Most notable 100 articles of COVID-19: an Altmetric study based on bibliometric analysis

OBJECTIVE: The purpose of this study is to guide researchers in the COVID-19 pandemic by evaluating the 100 most cited articles of COVID-19 in terms of bibliometric analysis, Altmetric scores, and dimension badges. METHODS: “COVID-19” was entered as the search term in Thomson Reuter’s Web of Science...

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Detalles Bibliográficos
Autores principales: Borku Uysal, Betul, Islamoglu, Mehmet Sami, Koc, Suna, Karadag, Mehmet, Dokur, Mehmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7811952/
https://www.ncbi.nlm.nih.gov/pubmed/33459942
http://dx.doi.org/10.1007/s11845-020-02460-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7811952/
https://www.ncbi.nlm.nih.gov/pubmed/33459942
http://dx.doi.org/10.1007/s11845-020-02460-8

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