Warren Victor T, Patel Bhumika, Boyd Carter J
Resident, Department of Oral and Maxillofacial Surgery, University of Alabama at Birmingham, Birmingham, AL.
Dental Student, School of Dentistry, University of Alabama at Birmingham, Birmingham, AL.
J Oral Maxillofac Surg. 2020 Sep;78(9):1460.e1-1460.e7. doi: 10.1016/j.joms.2020.03.043. Epub 2020 Apr 13.
We explored whether Altmetric scores (London, UK) correlate with traditional bibliometrics in the oral and maxillofacial surgery (OMS) literature.
This study analyzed the 7 OMS journals with the highest impact factors (IFs) and the 20 most-cited articles within those journals from 2013 and 2016. Citations, Altmetric scores, and media "mentions" were studied. Correlations between Altmetric scores, citations, and IF were examined using Pearson correlation coefficients and descriptive statistics. Twitter account data (San Francisco, CA) also were compared with other metrics.
There was no correlation between citations and Altmetric scores (r = 0.146, P = .087) or between IF and Altmetric scores (r = 0.139, P = .100) in 2013. Altmetric scores also were not significantly correlated with citations (r = 0.116, P = .176) or IF (r = 0.104, P = .225) in 2016. Total Altmetric scores were 2.5 times higher in 2016 than in 2013, with news outlets, Facebook (Menlo Park, CA), and Twitter showing 257%, 243%, and 307% increases in mentions, respectively.
Compared with articles in other fields, OMS articles accrued lower Altmetric scores, representing a paucity of attention garnered on social media outlets. Altmetric scores are currently insufficient to replace traditional bibliometrics but can provide valuable information on public acquisition of knowledge, especially in the immediate post-publication interval.
我们探讨了Altmetric评分（英国伦敦）与口腔颌面外科（OMS）文献中的传统文献计量学指标之间是否存在相关性。
本研究分析了2013年至2016年影响因子（IF）最高的7种OMS期刊以及这些期刊中被引用次数最多的20篇文章。对引用次数、Altmetric评分和媒体“提及”情况进行了研究。使用Pearson相关系数和描述性统计方法检验了Altmetric评分、引用次数和IF之间的相关性。还将推特账户数据（加利福尼亚州旧金山）与其他指标进行了比较。
2013年，引用次数与Altmetric评分之间无相关性（r = 0.146，P = 0.087），IF与Altmetric评分之间也无相关性（r = 0.139，P = 0.100）。2016年，Altmetric评分与引用次数（r = 0.116，P = 0.176）或IF（r = 0.104，P = 0.225）之间也无显著相关性。2016年的Altmetric总评分比2013年高2.5倍，新闻媒体、脸书（加利福尼亚州门洛帕克）和推特的提及次数分别增加了257%、243%和307%。
与其他领域的文章相比，OMS文章获得的Altmetric评分较低，这表明社交媒体对其关注较少。目前，Altmetric评分不足以取代传统文献计量学指标，但可以提供有关公众获取知识的有价值信息，尤其是在文章发表后的即时阶段。
