Predicting citation impact from altmetric attention in clinical and translational research: Do big splashes lead to ripple effects?

Abstract

Publications are commonly used to evaluate the productivity and impact of research programs. Traditional metrics examine publication impact through slowly accumulating academic citations. "Altmetrics" are a new way to describe early publication influence in nonacademic media/community spheres (news, tweets, and blogs). Articles with significant altmetric attention make a big splash of im-How to cite this article: Llewellyn NM, Nehl EJ. Predicting citation impact from altmetric attention in clinical and translational research: Do big splashes lead to ripple effects?

Translation in action: Influence, collaboration, and evolution of COVID‐19 research with Clinical and Translational Science Awards consortium support

“…According to this framework, “big splashes” encompass short‐term altmetric attention (news, blogs, and Twitter) and academic attention (peer faculty recommendations and reader downloads), whereas “ripple effects” encompass long‐term altmetric (policy documents, Wikipedia pages, and patent applications) and academic influence (total citations and RCR). This framework is well‐suited to the recency of this portfolio of publications with our understanding that papers often build influence over many years, even decades, post‐publication date; some metrics manifest relatively early and foreshadow longer‐term impact 43 . To illustrate a sample of highly influential research, we list portfolio articles with the 10 highest RCR scores (Table 2).…”

“…This framework is well‐suited to the recency of this portfolio of publications with our understanding that papers often build influence over many years, even decades, post‐publication date; some metrics manifest relatively early and foreshadow longer‐term impact. 43 To illustrate a sample of highly influential research, we list portfolio articles with the 10 highest RCR scores (Table 2 ).…”

Evaluating the impact of a CTSA program from 2008 to 2021 through bibliometrics, social network analysis, and altmetrics

“…The correlations between metrics of bibliometrics (i.e., citation counts, FWCI, CB, RCR), altmetrics (i.e., PlumX-Captures, Citations, Usages, Mentions, and Social media), and topic measures (i.e., STPP) were assessed by Spearman Rho correlation coefficients [29,30]. This study is the first CTSA evaluation that formally investigated these correlations using the data source provided by Scopus, contributing to the growing literature on this topic [46][47][48][49].…”

Evaluation of editors’ abilities to predict the citation potential of research manuscripts submitted to The BMJ : a cohort study

“…9 Although many studies have identified factors influencing citability, accurately predicting citation numbers has proved difficult. [10][11][12][13][14][15][16][17][18] Few studies have successfully used information available before publication for this purpose. 19 Recently machine learning techniques have been used to find patterns that predict citation count with some success.…”

“…Although many studies have identified factors influencing citability, accurately predicting citation numbers has proved difficult 101112131415161718. Few studies have successfully used information available before publication for this purpose 19.…”