Thoma Brent, Sanders Jason L, Lin Michelle, Paterson Quinten S, Steeg Jordon, Chan Teresa M
Learning Laboratory and Division of Medical Simulation, Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts ; University of Saskatchewan, Emergency Medicine, Saskatoon, Saskatchewan ; MedEdLIFE Research Collaborative, San Francisco, California.
MedEdLIFE Research Collaborative, San Francisco, California ; University of Pittsburgh, Department of Epidemiology, Pittsburgh, Pennsylvania ; Harvard Affiliated Emergency Medicine Residency, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, Massachusetts.
West J Emerg Med. 2015 Mar;16(2):242-9. doi: 10.5811/westjem.2015.1.24860. Epub 2015 Mar 17.
The number of educational resources created for emergency medicine and critical care (EMCC) that incorporate social media has increased dramatically. With no way to assess their impact or quality, it is challenging for educators to receive scholarly credit and for learners to identify respected resources. The Social Media index (SMi) was developed to help address this.
We used data from social media platforms (Google PageRanks, Alexa Ranks, Facebook Likes, Twitter Followers, and Google+ Followers) for EMCC blogs and podcasts to derive three normalized (ordinal, logarithmic, and raw) formulas. The most statistically robust formula was assessed for 1) temporal stability using repeated measures and website age, and 2) correlation with impact by applying it to EMCC journals and measuring the correlation with known journal impact metrics.
The logarithmic version of the SMi containing four metrics was the most statistically robust. It correlated significantly with website age (Spearman r=0.372; p<0.001) and repeated measures through seven months (r=0.929; p<0.001). When applied to EMCC journals, it correlated significantly with all impact metrics except number of articles published. The strongest correlations were seen with the Immediacy Index (r=0.609; p<0.001) and Article Influence Score (r=0.608; p<0.001).
The SMi's temporal stability and correlation with journal impact factors suggests that it may be a stable indicator of impact for medical education websites. Further study is needed to determine whether impact correlates with quality and how learners and educators can best utilize this tool.
利用社交媒体创建的急诊医学与重症监护(EMCC)教育资源数量急剧增加。由于无法评估其影响或质量,教育工作者难以获得学术认可,学习者也难以识别受推崇的资源。社交媒体指数(SMi)就是为解决这一问题而开发的。
我们使用社交媒体平台(谷歌网页排名、Alexa排名、脸书点赞数、推特关注者数和谷歌+关注者数)的数据,针对EMCC博客和播客得出三个归一化公式(序数、对数和原始公式)。对统计上最稳健的公式进行以下评估:1)使用重复测量和网站使用时长评估时间稳定性;2)将其应用于EMCC期刊并测量与已知期刊影响指标的相关性,以评估与影响力的相关性。
包含四个指标的SMi对数版本在统计上最为稳健。它与网站使用时长显著相关(斯皮尔曼r = 0.372;p < 0.001),并在七个月的重复测量中呈现显著相关性(r = 0.929;p < 0.001)。应用于EMCC期刊时,它与除发表文章数量外的所有影响指标均显著相关。与即时指数(r = 0.609;p < 0.001)和文章影响力得分(r = 0.608;p < 0.001)的相关性最强。
SMi的时间稳定性及其与期刊影响因子的相关性表明,它可能是医学教育网站影响力的一个稳定指标。需要进一步研究以确定影响力是否与质量相关,以及学习者和教育工作者如何能最佳利用这一工具。