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Implications of Twitter in Health-Related Research: A Landscape Analysis of the Scientific Literature

Background: Twitter, representing a big social media network, is broadly used for the communication of health-related information. In this work, we aimed to identify and analyze the scientific literature on Twitter use in context of health by utilizing a bibliometric approach, in order to obtain qua...

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Autores principales: Yeung, Andy Wai Kan, Kletecka-Pulker, Maria, Eibensteiner, Fabian, Plunger, Petra, Völkl-Kernstock, Sabine, Willschke, Harald, Atanasov, Atanas G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299201/
https://www.ncbi.nlm.nih.gov/pubmed/34307273
http://dx.doi.org/10.3389/fpubh.2021.654481
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author Yeung, Andy Wai Kan
Kletecka-Pulker, Maria
Eibensteiner, Fabian
Plunger, Petra
Völkl-Kernstock, Sabine
Willschke, Harald
Atanasov, Atanas G.
author_facet Yeung, Andy Wai Kan
Kletecka-Pulker, Maria
Eibensteiner, Fabian
Plunger, Petra
Völkl-Kernstock, Sabine
Willschke, Harald
Atanasov, Atanas G.
author_sort Yeung, Andy Wai Kan
collection PubMed
description Background: Twitter, representing a big social media network, is broadly used for the communication of health-related information. In this work, we aimed to identify and analyze the scientific literature on Twitter use in context of health by utilizing a bibliometric approach, in order to obtain quantitative information on dominant research topics, trending themes, key publications, scientific institutions, and prolific researchers who contributed to this scientific area. Methods: Web of Science electronic database was searched to identify relevant papers on Twitter and health. Basic bibliographic data was obtained utilizing the “Analyze” function of the database. Full records and cited references were exported to VOSviewer, a dedicated bibliometric software, for further analysis. A term map and a keyword map were synthesized to visualize recurring words within titles, abstracts and keywords. Results: The analysis was based on the data from 2,582 papers. The first papers were published in 2009, and the publication count increased rapidly since 2015. Original articles and reviews were published in a ratio of 10.6:1. The Journal of Medical Internet Research was the top journal, and the United States had contributions to over half (52%) of these publications, being the home-country of eight of the top ten most productive institutions. Keyword analysis identified six topically defined clusters, with professional education in healthcare being the top theme cluster (consisting of 66 keywords). The identified papers often investigated Twitter together with other social media, such as YouTube and Facebook. Conclusions: A great diversity of themes was found in the identified papers, including: professional education in healthcare, big data and sentiment analysis, social marketing and substance use, physical and emotional well-being of young adults, and public health and health communication. Our quantitative analysis outlines Twitter as both, an increasingly popular data source, and a highly versatile tool for health-related research.
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spelling pubmed-82992012021-07-24 Implications of Twitter in Health-Related Research: A Landscape Analysis of the Scientific Literature Yeung, Andy Wai Kan Kletecka-Pulker, Maria Eibensteiner, Fabian Plunger, Petra Völkl-Kernstock, Sabine Willschke, Harald Atanasov, Atanas G. Front Public Health Public Health Background: Twitter, representing a big social media network, is broadly used for the communication of health-related information. In this work, we aimed to identify and analyze the scientific literature on Twitter use in context of health by utilizing a bibliometric approach, in order to obtain quantitative information on dominant research topics, trending themes, key publications, scientific institutions, and prolific researchers who contributed to this scientific area. Methods: Web of Science electronic database was searched to identify relevant papers on Twitter and health. Basic bibliographic data was obtained utilizing the “Analyze” function of the database. Full records and cited references were exported to VOSviewer, a dedicated bibliometric software, for further analysis. A term map and a keyword map were synthesized to visualize recurring words within titles, abstracts and keywords. Results: The analysis was based on the data from 2,582 papers. The first papers were published in 2009, and the publication count increased rapidly since 2015. Original articles and reviews were published in a ratio of 10.6:1. The Journal of Medical Internet Research was the top journal, and the United States had contributions to over half (52%) of these publications, being the home-country of eight of the top ten most productive institutions. Keyword analysis identified six topically defined clusters, with professional education in healthcare being the top theme cluster (consisting of 66 keywords). The identified papers often investigated Twitter together with other social media, such as YouTube and Facebook. Conclusions: A great diversity of themes was found in the identified papers, including: professional education in healthcare, big data and sentiment analysis, social marketing and substance use, physical and emotional well-being of young adults, and public health and health communication. Our quantitative analysis outlines Twitter as both, an increasingly popular data source, and a highly versatile tool for health-related research. Frontiers Media S.A. 2021-07-09 /pmc/articles/PMC8299201/ /pubmed/34307273 http://dx.doi.org/10.3389/fpubh.2021.654481 Text en Copyright © 2021 Yeung, Kletecka-Pulker, Eibensteiner, Plunger, Völkl-Kernstock, Willschke and Atanasov. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Yeung, Andy Wai Kan
Kletecka-Pulker, Maria
Eibensteiner, Fabian
Plunger, Petra
Völkl-Kernstock, Sabine
Willschke, Harald
Atanasov, Atanas G.
Implications of Twitter in Health-Related Research: A Landscape Analysis of the Scientific Literature
title Implications of Twitter in Health-Related Research: A Landscape Analysis of the Scientific Literature
title_full Implications of Twitter in Health-Related Research: A Landscape Analysis of the Scientific Literature
title_fullStr Implications of Twitter in Health-Related Research: A Landscape Analysis of the Scientific Literature
title_full_unstemmed Implications of Twitter in Health-Related Research: A Landscape Analysis of the Scientific Literature
title_short Implications of Twitter in Health-Related Research: A Landscape Analysis of the Scientific Literature
title_sort implications of twitter in health-related research: a landscape analysis of the scientific literature
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299201/
https://www.ncbi.nlm.nih.gov/pubmed/34307273
http://dx.doi.org/10.3389/fpubh.2021.654481
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