School of Dentistry, University of Alabama at Birmingham, Birmingham, Alabama.
School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Clin Implant Dent Relat Res. 2020 Feb;22(1):54-58. doi: 10.1111/cid.12876. Epub 2019 Dec 12.
The influence of research has long been studied using citations and impact factors (IFs). Electronic media is changing how people interact with the scientific literature. There are few investigations into these trends.
To explore whether Altmetrics correlate with traditional bibliometrics in the Implantology literature.
Five Implantology journals with the highest IF and the 10 most highly-cited articles within those journals from 2013 to 2016 were reviewed. Altmetric score, citation count, and media "mentions" were recorded. Comparisons were conducted between Altmetric score, citations, and IF by performing Pearson correlation coefficients and descriptive statistics. Twitter accounts were studied and compared to other metrics.
Analysis revealed no correlation between citations and Altmetrics (r = .096,P = .506) or IF and Altmetrics (r = .111,P = .443) in 2013. Altmetrics were also not significantly correlated with citations (r = 0.148,P = .305) or IF (r = .145,P = .315) in 2016. Total Altmetric scores were nine times higher in 2016 compared to 2013, with news outlets and Twitter seeing large increases in mentions. Twitter was the top medium receiving mentions across the two cohorts.
Compared to other fields, Implantology articles received lower Altmetric scores, noting an area of improvement. Altmetrics at this time are insufficient to replace traditional bibliometrics, but may provide helpful real-time information concerning article dissemination.
研究的影响力一直以来都通过引用和影响因子(IF)进行研究。电子媒体正在改变人们与科学文献的互动方式。但对于这些趋势的研究却很少。
探索在种植学文献中,Altmetrics 是否与传统文献计量学相关。
对 IF 最高的 5 种种植学期刊以及这些期刊中 2013 年至 2016 年的 10 篇被引频次最高的文章进行了回顾。记录了 Altmetric 得分、引用计数和媒体“提及”。通过皮尔逊相关系数和描述性统计对 Altmetric 得分、引用和 IF 进行了比较。对 Twitter 账户进行了研究并与其他指标进行了比较。
分析表明,2013 年,引用与 Altmetrics 之间没有相关性(r = 0.096,P = 0.506),IF 与 Altmetrics 之间也没有相关性(r = 0.111,P = 0.443)。2016 年,Altmetrics 与引用(r = 0.148,P = 0.305)或 IF(r = 0.145,P = 0.315)之间也没有显著相关性。与 2013 年相比,2016 年的总 Altmetric 得分高出 9 倍,新闻媒体和 Twitter 的提及量大幅增加。在这两个队列中,Twitter 都是获得提及最多的媒体。
与其他领域相比,种植学文章的 Altmetric 得分较低,这表明该领域还有改进的空间。目前,Altmetrics 还不足以替代传统文献计量学,但可能会提供有关文章传播的有用实时信息。