Research trends and hotspots on connectomes from 2005 to 2021: A bibliometric and latent Dirichlet allocation application study

BACKGROUND: This study aimed to conduct a bibliometric analysis of publications on connectomes and illustrate its trends and hotspots using a machine-learning-based text mining algorithm. METHODS: Documents were retrieved from the Web of Science Core Collection (WoSCC) and Scopus databases and analy...

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Detalles Bibliográficos
Autores principales: Yan, Yangye, Fan, Guoxin, Liao, Xiang, Zhao, Xudong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814013/
https://www.ncbi.nlm.nih.gov/pubmed/36620450
http://dx.doi.org/10.3389/fnins.2022.1046562

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814013/
https://www.ncbi.nlm.nih.gov/pubmed/36620450
http://dx.doi.org/10.3389/fnins.2022.1046562

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