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Treatment in locally advanced rectal cancer: a machine learning bibliometric analysis
A bibliometric analysis was performed using a machine learning bibliometric methodology in order to evaluate the research trends in locally advanced rectal cancer treatment between 2000 and 2020. Information regarding publication outputs, countries, institutions, journals, keywords, funding, and cit...
Autores principales: | De Felice, Francesca, Crocetti, Daniele, Petrucciani, Niccolò, Belgioia, Liliana, Sapienza, Paolo, Bulzonetti, Nadia, Marampon, Francesco, Musio, Daniela, Tombolini, Vincenzo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521411/ https://www.ncbi.nlm.nih.gov/pubmed/34671421 http://dx.doi.org/10.1177/17562848211042170 |
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