To Tweet or Not to Tweet, That is the Question: A Randomized Trial of Twitter Effects on Article Engagement in Medical Education
Abstract
Many medical education journals use Twitter to garner attention for their articles. The purpose of this study was to test the effects of tweeting on article page views and downloads.\n\nThe authors conducted a randomized trial using Academic Medicine articles published in 2015. Beginning in February through May 2018, one article per day was randomly assigned to a Twitter (case) or control group. Daily, an individual tweet was generated for each article in the Twitter group that included the title, #MedEd, and a link to the article. The link delivered users to the articles landing page, which included immediate access to the HTML full text and a PDF link. The authors extracted HTML page views and PDF downloads from the publisher. To assess differences in page views and downloads between cases and controls, a time-centered approach was used, with outcomes measured at 1, 7, and 30 days.\n\nIn total, 189 articles (94 cases, 95 controls) were analyzed. After days 1 and 7, there were no statistically significant differences between cases and controls on any metric. On day 30, HTML page views exhibited a 63% increase for cases (M=14.72, SD=63.68) when compared to controls (M=9.01, SD=14.34; incident rate ratio=1.63, p=0.01). There were no differences between cases and controls for PDF downloads on day 30.\n\nContrary to the authors hypothesis, only one statistically significant difference in page views between the Twitter and control groups was found. These findings provide preliminary evidence that after 30 days a tweet can have a small positive effect on article page views.
02 /Specification & Classification
Click any tag to browse matching papers- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Controlled experiment finds no detectable citation bump from Twitter promotion
T. Branch, I. M. C?te, … A. L. Wild·bioRxiv·Sep 17, 2023
- Reader Engagement with Wikipedia’s Medical Content
L. Maggio, R. M. Steinberg, … J. M. Willinsky·bioRxiv·Oct 18, 2019
- Social media at metabolic meetings: who is tweeting what and for whom?
J. H. Nurse·bioRxiv·Aug 16, 2022
- Unlocking the microblogging potential for science and medicine
- Exploring the relationship between altmetrics and traditional measures of dissemination in health professions education
L. A. Maggio, T. Leroux, … A. R. Artino·bioRxiv·Feb 13, 2018
- Second-order Citations in Altmetrics: A Case Study Analyzing the Audiences of COVID-19 Research in the News and on Social Media
J. P. Alperin, A. Fleerackers, … S. Haustein·bioRxiv·Apr 5, 2023