2012 年至 2017 年高可见度脓毒症文献:分析和比较替代计量学与文献计量学。
Highly visible sepsis publications from 2012 to 2017: Analysis and comparison of altmetrics and bibliometrics.
机构信息
Department of Anesthesiology, Emory University, 1750 Gambrell Dr, Atlanta, GA 30322, USA; Anesthesiology Service Line, Division of Critical Care Medicine, Atlanta Veterans Affairs Medical Center, 1670 Clairmont Rd, Decatur, GA 30033, USA.
Department of Anesthesiology, Emory University, 1750 Gambrell Dr, Atlanta, GA 30322, USA.
出版信息
J Crit Care. 2018 Dec;48:357-371. doi: 10.1016/j.jcrc.2018.09.033. Epub 2018 Sep 30.
PURPOSE
We sought to delineate highly visible publications related to sepsis. Within these subsets, elements of altmetrics performance, including mentions on Twitter, and the correlation between altmetrics and conventional citation counts were ascertained.
MATERIALS AND METHODS
Three subsets of sepsis publications from 2012 to 2017 were synthesized by the overall Altmetric.com attention score, number of mentions by unique Twitter users, and conventional citation counts. For these subsets, geolocated Twitter activity was plotted on a choropleth, the lag between publication date and altmetrics mentions was characterized, and correlations were examined between altmetrics performance and normalized conventional citation counts.
RESULTS
Of 57,152 PubMed query results, Altmetric.com data was available for 28,344 (49.6%). The top 50 publications by Altmetric.com attention score and Twitter attention represented a mix of original research and other types of work, garnering attention from Twitter users in 143 countries that was highly contemporaneous with publication. Altmetrics performance and conventional citation counts were poorly correlated.
CONCLUSIONS
While unreliable to gauge impact or future citation potential, altmetrics may be valuable for parties who wish to detect and drive public awareness of research findings and may enable researchers to dynamically explore the reach of their work in novel dimensions.
目的
我们旨在描述与脓毒症相关的高可见度出版物。在这些子集中,确定了 altmetrics 性能的要素,包括在 Twitter 上的提及,以及 altmetrics 与传统引文计数之间的相关性。
材料和方法
通过 Altmetric.com 的总关注度评分、独特 Twitter 用户的提及次数和传统引文计数,综合了 2012 年至 2017 年脓毒症出版物的三个子集。对于这些子集,在地域分布图上绘制了地理位置定位的 Twitter 活动,描述了出版物日期和 altmetrics 提及之间的滞后,并检查了 altmetrics 性能与归一化传统引文计数之间的相关性。
结果
在 57,152 篇 PubMed 查询结果中,有 28,344 篇(49.6%)可提供 Altmetric.com 数据。根据 Altmetric.com 关注度评分和 Twitter 关注度排名前 50 的出版物包括原始研究和其他类型的工作,引起了来自 143 个国家的 Twitter 用户的关注,并且与出版物高度同时发生。altmetrics 性能和传统引文计数相关性较差。
结论
虽然无法衡量影响或未来的引文潜力,但 altmetrics 对于希望发现并推动研究结果的公众意识的各方可能具有价值,并且可以使研究人员以新颖的维度动态探索其工作的影响力。