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A Bibliometric Analysis of Crowdsourcing in the Field of Public Health
With the characteristics of low cost and open call, crowdsourcing has been widely adopted in many fields, particularly to support the use of surveys, data processing, and the monitoring of public health. The objective of the current study is to analyze the applications, hotspots, and emerging trends...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843338/ https://www.ncbi.nlm.nih.gov/pubmed/31658763 http://dx.doi.org/10.3390/ijerph16203825 |
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author | Wang, Lingling Xia, Enjun Li, Hao Wang, Wei |
author_facet | Wang, Lingling Xia, Enjun Li, Hao Wang, Wei |
author_sort | Wang, Lingling |
collection | PubMed |
description | With the characteristics of low cost and open call, crowdsourcing has been widely adopted in many fields, particularly to support the use of surveys, data processing, and the monitoring of public health. The objective of the current study is to analyze the applications, hotspots, and emerging trends of crowdsourcing in the field of public health. Using CiteSpace for the visualization of scientific maps, this study explores the analysis of time-scope, countries and institutions, authors, published journals, keywords, co-references, and citation clusters. The results show that the United States is the country with the most publications regarding crowdsourcing applications for public health. Howe and Brabham are the two leading authors in this field. Further, most of the articles published in this field are found in medical and comprehensive journals. Crowdsourcing in public health is increasing and diversifying. The results of this study will enable and support the analysis of the specific role of crowdsourcing in the public health ecosystem. |
format | Online Article Text |
id | pubmed-6843338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68433382019-11-25 A Bibliometric Analysis of Crowdsourcing in the Field of Public Health Wang, Lingling Xia, Enjun Li, Hao Wang, Wei Int J Environ Res Public Health Article With the characteristics of low cost and open call, crowdsourcing has been widely adopted in many fields, particularly to support the use of surveys, data processing, and the monitoring of public health. The objective of the current study is to analyze the applications, hotspots, and emerging trends of crowdsourcing in the field of public health. Using CiteSpace for the visualization of scientific maps, this study explores the analysis of time-scope, countries and institutions, authors, published journals, keywords, co-references, and citation clusters. The results show that the United States is the country with the most publications regarding crowdsourcing applications for public health. Howe and Brabham are the two leading authors in this field. Further, most of the articles published in this field are found in medical and comprehensive journals. Crowdsourcing in public health is increasing and diversifying. The results of this study will enable and support the analysis of the specific role of crowdsourcing in the public health ecosystem. MDPI 2019-10-10 2019-10 /pmc/articles/PMC6843338/ /pubmed/31658763 http://dx.doi.org/10.3390/ijerph16203825 Text en © 2019 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, Lingling Xia, Enjun Li, Hao Wang, Wei A Bibliometric Analysis of Crowdsourcing in the Field of Public Health |
title | A Bibliometric Analysis of Crowdsourcing in the Field of Public Health |
title_full | A Bibliometric Analysis of Crowdsourcing in the Field of Public Health |
title_fullStr | A Bibliometric Analysis of Crowdsourcing in the Field of Public Health |
title_full_unstemmed | A Bibliometric Analysis of Crowdsourcing in the Field of Public Health |
title_short | A Bibliometric Analysis of Crowdsourcing in the Field of Public Health |
title_sort | bibliometric analysis of crowdsourcing in the field of public health |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843338/ https://www.ncbi.nlm.nih.gov/pubmed/31658763 http://dx.doi.org/10.3390/ijerph16203825 |
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