Department of Emergency Medicine, University of California, San Francisco, San Francisco, CA.
Department of Emergency Medicine, Stanford University, Stanford, CA.
Ann Emerg Med. 2023 Jul;82(1):55-65. doi: 10.1016/j.annemergmed.2023.02.011. Epub 2023 Mar 25.
Given the popularity of educational blogs and podcasts in medicine, learners and educators need tools to identify trusted and impactful sites. The Social Media Index was a multi-sourced formula to rank the effect of emergency medicine and critical care blogs. In 2022, a key data point for the Social Media Index became unavailable. This bibliometric study aimed to develop a new measure, the Digital Impact Factor, as a replacement.
The Digital Impact Factor incorporated modern measures of website authority and reach. This formula was applied to a cross-sectional study of active emergency medicine and critical care blogs and podcasts. For each website, we generated a Digital Impact Factor score based on Ahrefs Domain Rating and the follower count of the websites' pages from 8 social media platforms. A series of Spearman correlations provided evidence of association by comparing a rank-ordered list to rank lists derived from the Social Media Index over the last 5 years. The Bland-Altman analysis assessed for agreement.
The authors identified 88 relevant websites with a median Ahrefs Domain Rating of 28 (range 0 to 71, maximum 100) and total social media followership count across 8 platforms of 1,828,557. The Domain Rating and individual social media followership scores were normalized based on the highest recorded values to yield the Digital Impact Factor (median 4.57; range 0.02 to 9.50, maximum 10). The correlation between the 2022 Digital Impact Factor and the 2021 Social Media Index was 0.94 (95% confidence interval 0.89 to 0.97; p<.001; n=41 rankings correlated), suggesting that they measure similar constructs. The Bland-Altman plot also demonstrated fair agreement between the 2 scores.
The Digital Impact Factor is a measure of the relative effect of educational blogs and podcasts within emergency medicine and critical care.
鉴于医学领域教育博客和播客的普及,学习者和教育者需要工具来识别值得信赖且有影响力的网站。社交媒体指数是一种多源公式,用于对急诊医学和危重病学博客的影响进行排名。2022 年,社交媒体指数的一个关键数据点变得不可用。这项文献计量学研究旨在开发一种新的衡量标准,即数字影响因子,作为替代。
数字影响因子纳入了网站权威和影响力的现代衡量标准。该公式应用于一项对活跃的急诊医学和危重病学博客和播客的横断面研究。对于每个网站,我们根据 Ahrefs 域名评级和来自 8 个社交媒体平台的网站页面关注者数量,生成一个数字影响因子得分。一系列斯皮尔曼相关性通过将有序列表与过去 5 年社交媒体指数的排名列表进行比较,提供了关联的证据。 Bland-Altman 分析评估了一致性。
作者确定了 88 个相关网站,其 Ahrefs 域名评级中位数为 28(范围 0 至 71,最大值 100),8 个平台上的总社交媒体关注者人数为 1,828,557。根据最高记录值对域名评级和各个社交媒体关注者分数进行归一化,得出数字影响因子(中位数 4.57;范围 0.02 至 9.50,最大值 10)。2022 年数字影响因子与 2021 年社交媒体指数之间的相关性为 0.94(95%置信区间 0.89 至 0.97;p<.001;n=41 个排名相关),表明它们测量的是类似的结构。Bland-Altman 图也表明了这两个分数之间的良好一致性。
数字影响因子是衡量急诊医学和危重病学教育博客和播客相对效果的一种方法。