An Altmetric Study of Artificial Intelligence in Medicine

Abstract

Artificial Intelligence (AI) and its powered technologies have been crucial for medical research and clinical practice [1]. While AI in medicine is a rapidly evolving field, this study provides a new perspective to review its related bodies of literature through a bibliometric analysis of Altmetric data. Altimetric is a system that tracks the attention that research outputs such as scholarly articles receive from different web sources (e.g. social media, mainstream news, blogs). Altmetric Explorer is an online platform that enables users to browse and report on citation-based attention metric data for a given scholarly output (including journal articles and dataset). The purpose of this study is to perform an Altmetric analysis to systematically study research trends on AI in medicine. The study identifies various aspects of research outputs on AI in medicine (mentions, attention scores, a timeline of mentions, a timeline of yearly publication, top journals, top research affiliations, and twitter demographics). These findings would be of interest to both researchers and practitioners in the field. In conclusion, research of AI in medicine has been attracting significant attention in the past 4-5 years and top journals and top research affiliations follow the trend of Bradford’s law and Lotka’s law.

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