The 100 Most-Cited Articles in COVID-19 Vaccine Hesitancy Based on Web of Science: A Bibliometric Analysis

PURPOSE: To perform a bibliometric analysis of the 100 most-cited articles (T100 articles) on COVID-19 vaccine hesitancy to characterize current trends. METHODS: The data of the bibliometric analysis were retrieved from the Web of Science Core Collection (WoSCC) database on January 29, 2023, and the...

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Detalles Bibliográficos
Autores principales: Liu, Bo, You, Junjie, Huang, Lingyi, Chen, Mengling, Shen, Yushan, Xiong, Longyu, Zheng, Silin, Huang, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163891/
https://www.ncbi.nlm.nih.gov/pubmed/37159828
http://dx.doi.org/10.2147/IDR.S408377

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163891/
https://www.ncbi.nlm.nih.gov/pubmed/37159828
http://dx.doi.org/10.2147/IDR.S408377

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