Department of Emergency Medicine, Northwestern University, Chicago, Illinois.
Section of Emergency Medicine, University of Chicago, Chicago, Illinois.
J Am Coll Radiol. 2018 Jan;15(1 Pt B):184-189. doi: 10.1016/j.jacr.2017.09.035. Epub 2017 Nov 6.
The use of social media by health professionals and medical journals is increasing. The aim of this study was to compare online views of articles in press (AIPs) released by Annals of Emergency Medicine before and after a nine-person social media team started actively posting links to AIPs using their personal Twitter accounts.
An observational before-and-after study was conducted. Web traffic data for Annals were obtained from the publisher (Elsevier), detailing the number of page views to annemergmed.com by referring websites during the study period. The preintervention time period was defined as January 1, 2013, to June 30, 2014, and the postintervention period as July 1, 2014, to July 31, 2015. The primary outcome was page views from Twitter per AIP released each month to account for the number of articles published each month. Secondary outcomes included page views from Facebook (on which there was no article-sharing intervention) and total article views per month.
The median page views from Twitter per individual AIP released each month increased from 33 in the preintervention period to 130, for an effect size of 97 (95% confidence interval, 56-111; P < .001). There was a smaller increase in median page views from Facebook per individual AIP of 21 (95% confidence interval, 10-32). There was no significant increase in these median values for total page views per AIP.
Twitter sharing of AIPs increased the number of page views that came from Twitter but did not increase the overall number of page views.
越来越多的医疗专业人员和医学期刊开始使用社交媒体。本研究旨在比较《急诊医学年鉴》(Annals of Emergency Medicine)在 9 人社交媒体团队开始积极使用个人 Twitter 账户链接发布即将出版的文章(AIP)前后,其在线浏览量的变化。
采用观察性前后对照研究。从出版商(Elsevier)获取《Annals》的网络流量数据,详细记录研究期间各参考网站对 annemergmed.com 的页面浏览量。干预前时间定义为 2013 年 1 月 1 日至 2014 年 6 月 30 日,干预后时间定义为 2014 年 7 月 1 日至 2015 年 7 月 31 日。主要结果为每月发布的每条 AIP 从 Twitter 获得的页面浏览量,以考虑每月发表的文章数量。次要结果包括每月从 Facebook 获得的页面浏览量(在此期间没有进行文章分享干预)和每月的总文章浏览量。
每月发布的每条 AIP 的个人 Twitter 页面浏览量中位数从干预前的 33 增加到干预后的 130,效果大小为 97(95%置信区间,56-111;P <.001)。每月发布的每条 AIP 的个人 Facebook 页面浏览量中位数略有增加,为 21(95%置信区间,10-32)。但 AIP 的这些中位数总页面浏览量没有显著增加。
Twitter 分享 AIP 增加了来自 Twitter 的页面浏览量,但并未增加总页面浏览量。