A Machine Learning Model to Predict Citation Counts of Scientific Papers in Otology Field

One of the most widely used measures of scientific impact is the number of citations. However, due to its heavy-tailed distribution, citations are fundamentally difficult to predict but can be improved. This study was aimed at investigating the factors and parts influencing the citation number of a...

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Detalles Bibliográficos
Autores principales: Alohali, Yousef A., Fayed, Mahmoud S., Mesallam, Tamer, Abdelsamad, Yassin, Almuhawas, Fida, Hagr, Abdulrahman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329008/
https://www.ncbi.nlm.nih.gov/pubmed/35909490
http://dx.doi.org/10.1155/2022/2239152

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329008/
https://www.ncbi.nlm.nih.gov/pubmed/35909490
http://dx.doi.org/10.1155/2022/2239152

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