Jessica G Y Luc1, Michael A Archer2, Rakesh C Arora3, Edward M Bender4, Arie Blitz5, David T Cooke6, Tamara Ni Hlci7, Biniam Kidane8, Maral Ouzounian9, Thomas K Varghese10, Mara B Antonoff11. 1. Division of Cardiovascular Surgery, Department of Surgery, University of British Columbia, Vancouver, British Columbia, Canada. 2. Division of Thoracic Surgery, Department of Surgery, SUNY-Upstate Medical University, Syracuse, New York. 3. Section of Cardiac Surgery, Department of Surgery, Max Rady College of Medicine, University of Manitoba, St Boniface Hospital, Winnipeg, Manitoba, Canada. 4. Department of Cardiothoracic Surgery, Stanford University, Palo Alto, California. 5. Division of Cardiac Surgery, University of Cincinnati Medical Center, Cincinnati, Ohio. 6. Section of General Thoracic Surgery, UC Davis Health, Sacramento, California. 7. Department of Cardiothoracic Surgery, Morriston Hospital, ABMU, Swansea, United Kingdom. 8. Section of Thoracic Surgery, Department of Surgery, University of Manitoba, Winnipeg, Manitoba, Canada. 9. Division of Cardiovascular Surgery, Peter Munk Cardiac Centre, Toronto General Hospital, University of Toronto, Toronto, Ontario, Canada. 10. Division of Cardiothoracic Surgery, Department of Surgery, University of Utah, Salt Lake City, Utah. 11. Department of Thoracic and Cardiovascular Surgery, MD Anderson Cancer Center, Houston, Texas. Electronic address: mbantonoff@mdanderson.org.
Abstract
BACKGROUND: The Thoracic Surgery Social Media Network (TSSMN) is a collaborative effort of leading journals in cardiothoracic surgery to highlight publications via social media. This study aims to evaluate the 1-year results of a prospective randomized social media trial to determine the effect of tweeting on subsequent citations and nontraditional bibliometrics. METHODS:A total of 112 representative original articles were randomized 1:1 to be tweeted via TSSMN or a control (non-tweeted) group. Measured endpoints included citations at 1 year compared with baseline, as well as article-level metrics (Altmetric score) and Twitter analytics. Independent predictors of citations were identified through univariable and multivariable regression analyses. RESULTS: When compared with control articles, tweeted articles achieved significantly greater increase in Altmetric scores (Tweeted 9.4 ± 5.8 vs Non-tweeted 1.0 ± 1.8, P < .001), Altmetric score percentiles relative to articles of similar age from each respective journal (Tweeted 76.0 ± 9.1 percentile vs Non-tweeted 13.8 ± 22.7 percentile, P < .001), with greater change in citations at 1 year (Tweeted +3.1 ± 2.4 vs Non-Tweeted +0.7 ± 1.3, P < .001). Multivariable analysis showed that independent predictors of citations were randomization to tweeting (odds ratio [OR] 9.50; 95% confidence interval [CI] 3.30-27.35, P < .001), Altmetric score (OR 1.32; 95% CI 1.15-1.50, P < .001), open-access status (OR 1.56; 95% CI 1.21-1.78, P < .001), and exposure to a larger number of Twitter followers as quantified by impressions (OR 1.30, 95% CI 1.10-1.49, P < .001). CONCLUSIONS: One-year follow-up of this TSSMN prospective randomized trial importantly demonstrates that tweeting results in significantly more article citations over time, highlighting the durable scholarly impact of social media activity.
RCT Entities:
BACKGROUND: The Thoracic Surgery Social Media Network (TSSMN) is a collaborative effort of leading journals in cardiothoracic surgery to highlight publications via social media. This study aims to evaluate the 1-year results of a prospective randomized social media trial to determine the effect of tweeting on subsequent citations and nontraditional bibliometrics. METHODS: A total of 112 representative original articles were randomized 1:1 to be tweeted via TSSMN or a control (non-tweeted) group. Measured endpoints included citations at 1 year compared with baseline, as well as article-level metrics (Altmetric score) and Twitter analytics. Independent predictors of citations were identified through univariable and multivariable regression analyses. RESULTS: When compared with control articles, tweeted articles achieved significantly greater increase in Altmetric scores (Tweeted 9.4 ± 5.8 vs Non-tweeted 1.0 ± 1.8, P < .001), Altmetric score percentiles relative to articles of similar age from each respective journal (Tweeted 76.0 ± 9.1 percentile vs Non-tweeted 13.8 ± 22.7 percentile, P < .001), with greater change in citations at 1 year (Tweeted +3.1 ± 2.4 vs Non-Tweeted +0.7 ± 1.3, P < .001). Multivariable analysis showed that independent predictors of citations were randomization to tweeting (odds ratio [OR] 9.50; 95% confidence interval [CI] 3.30-27.35, P < .001), Altmetric score (OR 1.32; 95% CI 1.15-1.50, P < .001), open-access status (OR 1.56; 95% CI 1.21-1.78, P < .001), and exposure to a larger number of Twitter followers as quantified by impressions (OR 1.30, 95% CI 1.10-1.49, P < .001). CONCLUSIONS: One-year follow-up of this TSSMN prospective randomized trial importantly demonstrates that tweeting results in significantly more article citations over time, highlighting the durable scholarly impact of social media activity.
Authors: Orsolya Vásárhelyi; Igor Zakhlebin; Staša Milojević; Emőke-Ágnes Horvát Journal: Proc Natl Acad Sci U S A Date: 2021-09-28 Impact factor: 11.205
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Authors: Andrew M Goldsweig; Benjamin Z Galper; Chadi Alraies; Suzanne V Arnold; Matthew Daniels; Davide Capodanno; Giuseppe Tarantini; David J Cohen; Herbert D Aronow Journal: Catheter Cardiovasc Interv Date: 2021-03-08 Impact factor: 2.585