SAHMRI Women and Kids, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.
Adelaide Medical School and the Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia.
PLoS One. 2021 May 28;16(5):e0252472. doi: 10.1371/journal.pone.0252472. eCollection 2021.
Social media use is associated with developing communities of practice that promote the rapid exchange of information across traditional institutional and geographical boundaries faster than previously possible. We aimed to describe and share our experience using #neoEBM (Neonatal Evidence Based Medicine) hashtag to organise and build a digital community of neonatal care practice.
Analysis of #neoEBM Twitter data in the Symplur Signals database between 1 May 2018 to 9 January 2021. Data on tweets containing the #neoEBM hashtag were analysed using online analytical tools, including the total number of tweets and user engagement.
Since its registration, a total of 3 228 distinct individual Twitter users used the hashtag with 23 939 tweets and 37 259 710 impressions generated. The two days with the greatest number of tweets containing #neoEBM were 8 May 2018 (n = 218) and 28 April 2019 (n = 340), coinciding with the annual Pediatric Academic Societies meeting. The majority of Twitter users made one tweet using #neoEBM (n = 1078), followed by two tweets (n = 411) and more than 10 tweets (n = 347). The number of individual impressions (views) of tweets containing #neoEBM was 37 259 710. Of the 23 939 tweets using #neoEBM, 17 817 (74%) were retweeted (shared), 15 643 (65%) included at least one link and 1 196 (5%) had at least one reply. As #neoEBM users increased over time, so did tweets containing #neoEBM, with each additional user of the hashtag associated with a mean increase in 7.8 (95% CI 7.7-8.0) tweets containing #neoEBM.
Our findings support the observation that the #neoEBM community possesses many of the characteristics of a community of practice, and it may be an effective tool to disseminate research findings. By sharing our experiences, we hope to encourage others to engage with or build online digital communities of practice to share knowledge and build collaborative networks across disciplines, institutions and countries.
社交媒体的使用与实践社区的发展相关联，这种实践社区能够促进信息在传统机构和地理边界内的快速交流，其速度比以往任何时候都要快。我们旨在描述和分享使用#neoEBM（新生儿循证医学）标签来组织和建立新生儿护理实践数字社区的经验。
在 Symplur Signals 数据库中对 2018 年 5 月 1 日至 2021 年 1 月 9 日期间的#neoEBM 推特数据进行分析。使用在线分析工具对包含#neoEBM 标签的推文数据进行分析，包括推文总数和用户参与度。
自注册以来，共有 3228 位不同的个人推特用户使用该标签，发布了 23939 条推文，产生了 37259710 次印象。包含#neoEBM 的推文数量最多的两天是 2018 年 5 月 8 日（n=218）和 2019 年 4 月 28 日（n=340），恰逢儿科学会年会。大多数推特用户只发布了一条使用#neoEBM 的推文（n=1078），其次是两条推文（n=411）和 10 条以上推文（n=347）。包含#neoEBM 的推文的个人印象（浏览量）总数为 37259710。在使用#neoEBM 的 23939 条推文中，17817 条（74%）被转发（分享），15643 条（65%）包含至少一个链接，1196 条（5%）至少有一个回复。随着#neoEBM 用户的增加，包含#neoEBM 的推文数量也随之增加，每个标签的额外用户与包含#neoEBM 的推文平均增加 7.8 条（95%CI 7.7-8.0）相关。
我们的研究结果支持这样一种观点，即#neoEBM 社区具有实践社区的许多特征，它可能是传播研究结果的有效工具。通过分享我们的经验，我们希望鼓励其他人参与或建立在线数字实践社区，以在学科、机构和国家之间分享知识和建立协作网络。
