最大化学术领域的推文参与率：AJNR 推特Feed 的分析。
Maximizing the Tweet Engagement Rate in Academia: Analysis of the AJNR Twitter Feed.
机构信息
From the Departments of Radiology (V.W., E.L., R.T.F.)
From the Departments of Radiology (V.W., E.L., R.T.F.).
出版信息
AJNR Am J Neuroradiol. 2017 Oct;38(10):1866-1868. doi: 10.3174/ajnr.A5283. Epub 2017 Jun 29.
Abstract
The use of social media by medical professionals and organizations is increasing, with Twitter receiving the most attention. User engagement is an important goal of social media activity, and engagement metrics represent a viable gauge of value in social media. No thorough analysis of tweet characteristics that increase academic user engagement has yet been published. In this study, the authors analyzed the Twitter feed to determine the tweet characteristics that were associated with higher engagement rates.
摘要
医学专业人士和机构越来越多地使用社交媒体，其中 Twitter 受到的关注最多。用户参与度是社交媒体活动的一个重要目标，参与度指标代表了社交媒体中一种可行的价值衡量标准。目前还没有对能提高学术用户参与度的推文特征进行全面分析的研究。在这项研究中，作者分析了 Twitter 信息流，以确定与更高参与率相关的推文特征。
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