, Dongxiao Liang, Changyong Li, Kang Zhang, Gongrang Zhong, Jinhong |
author_sort | Yang, Xuejie |
collection | PubMed |
description | BACKGROUND: At present, Internet of Things technology has been widely used in various fields, and smart health is also one of its important application areas. METHODS: We use the core collection of Web of Science as a data source, using tools such as CiteSpace and bibliometric methods to visually analyze 9561 articles published in the field of smart health research based on the Internet of things (IoT) in 2003–2019, including time distribution, spatial distribution, and literature co-citation analysis and keyword analysis. RESULTS: The field of smart health research based on IoT has developed rapidly since 2014, but has not yet formed a stable network of authors and institutions. In addition, the knowledge base in this field has been initially formed, and most of the published literatures are multi-theme research. CONCLUSIONS: This study discusses the research status, research hotspots and future development trends in this field, and provides important knowledge support for subsequent research. |
format | Online Article Text |
id | pubmed-7545882 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75458822020-10-13 Exploring emerging IoT technologies in smart health research: a knowledge graph analysis Yang, Xuejie Wang, Xiaoyu Li, Xingguo Gu, Dongxiao Liang, Changyong Li, Kang Zhang, Gongrang Zhong, Jinhong BMC Med Inform Decis Mak Research Article BACKGROUND: At present, Internet of Things technology has been widely used in various fields, and smart health is also one of its important application areas. METHODS: We use the core collection of Web of Science as a data source, using tools such as CiteSpace and bibliometric methods to visually analyze 9561 articles published in the field of smart health research based on the Internet of things (IoT) in 2003–2019, including time distribution, spatial distribution, and literature co-citation analysis and keyword analysis. RESULTS: The field of smart health research based on IoT has developed rapidly since 2014, but has not yet formed a stable network of authors and institutions. In addition, the knowledge base in this field has been initially formed, and most of the published literatures are multi-theme research. CONCLUSIONS: This study discusses the research status, research hotspots and future development trends in this field, and provides important knowledge support for subsequent research. BioMed Central 2020-10-08 /pmc/articles/PMC7545882/ /pubmed/33032598 http://dx.doi.org/10.1186/s12911-020-01278-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Yang, Xuejie Wang, Xiaoyu Li, Xingguo Gu, Dongxiao Liang, Changyong Li, Kang Zhang, Gongrang Zhong, Jinhong Exploring emerging IoT technologies in smart health research: a knowledge graph analysis |
title | Exploring emerging IoT technologies in smart health research: a knowledge graph analysis |
title_full | Exploring emerging IoT technologies in smart health research: a knowledge graph analysis |
title_fullStr | Exploring emerging IoT technologies in smart health research: a knowledge graph analysis |
title_full_unstemmed | Exploring emerging IoT technologies in smart health research: a knowledge graph analysis |
title_short | Exploring emerging IoT technologies in smart health research: a knowledge graph analysis |
title_sort | exploring emerging iot technologies in smart health research: a knowledge graph analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545882/ https://www.ncbi.nlm.nih.gov/pubmed/33032598 http://dx.doi.org/10.1186/s12911-020-01278-9 |
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