...
首页> 外文期刊>Journal of medical Internet research >Response to “Twitter-Based Journal Clubs: Some Additional Facts and Clarifications”
【24h】

Response to “Twitter-Based Journal Clubs: Some Additional Facts and Clarifications”

机译:对“基于Twitter的期刊俱乐部:一些其他事实和说明”的回应

获取原文

摘要

We read with great interest the recent correspondence from Topf et al [1] regarding our recent publication “Globalization of Continuing Professional Development by Journal Clubs via Microblogging: A Systematic Review” [2]. We thank the authors for their interest, opinions, and contribution to the ongoing work evaluating the utility of Twitter-based Journal Clubs in the context of continuing professional development.Topf et al note the limitation associated with the dynamic nature of the "impressions"?data as a reported outcome measure and provide a well-explained example of how this metric is dynamic. Further, they correctly note that "spam" accounts associated with the journal clubs (JC) artificially increase the total impressions for a Twitter journal club. Despite this, when used appropriately, we believe there is some value to impressions as a performance metric given the paucity of comparative outcome measures in the early Twitter-based journal club era. This education tool is unique and traditional analysis methods typically used in systematic reviews and meta-analytical studies are clearly not suitable. The ?"impression:tweet ratio"? reported in the initial manuscript was a metric applied only to the Twitter user account to assess the following and “impression” of the journal club, thus reducing the influence of such "spam" accounts to a degree. We believe this modified calculation is a useful quantifiable measure of publicity and potential viewership of the discussion. However, for trend analysis, such as that performed for the top five performing journal clubs, the identification and exclusion of such accounts (eg, @brodalumab) was performed as they were not only statistical outliers but also known spam accounts. This helped us to provide highly accurate data in this analysis.The dynamic nature of Twitter-based JC was pertinently raised by the authors, as evidenced by the commencement of recent JCs. We support the notion of a "living" systematic review, not currently possible given the publication using traditional peer-reviewed methods and associated delays. The suggested method of “Storifying” the chat is an appealing method for consolidation and formalization of the conversation for later review. The value of these conversations for scholarly activity is gaining momentum, with some institutions promoting Altmetric scores for affiliated publications. Furthermore, Symplur in this context as a real-time aggregate database is an invaluable tool in appreciating the changes in journal club discussions. We anticipate that with further time and refinement, more sophisticated methods for measuring journal club performance will be devised. The ongoing success of current and future journal clubs will be determined by appropriate identification and recommendation from experienced participants with advice for successes and pitfalls from established JCs.Given the current opportunity to present updated data six-months following the previous review [2], 6 more Twitter journal clubs have been established and none have become inactive (see Figure 1). These new journal clubs represent diverse groups within the medical field including rheumatology (#rheumJC), radiology (#medradJClub) and neuro-crictical care (#NCSTJC). Additionally, several recent publications regarding the use of social media for medical education, specifically journal clubs, have become apparent. Of these, several represent publication of summaries of a recent Twitter-based journal club discussion [3-5] or narrative reviews on the evolution of Twitter-based journal clubs [6]. Further recent publications have assessed the uptake of Twitter-based journal clubs by respective societies [7,8].?Figure 1. Establishment of JCs per year, comparing active JCs (blue) with inactive JCs (red). 2015 included JCs started prior to May 2015. View this figure
机译:我们非常感兴趣地阅读了Topf等人[1]关于我们最近的出版物“期刊俱乐部通过微博进行的持续专业发展的全球化:系统综述” [2]。我们感谢作者的兴趣,观点和对正在进行的评估在持续专业发展的背景下基于Twitter的Journal Clubs的实用性所做的贡献。Topf等人注意到与“印象”的动态性质相关的局限性吗?数据作为报告的结果衡量指标,并提供了有关该指标如何动态化的充分说明的示例。此外,他们正确地注意到与日记俱乐部(JC)关联的“垃圾邮件”帐户人为地增加了Twitter日记俱乐部的总展示次数。尽管如此,由于在基于Twitter的早期期刊俱乐部时代缺乏比较结果衡量指标,因此,如果使用得当,我们认为印象作为绩效指标还是有价值的。这种教育工具是独特的,通常用于系统评价和荟萃分析研究的传统分析方法显然不适合。 “印象:推文比率”?原始手稿中报告的指标仅适用于Twitter用户帐户,用于评估期刊俱乐部的关注度和“印象”,从而在一定程度上降低了此类“垃圾邮件”帐户的影响。我们认为,这种修改后的计算方法可以有效地量化和讨论的潜在受众。但是,对于趋势分析(例如对表现最好的前五名俱乐部的趋势分析),执行此类帐户(例如@brodalumab)的识别和排除,因为它们不仅是统计异常值,而且是已知的垃圾邮件帐户。这有助于我们在此分析中提供高度准确的数据。作者最近提出了基于Twitter的JC的动态性质,最近的JC的出现证明了这一点。我们支持“活着的”系统评价的概念,鉴于使用传统的同行评审方法以及相关的延迟出版,目前尚无法实现。建议的“存储”聊天的方法是一种吸引人的方法,用于合并和形式化对话以供以后查看。这些对话对于学术活动的价值正在增长,一些机构为附属出版物推广了Altmetric分数。此外,在这种情况下,Symplur作为实时汇总数据库是评估期刊俱乐部讨论中的变化的宝贵工具。我们预计,随着时间的推移和改进,将设计出更复杂的方法来衡量期刊俱乐部的绩效。当前和未来期刊俱乐部的持续成功将取决于经验丰富的参与者的适当识别和推荐,以及已建立的JC的成功和陷阱的建议。鉴于当前的机会,在上次审核后的六个月内提供更新的数据[2],6已经建立了更多的Twitter日记俱乐部,并且没有一个变得不活跃(请参见图1)。这些新的期刊俱乐部代表了医学领域中的不同群体,包括风湿病学(#rheumJC),放射学(#medradJClub)和神经危急护理(#NCSTJC)。另外,关于使用社交媒体进行医学教育的一些最新出版物,特别是期刊俱乐部,已经变得显而易见。其中,一些代表最近发布的基于Twitter的期刊俱乐部讨论的摘要[3-5]或有关基于Twitter的期刊俱乐部的发展的叙述性评论[6]。最近的进一步出版物评估了各个社会对基于Twitter的期刊俱乐部的使用情况[7,8]。图1.每年建立JC,将活​​动JC(蓝色)与非活动JC(红色)进行比较。 2015年包括2015年5月之前开始的JC。查看此图

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号