Collins Christine S, Singh Nikhi P, Ananthasekar Shivani, Boyd Carter J, Brabston Eugene, King Timothy W
School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Hansjörg Wyss Department of Plastic Surgery, NYU Langone, New York.
J Surg Res. 2021 Dec;268:705-711. doi: 10.1016/j.jss.2021.07.025. Epub 2021 Sep 3.
Clinicians and medical researchers increasingly turn to nonformal online platforms to promote research. Altmetric Attention Score (AAS) is a quantitative measurement of online influence of research in real time. The objective of this study is to determine if AAS correlates with traditional bibliometrics in the orthopaedic literature.
From the 15 orthopaedic journals with the highest impact factor, the 10 most cited articles from each journal were reviewed for 2014 -2017. For each article, AAS was collected using the Altmetric Bookmarklet application and citation count from SCOPUS. Journal impact factor was recorded using Journal Citation Reports. Statistical analysis included Pearson's and Spearman's correlation coefficients.
A total of 600 articles were analyzed. A significant positive correlation was found between citation count and AAS for 2014 (r = 0.3188, p < 0.0001), and no correlation for 2015 (r = 0.1504, P = 0.0653), 2016 (r = 0.0087, P = 0.9157), and 2017 (r = 0.0061, P = 0.9408). There was no significant correlation between impact factor and AAS in 2014 (r = 0.4312, P = 0.1085), 2015 (r = 0.3850, P = 0.1565), 2016 (r = 0.1460, P = 0.6035) and 2017 (r = 0.0451 P = 0.8732).
AAS and traditional bibliometrics are currently not strongly correlated in orthopaedic literature. Citations take years to accumulate and AAS represents immediate influence of an article. An amalgamation of traditional bibliometrics and AAS may prove useful in determining the short- and long-term impact and influence of publications in orthopaedics.
临床医生和医学研究人员越来越多地转向非正规在线平台来推广研究。Altmetric关注度得分(AAS)是对研究在线影响力的实时定量衡量。本研究的目的是确定AAS与骨科文献中的传统文献计量学指标是否相关。
从15种影响因子最高的骨科期刊中,选取2014 - 2017年各期刊被引用次数最多的10篇文章进行分析。对于每篇文章,使用Altmetric书签应用程序收集AAS,并从SCOPUS获取引用次数。使用期刊引证报告记录期刊影响因子。统计分析包括Pearson和Spearman相关系数。
共分析了600篇文章。2014年引用次数与AAS之间存在显著正相关(r = 0.3188,p < 0.0001),2015年无相关性(r = 0.1504,P = 0.0653),2016年无相关性(r = 0.0087,P = 0.9157),2017年无相关性(r = 0.0061,P = 0.9408)。2014年影响因子与AAS之间无显著相关性(r = 0.4312,P = 0.1085),2015年无相关性(r = 0.3850,P = 0.1565),2016年无相关性(r = 0.1460,P = 0.6035),2017年无相关性(r = 0.0451,P = 0.8732)。
目前在骨科文献中,AAS与传统文献计量学指标之间的相关性不强。引用需要数年时间积累,而AAS代表文章的即时影响力。传统文献计量学指标与AAS相结合可能有助于确定骨科出版物的短期和长期影响及影响力。