Highly visible sepsis publications from 2012 to 2017: Analysis and comparison of altmetrics and bibliometrics

Purpose: We sought to delineate highly visible publications related to sepsis. Within these subsets, elements of altmetrics performance, including mentions on Twitter, and the correlation between altmetrics and conventional citation counts were ascertained. Materials and Methods: Three subsets of sepsis publications from 2012 to 2017 were synthesized by the overall Altmetric.com attention score, number of mentions by unique Twitter users, and conventional citation counts. For these subsets, geolocated Twitter activity was plotted on a choropleth, the lag between publication date and altmetrics mentions was characterized, and correlations were examined between altmetrics performance and normalized conventional citation counts. Results: Of 57,152 PubMed query results, Altmetric.com data was available for 28,344 (49.6%). The top 50 publications by Altmetric.com attention score and Twitter attention represented a mix of original research and other types of work, garnering attention from Twitter users in 143 countries that was highly contemporaneous with publication. Altmetrics performance and conventional citation counts were poorly correlated. Conclusions: While unreliable to gauge impact or future citation potential, altmetrics may be valuable for parties who wish to detect and drive public awareness of research findings and may enable researchers to dynamically explore the reach of their work in novel dimensions. •Mentions of publications in nontraditional outlets can be assessed via altmetrics.•Heavily cited and mentioned sepsis publications were markedly heterogeneous.•Within examined subsets, altmetrics and citation counts were poorly correlated.•Twitter user mentions of sepsis publications occurred worldwide.•Altmetrics hold promise to better characterize information dissemination.