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Bibliometric Analysis of Health Technology Research: 1990~2020.
Luo, Xiaomei; Wu, Yuduo; Niu, Lina; Huang, Lucheng.
  • Luo X; College of Economics and Management, Beijing University of Technology, Beijing 100124, China.
  • Wu Y; College of Economics and Management, Beijing University of Technology, Beijing 100124, China.
  • Niu L; College of Economics and Management, Beijing University of Technology, Beijing 100124, China.
  • Huang L; College of Economics and Management, Beijing University of Technology, Beijing 100124, China.
Int J Environ Res Public Health ; 19(15)2022 07 25.
Article in English | MEDLINE | ID: covidwho-2005993
ABSTRACT
This paper aims to summarize the publishing trends, current status, research topics, and frontier evolution trends of health technology between 1990 and 2020 through various bibliometric analysis methods. In total, 6663 articles retrieved from the Web of Science core database were analyzed by Vosviewer and CiteSpace software. This paper found that (1) The number of publications in the field of health technology increased exponentially; (2) there is no stable core group of authors in this research field, and the influence of the publishing institutions and journals in China is insufficient compared with those in Europe and the United States; (3) there are 21 core research topics in the field of health technology research, and these research topics can be divided into four classes hot spots, potential hot spots, margin topics, and mature topics. C21 (COVID-19 prevention) and C10 (digital health technology) are currently two emerging research topics. (4) The number of research frontiers has increased in the past five years (2016-2020), and the research directions have become more diverse; rehabilitation, pregnancy, e-health, m-health, machine learning, and patient engagement are the six latest research frontiers.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Publications / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: North America Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph19159044

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Publications / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: North America Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph19159044