Comparing alternative and traditional dissemination metrics in medical education

A healthcare social media research article published in Medical Education, July 17, 2017

Title
Comparing alternative and traditional dissemination metrics in medical education
Authors (alpha)
Aysah Amath, Christopher J Ramnanan, John J Leddy, Kristin Ambacher, Timothy J Wood
Published
July 17, 2017
Journal
Medical Education
Impact Factor
4.005
DOI
10.1111/medu.13359
Pubmed
28719136
Altmetric
A healthcare social media research article published in Medical Education, July 17, 2017

Abstract

The impact of academic scholarship has traditionally been measured using citation-based metrics. However, citations may not be the only measure of impact. In recent years, other platforms (e.g. Twitter) have provided new tools for promoting scholarship to both academic and non-academic audiences. Alternative metrics (altmetrics) can capture non-traditional dissemination data such as attention generated on social media platforms. The aims of this exploratory study were to characterise the relationships among altmetrics, access counts and citations in an international and pre-eminent medical education journal, and to clarify the roles of these metrics in assessing the impact of medical education academic scholarship. A database study was performed (September 2015) for all papers published in Medical Education in 2012 (n = 236) and 2013 (n = 246). Citation, altmetric and access (HTML views and PDF downloads) data were obtained from Scopus, the Altmetric Bookmarklet tool and the journal Medical Education, respectively. Pearson coefficients (r-values) between metrics of interest were then determined. Twitter and Mendeley (an academic bibliography tool) were the only altmetric-tracked platforms frequently (> 50%) utilised in the dissemination of articles. Altmetric scores (composite measures of all online attention) were driven by Twitter mentions. For short and full-length articles in 2012 and 2013, both access counts and citation counts were most strongly correlated with one another, as well as with Mendeley downloads. By comparison, Twitter metrics and altmetric scores demonstrated weak to moderate correlations with both access and citation counts. Whereas most altmetrics showed limited correlations with readership (access counts) and impact (citations), Mendeley downloads correlated strongly with both readership and impact indices for articles published in the journal Medical Education and may therefore have potential use that is complementary to that of citations in assessment of the impact of medical education scholarship.


Symplur Signals for Academic Research

Symplur Signals provides researchers with a simple research interface, rich datasets, powerful filtering, and algorithms with natural language processing capabilities optimized for our context of healthcare. Get access to up to 7 years of history from this trusted academic research platform.

Subscribe Now

Healthcare Social Media Research

See the full list of healthcare social media research articles with data from or reference to Symplur.
#hcsmR is a collaboration between Stanford Medicine X and Symplur.


Altmetric

The Altmetric Attention Score is based on the attention a research article gets on the internet. Each coloured thread in the circle represents a different type of online attention and the number in the centre is the Altmetric Attention Score. The score is calculated based on two main sources of online attention: social media and mainstream news media.