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altmetrics 分数和社交媒体关注度的预测能力和学术影响力如何?

What Is the Predictive Ability and Academic Impact of the Altmetrics Score and Social Media Attention?

机构信息

Division of Sports Medicine, Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois, USA.

Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York, USA.

出版信息

Am J Sports Med. 2020 Apr;48(5):1056-1062. doi: 10.1177/0363546520903703. Epub 2020 Feb 28.

Abstract

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 (), , and 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 (β = 19.9; < .001), publications from North America (β = 8.5; = .033), and studies concerning measure validation/reliability (β = 25.5; = .004) were independently associated with higher AAS. Greater AAS score significantly predicted a greater citation rate (β = 0.16; < .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; < .05 all).

CONCLUSION

AAS had a significant positive association with citation rates of articles in 5 high-impact orthopaedic journals. Articles in , 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.

摘要

背景

引文率和期刊影响因子一直被用于评估研究的影响力;然而,这些指标可能无法反映学术领域之外的影响力。鉴于社交媒体现在被用于传播研究,最近开发了替代的网络计量指标(altmetrics)来更好地理解社交媒体上的研究影响力。然而,在骨科文献中,altmetrics 与传统文献计量学之间的关系还不太清楚。

目的

(1)评估 altmetrics 与传统文献计量学的相关程度,(2)确定预测更高 altmetrics 分数的出版特征。

研究设计

横断面研究。

方法

分析了 2016 年 1 月至 2016 年 12 月期间发表在《矫形外科杂志》(The Journal of Bone & Joint Surgery)、《柳叶刀》(The Lancet)和《新英格兰医学杂志》(The New England Journal of Medicine)上的文章。提取的出版特征包括期刊、作者数量、原籍地理区域、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;引用数量、机构、引文、推文、Facebook 提及和新闻提及;以及 Altmetric 关注度得分(AAS)。使用多元回归来确定(1)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,(2)AAS 与引文率之间的关系。

结果

共纳入 496 篇发表文章,平均 AAS 为 8.6(标准差,31.7;范围,0-501),平均引文率为 15.0(标准差,16.1;范围,0-178)。发表在《矫形外科杂志》(β=19.9;<0.001)、来自北美的出版物(β=8.5;=0.033)和研究测量验证/可靠性的文章(β=25.5;=0.004)与更高的 AAS 独立相关。更高的 AAS 分数显著预测了更高的引文率(β=0.16;<0.0001)。引文率是在 Twitter、Facebook 和新闻上获得更多社交媒体关注度的独立预测因子(优势比范围,1.02-1.03;<0.05 全部)。

结论

AAS 与 5 种高影响力矫形外科期刊上的文章引文率呈显著正相关。发表在《矫形外科杂志》(The Journal of Bone & Joint Surgery)上的文章、研究测量验证和可靠性的文章,以及来自北美的出版物与更高的 AAS 呈正相关。更多的引文与在社交媒体平台上获得的出版物关注度始终相关。

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