expert leaders and trustful conduits of information in the virtual field is proving crucial. The
aim of this study was to identify and describe the most prominent and influential figures and
organizational accounts to follow in radiology. Methods Influence scores for the topic
“radiology” on Twitter (now known as X) were computed using the Right Relevance machine
learning service. Top influencers were classified according to gender, geography, physician …