A Machine-Learning-Based Bibliometric Analysis of the Scientific Literature on Anal Cancer

A Machine-Learning-Based Bibliometric Analysis of the Scientific Literature on Anal Cancer

Squamous-cell carcinoma of the anus (ASCC) is a rare disease. Barriers have been encountered to conduct clinical and translational research in this setting. Despite this, ASCC has been a prime example of collaboration amongst researchers. We performed a bibliometric analysis of ASCC-related literatu...

Full description

Bibliographic Details
Main Authors: Pierfrancesco Franco, Eva Segelov, Anders Johnsson, Rachel Riechelmann, Marianne G. Guren, Prajnan Das, Sheela Rao, Dirk Arnold, Karen-Lise Garm Spindler, Eric Deutsch, Marco Krengli, Vincenzo Tombolini, David Sebag-Montefiore, Francesca De Felice
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Cancers
Subjects:
anal cancer
squamous-cell carcinoma
HPV
HIV
radiotherapy
oncology
Online Access:https://www.mdpi.com/2072-6694/14/7/1697

Internet

https://www.mdpi.com/2072-6694/14/7/1697

Similar Items