Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph

Multiple studies have investigated bibliometric features and uncategorized scholarly documents for the influential scholarly document prediction task. In this paper, we describe our work that attempts to go beyond bibliometric metadata to predict influential scholarly documents. Furthermore, this wo...

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Detalles Bibliográficos
Autores principales: Rabby, Gollam, D’Souza, Jennifer, Oelen, Allard, Dvorackova, Lucie, Svátek, Vojtěch, Auer, Sören
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683290/
https://www.ncbi.nlm.nih.gov/pubmed/38017587
http://dx.doi.org/10.1186/s13326-023-00298-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683290/
https://www.ncbi.nlm.nih.gov/pubmed/38017587
http://dx.doi.org/10.1186/s13326-023-00298-4

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