TY - JOUR
T1 - Predictors of High-Impact Articles in The Annals of Thoracic Surgery
AU - Luc, Jessica G.Y.
AU - Percy, Edward
AU - Hirji, Sameer
AU - Vervoort, Dominique
AU - Mann, Gurkiran K.
AU - Phan, Kevin
AU - Dibas, Mahmoud
AU - Vaduganathan, Muthiah
AU - Preventza, Ourania
AU - Antonoff, Mara B.
N1 - Funding Information:
Dr Vaduganathan is supported by the KL2/Catalyst Medical Research Investigator Training award from Harvard Catalyst ( National Institutes of Health / National Center for Advancing Translational Sciences Award UL 1TR002541) and serves on advisory boards for Amgen, AstraZeneca, Baxter Healthcare, Bayer AG, Boehringer Ingelheim, Cytokinetics, and Relypsa.
Publisher Copyright:
© 2020 The Society of Thoracic Surgeons
PY - 2020/12
Y1 - 2020/12
N2 - Background: Altmetric scores are increasingly used as nontraditional metrics of scholarly impact that capture article social media attention. This study aims to characterize articles from The Annals of Thoracic Surgery that achieved the greatest online reach over a longitudinal period. Methods: The 50 articles with the highest Altmetric scores published in The Annals of Thoracic Surgery for 2013, 2015, and 2017 were identified. Spearman rank correlation coefficient was used to assess the correlation of Altmetric scores with citations. Independent predictors of Altmetric scores (25 or greater) were identified through univariable and multivariable logistic regression analysis. Results: Over time, article Altmetric scores increased significantly (2013, 11.9; 2015, 24.8; and 2017, 75.3; P < .001); with more authors on Twitter in recent years to disseminate scholarly work (2013, 10%; 2015, 20%; and 2017, 42%; P < .001). Recent articles attracted greater attention from news outlets (2013, 1.02; 2015, 2.36; and 2017, 7.48; P < .001) and tweets (2013, 1.84; 2015, 6.68; and 2017, 27.8; P < .001), reaching a larger readership through Twitter (2013, 4210; 2015, 19,300; and 2017, 66,800; P < .001). Log-transformed Altmetric scores were correlated with log-transformed citations for articles published in 2017 (rs = 0.40; P = .02). On multivariable analysis, tweets (odds ratio = 1.27; 95% confidence interval, 1.01-1.61; P = .044) and mentions by news outlets (odds ratio = 30.49; 95% confidence interval, 4.03-230.16; P = .001) were predictive of high Altmetric scores. Conclusions: This longitudinal analysis demonstrates that social media attention related to top performing articles has increased in recent years. Social media is an effective tool to increase article reach and knowledge translation, with Altmetric scores that correlated with citations.
AB - Background: Altmetric scores are increasingly used as nontraditional metrics of scholarly impact that capture article social media attention. This study aims to characterize articles from The Annals of Thoracic Surgery that achieved the greatest online reach over a longitudinal period. Methods: The 50 articles with the highest Altmetric scores published in The Annals of Thoracic Surgery for 2013, 2015, and 2017 were identified. Spearman rank correlation coefficient was used to assess the correlation of Altmetric scores with citations. Independent predictors of Altmetric scores (25 or greater) were identified through univariable and multivariable logistic regression analysis. Results: Over time, article Altmetric scores increased significantly (2013, 11.9; 2015, 24.8; and 2017, 75.3; P < .001); with more authors on Twitter in recent years to disseminate scholarly work (2013, 10%; 2015, 20%; and 2017, 42%; P < .001). Recent articles attracted greater attention from news outlets (2013, 1.02; 2015, 2.36; and 2017, 7.48; P < .001) and tweets (2013, 1.84; 2015, 6.68; and 2017, 27.8; P < .001), reaching a larger readership through Twitter (2013, 4210; 2015, 19,300; and 2017, 66,800; P < .001). Log-transformed Altmetric scores were correlated with log-transformed citations for articles published in 2017 (rs = 0.40; P = .02). On multivariable analysis, tweets (odds ratio = 1.27; 95% confidence interval, 1.01-1.61; P = .044) and mentions by news outlets (odds ratio = 30.49; 95% confidence interval, 4.03-230.16; P = .001) were predictive of high Altmetric scores. Conclusions: This longitudinal analysis demonstrates that social media attention related to top performing articles has increased in recent years. Social media is an effective tool to increase article reach and knowledge translation, with Altmetric scores that correlated with citations.
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U2 - 10.1016/j.athoracsur.2020.04.102
DO - 10.1016/j.athoracsur.2020.04.102
M3 - Article
C2 - 32540436
AN - SCOPUS:85089443078
SN - 0003-4975
VL - 110
SP - 2096
EP - 2103
JO - Annals of Thoracic Surgery
JF - Annals of Thoracic Surgery
IS - 6
ER -