Sentiment analysis of research attention: the Altmetric proof of concept.

ABSTRACT: Traditional bibliometric approaches to research impact assessment have predominantly relied on citation counts, overlooking the qualitative dimensions of how research is received and discussed. Altmetrics have expanded this perspective by capturing mentions across diverse platforms, yet most analyses remain limited to quantitative measures, failing to account for sentiment. This study aimed to introduce a novel artificial intelligence-driven sentiment analysis framework designed to evaluate the tone and intent behind research mentions on social media, with a primary focus on X (formerly Twitter). Our approach leverages a bespoke sentiment classification system, spanning seven levels from strong negative to strong positive, to capture the nuanced ways in which research is endorsed, critique

SUBMITTER: Areia C 

PROVIDER: S-EPMC12615389 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature