Kunze Kyle N, Vadhera Amar S, Polce Evan M, Higuera Carlos A, Siddiqi Ahmed, Chahla Jorge, Piuzzi Nicolas S
Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, NY, USA.
Midwest Orthopaedics at Rush, Chicago, IL, USA.
HSS J. 2023 Feb;19(1):37-43. doi: 10.1177/15563316221115723. Epub 2022 Aug 9.
Given the increasing interest and potential use of social media for the promotion of orthopedic literature, there is a need to better understand Altmetrics. : We sought to determine the relationship between the Altmetric Attention Score (AAS) and the number of citations for articles on total joint arthroplasty (TJA) published in orthopedics journals. We also sought to determine the predictors of greater social media attention for these articles. : Articles on TJA published in , , , , , , and in 2016 were extracted ( 498). One-way analysis of variance with Bonferroni corrections was used to compare AAS and citations across journals. Multivariate regressions were used to determine predictors of social media attention and number of citations. : The mean AAS and number of citations were 7.5 (range: 0-289) and 16.7 (range: 0-156), respectively. Significant between-group effects were observed according to journal for AAS and number of citations. Publishing an article in was the strongest predictor of higher number of citations. Publishing an article in was the only independent predictor of higher AAS, while publishing an article in or trended toward statistical significance. A higher AAS was a significant predictor of a higher number of citations. Number of citations and number of study references were positive predictors of greater social media attention on Twitter and Facebook. : In articles on TJA published in 7 journals in 2016, a higher AAS was a associated with a higher number of citations. Various bibliometric characteristics were found to be significantly associated with greater social media attention; the most common influences were number of citations and number of references. Researchers in orthopedics can use this information when considering how to assess the impact of their work.
鉴于社交媒体在推广骨科文献方面的兴趣日益浓厚且具有潜在用途，有必要更好地了解替代计量学。：我们试图确定替代计量学关注度得分（AAS）与骨科期刊上发表的全关节置换术（TJA）文章的引用次数之间的关系。我们还试图确定这些文章在社交媒体上获得更多关注的预测因素。：提取了2016年发表在《》《》《》《》《》《》和《》上的关于TJA的文章（共498篇）。使用带有Bonferroni校正的单因素方差分析来比较各期刊的AAS和引用次数。多元回归用于确定社交媒体关注度和引用次数的预测因素。：AAS的平均值和引用次数分别为7.5（范围：0 - 289）和16.7（范围：0 - 156）。根据期刊观察到AAS和引用次数在组间存在显著效应。在《》上发表文章是引用次数较高的最强预测因素。在《》上发表文章是AAS较高的唯一独立预测因素，而在《》或《》上发表文章有趋于统计学显著性的趋势。较高的AAS是较高引用次数的显著预测因素。引用次数和研究参考文献数量是在Twitter和Facebook上获得更多社交媒体关注的积极预测因素。：在2016年发表于7种期刊的关于TJA的文章中，较高的AAS与较高的引用次数相关。发现各种文献计量学特征与更多的社交媒体关注显著相关；最常见的影响因素是引用次数和参考文献数量。骨科研究人员在考虑如何评估其工作的影响时可以利用这些信息。
