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Global COVID-19 Policy Engagement With Scientific Research Information: Altmetric Data Study

BACKGROUND: Previous studies on COVID-19 scholarly articles have primarily focused on bibliometric characteristics, neglecting the identification of institutional actors that cite recent scientific contributions related to COVID-19 in the policy domain, and their locations. OBJECTIVE: The purpose of...

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Detalles Bibliográficos
Autores principales: Park, Han Woo, Yoon, Ho Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365591/
https://www.ncbi.nlm.nih.gov/pubmed/37384384
http://dx.doi.org/10.2196/46328
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author Park, Han Woo
Yoon, Ho Young
author_facet Park, Han Woo
Yoon, Ho Young
author_sort Park, Han Woo
collection PubMed
description BACKGROUND: Previous studies on COVID-19 scholarly articles have primarily focused on bibliometric characteristics, neglecting the identification of institutional actors that cite recent scientific contributions related to COVID-19 in the policy domain, and their locations. OBJECTIVE: The purpose of this study was to assess the online citation network and knowledge structure of COVID-19 research across policy domains over 2 years from January 2020 to January 2022, with a particular emphasis on geographical frequency. Two research questions were addressed. The first question was related to who has been the most active in policy engagement with science and research information sharing during the COVID-19 pandemic, particularly in terms of countries and organization types. The second question was related to whether there are significant differences in the types of coronavirus research shared among countries and continents. METHODS: The Altmetric database was used to collect policy report citations of scientific articles for 3 topic terms (COVID-19, COVID-19 vaccine, and COVID-19 variants). Altmetric provides the URLs of policy agencies that have cited COVID-19 research. The scientific articles used for Altmetric citations are extracted from journals indexed by PubMed. The numbers of COVID-19, COVID-19 vaccine, and COVID-19 variant research outputs between January 1, 2020, and January 31, 2022, were 216,787, 16,748, and 2777, respectively. The study examined the frequency of citations based on policy institutional domains, such as intergovernmental organizations, national and domestic governmental organizations, and nongovernmental organizations (think tanks and academic institutions). RESULTS: The World Health Organization (WHO) stood out as the most notable institution citing COVID-19–related research outputs. The WHO actively sought and disseminated information regarding the COVID-19 pandemic. The COVID-19 vaccine citation network exhibited the most extensive connections in terms of degree centrality, 2-local eigenvector centrality, and eigenvector centrality among the 3 key terms. The Netherlands, the United States, the United Kingdom, and Australia were the countries that sought and shared the most information on COVID-19 vaccines, likely due to their high numbers of COVID-19 cases. Developing nations, although gaining quicker access to COVID-19 vaccine information, appeared to be relatively isolated from the enriched COVID-19 pandemic content in the global network. CONCLUSIONS: The global scientific network ecology during the COVID-19 pandemic revealed distinct types of links primarily centered around the WHO. Western countries demonstrated effective networking practices in constructing these networks. The prominent position of the key term “COVID-19 vaccine” demonstrates that nation-states align with global authority regardless of their national contexts. In summary, the citation networking practices of policy agencies have the potential to uncover the global knowledge distribution structure as a proxy for the networking strategy employed during a pandemic.
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spelling pubmed-103655912023-07-25 Global COVID-19 Policy Engagement With Scientific Research Information: Altmetric Data Study Park, Han Woo Yoon, Ho Young J Med Internet Res Original Paper BACKGROUND: Previous studies on COVID-19 scholarly articles have primarily focused on bibliometric characteristics, neglecting the identification of institutional actors that cite recent scientific contributions related to COVID-19 in the policy domain, and their locations. OBJECTIVE: The purpose of this study was to assess the online citation network and knowledge structure of COVID-19 research across policy domains over 2 years from January 2020 to January 2022, with a particular emphasis on geographical frequency. Two research questions were addressed. The first question was related to who has been the most active in policy engagement with science and research information sharing during the COVID-19 pandemic, particularly in terms of countries and organization types. The second question was related to whether there are significant differences in the types of coronavirus research shared among countries and continents. METHODS: The Altmetric database was used to collect policy report citations of scientific articles for 3 topic terms (COVID-19, COVID-19 vaccine, and COVID-19 variants). Altmetric provides the URLs of policy agencies that have cited COVID-19 research. The scientific articles used for Altmetric citations are extracted from journals indexed by PubMed. The numbers of COVID-19, COVID-19 vaccine, and COVID-19 variant research outputs between January 1, 2020, and January 31, 2022, were 216,787, 16,748, and 2777, respectively. The study examined the frequency of citations based on policy institutional domains, such as intergovernmental organizations, national and domestic governmental organizations, and nongovernmental organizations (think tanks and academic institutions). RESULTS: The World Health Organization (WHO) stood out as the most notable institution citing COVID-19–related research outputs. The WHO actively sought and disseminated information regarding the COVID-19 pandemic. The COVID-19 vaccine citation network exhibited the most extensive connections in terms of degree centrality, 2-local eigenvector centrality, and eigenvector centrality among the 3 key terms. The Netherlands, the United States, the United Kingdom, and Australia were the countries that sought and shared the most information on COVID-19 vaccines, likely due to their high numbers of COVID-19 cases. Developing nations, although gaining quicker access to COVID-19 vaccine information, appeared to be relatively isolated from the enriched COVID-19 pandemic content in the global network. CONCLUSIONS: The global scientific network ecology during the COVID-19 pandemic revealed distinct types of links primarily centered around the WHO. Western countries demonstrated effective networking practices in constructing these networks. The prominent position of the key term “COVID-19 vaccine” demonstrates that nation-states align with global authority regardless of their national contexts. In summary, the citation networking practices of policy agencies have the potential to uncover the global knowledge distribution structure as a proxy for the networking strategy employed during a pandemic. JMIR Publications 2023-06-29 /pmc/articles/PMC10365591/ /pubmed/37384384 http://dx.doi.org/10.2196/46328 Text en ©Han Woo Park, Ho Young Yoon. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 29.06.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Park, Han Woo
Yoon, Ho Young
Global COVID-19 Policy Engagement With Scientific Research Information: Altmetric Data Study
title Global COVID-19 Policy Engagement With Scientific Research Information: Altmetric Data Study
title_full Global COVID-19 Policy Engagement With Scientific Research Information: Altmetric Data Study
title_fullStr Global COVID-19 Policy Engagement With Scientific Research Information: Altmetric Data Study
title_full_unstemmed Global COVID-19 Policy Engagement With Scientific Research Information: Altmetric Data Study
title_short Global COVID-19 Policy Engagement With Scientific Research Information: Altmetric Data Study
title_sort global covid-19 policy engagement with scientific research information: altmetric data study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365591/
https://www.ncbi.nlm.nih.gov/pubmed/37384384
http://dx.doi.org/10.2196/46328
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