S.H. Ho Urology Centre, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong.
NHS Lothian, Edinburgh, Scotland, UK.
Eur Urol Focus. 2020 May 15;6(3):450-457. doi: 10.1016/j.euf.2019.08.008. Epub 2019 Aug 28.
Little is known about the key composition of a successful tweet in urology.
To investigate for predictors of engagement with urology content on Twitter.
DESIGN, SETTING, AND PARTICIPANTS: This was a cross-sectional study based on 2-wk Twitter data surrounding a major international urology conference.
We examined the engagement for all original tweets containing the hashtags for the European Association of Urology conference ("#EAU19" and/or "#EAU2019").
Study outcomes included engagement with tweets, as measured by the number of "likes" and "retweets." Tweet- and Twitter user-related parameters of each individual tweet were recorded. Multiple linear regression analyses were performed to investigate for predictors of likes and retweets.
From March 9 to 22, 2019, there were a total of 37 222 tweets. Among them, 3534 were "original tweets" that had 31 889 likes and 10 031 retweets. On multivariable analysis, the word count, number of mentions, and presence of a photo were predictors of likes and retweets. An increasing number of hashtags were associated with fewer likes. The number of "followings" and "followers" of the contributor, and their time since joining Twitter did not have any associations with the number of likes or retweets. The major limitation of the study is the lack of assessment about the quality of the tweet content.
Based on the Twitter data from a urology conference, we concluded that the word count, number of mentions, and presence of a photo within the tweet were associated with audience engagement.
We could engage the audience more successfully by increasing the number of words and mentions, and including a photo within a tweet. The results formulated the basic principles in creating successful tweets for sharing urological knowledge.
关于在泌尿科领域成功发布推文的关键要素知之甚少。
研究预测在 Twitter 上与泌尿科内容互动的因素。
设计、设置和参与者:这是一项基于在一次大型国际泌尿科会议期间的两周 Twitter 数据的横断面研究。
我们检查了所有包含欧洲泌尿外科学会会议标签(“#EAU19”和/或“#EAU2019”)的原始推文的互动情况,这些标签包括点赞和转发。
研究结果包括互动量,通过点赞和转发的数量来衡量。记录了每条推文及其 Twitter 用户的相关参数。进行了多元线性回归分析,以调查点赞和转发的预测因素。
2019 年 3 月 9 日至 22 日,共发布了 37222 条推文。其中,3534 条为“原始推文”,共获得 31889 个赞和 10031 次转发。在多变量分析中,字数、提及次数和图片的存在是点赞和转发的预测因素。使用的标签数量增加与点赞数量减少相关。推文贡献者的关注者数量和关注者数量,以及他们加入 Twitter 的时间长短,与点赞或转发数量没有任何关联。本研究的主要局限性是缺乏对推文内容质量的评估。
根据来自泌尿科会议的 Twitter 数据,我们得出结论,推文内的字数、提及次数和图片的存在与受众互动相关。
通过增加字数和提及次数,并在推文中添加图片,我们可以更成功地吸引受众。这些结果为分享泌尿科知识的成功推文制定了基本原则。