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What Is the Predictive Ability and Academic Impact of the Altmetrics Score and Social Media Attention?
The American Journal of Sports Medicine ( IF 4.2 ) Pub Date : 2020-02-28 , DOI: 10.1177/0363546520903703
Kyle N Kunze 1 , Evan M Polce 1 , Amar Vadhera 1 , Brady T Williams 1 , Benedict U Nwachukwu 2 , Shane J Nho 1 , Jorge Chahla 1
Affiliation  

BACKGROUND Citation rate and journal impact factor have traditionally been used to assess research impact; however, these may fail to represent impact beyond the sphere of academics. Given that social media is now used to disseminate research, alternative web-based metrics (altmetrics) were recently developed to better understand research impact on social media. However, the relationship between altmetrics and traditional bibliometrics in orthopaedic literature is poorly understood. PURPOSE To (1) assess the extent that altmetrics correlate with traditional bibliometrics and (2) identify publication characteristics that predict greater altmetrics scores. STUDY DESIGN Cross-sectional study. METHODS Articles published in The American Journal of Sports Medicine (AJSM), The Journal of Bone and Joint Surgery, Clinical Orthopaedics and Related Research, Acta Orthopaedica, and Knee Surgery, Sports Traumatology, Arthroscopy between January 2016 and December 2016 were analyzed. Among the extracted publication characteristics were journal, number of authors, geographic region of origin, highest degree of first author, study subject and design, sample size, conflicts of interest, and level of evidence; number of references, institutions, citations, tweets, Facebook mentions, and news mentions; and Altmetric Attention Score (AAS). Multivariate regressions were used to determine (1) publication characteristics predictive of AAS and social media attention (mentions on Twitter, Facebook, and the news) and (2) the relationship between AAS and citation rate. RESULTS A total of 496 published articles were included, with a mean AAS of 8.6 (SD, 31.7; range, 0-501) and a mean citation rate of 15.0 (SD, 16.1; range, 0-178). Articles in AJSM (β = 19.9; P < .001), publications from North America (β = 8.5; P = .033), and studies concerning measure validation/reliability (β = 25.5; P = .004) were independently associated with higher AAS. Greater AAS score significantly predicted a greater citation rate (β = 0.16; P < .0001). The citation rate was an independent predictor of greater social media attention on Twitter, Facebook, and the news (odds ratio range, 1.02-1.03; P < .05 all). CONCLUSION AAS had a significant positive association with citation rates of articles in 5 high-impact orthopaedic journals. Articles in AJSM, studies concerning measure validation and reliability, and publications from North America were positively associated with greater AAS. A greater number of citations was consistently associated with publication attention received on social media platforms.

中文翻译:

测验得分和社交媒体关注度的预测能力和学术影响是什么?

背景技术引用率和期刊影响因子传统上一直用于评估研究影响。但是,这些可能无法代表超出学术领域的影响。鉴于现在使用社交媒体来传播研究,最近开发了基于Web的替代指标(替代指标),以更好地了解研究对社交媒体的影响。但是,人们对骨科文献中的高度计量学与传统文献计量学之间的关系了解甚少。目的(1)评估测高学与传统文献计量学相关的程度,以及(2)确定预测更高测高学分数的出版特征。研究设计横断面研究。方法在《美国运动医学杂志》(AJSM),《骨与关节外科杂志》,分析了2016年1月至2016年12月之间的临床骨科及相关研究,骨科学报以及膝关节手术,运动创伤学,关节镜检查。摘录的出版物特征包括期刊,作者人数,原产地域,第一作者的最高学位,研究主题和设计,样本量,利益冲突和证据水平;参考文献,机构,引文,推文,Facebook提及和新闻提及的数量;和高度注意力分数(AAS)。多变量回归用于确定(1)可以预测AAS和社交媒体关注度(在Twitter,Facebook和新闻上的提及)的出版特征,以及(2)AAS与引文率之间的关系。结果总共纳入496条发表的文章,平均AAS为8.6(标准差为31.7;范围为 0-501)和平均引文率为15.0(SD,16.1;范围,0-178)。AJSM中的文章(β= 19.9; P <.001),北美出版物(β= 8.5; P = .033)以及有关量度验证/可靠性的研究(β= 25.5; P = .004)与以下内容独立相关:更高的AAS。较高的AAS分数显着预测较高的引文率(β= 0.16; P <.0001)。引用率是Twitter,Facebook和新闻上社交媒体关注度提高的独立预测因子(赔率范围为1.02-1.03; P <0.05)。结论AAS与5种高影响力骨科杂志的文章引用率显着正相关。AJSM中的文章,有关量度验证和可靠性的研究以及北美的出版物与更高的AAS呈正相关。
更新日期:2020-04-03
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