Pinho-Costa Luís, Yakubu Kenneth, Hoedebecke Kyle, Laranjo Liliana, Reichel Christofer Patrick, Colon-Gonzalez Maria Del C, Neves Ana Luísa, Errami Hassna
Fânzeres Family Health Unit, Praceta da Barrosa, s/n, 4510-513 Fânzeres, Gondomar, Portugal.
Department of Family Medicine, University of Jos & Jos University Teaching Hospital, P.M.B. 2076, Jos, Plateau State, Nigeria.
J Biomed Inform. 2016 Oct;63:390-399. doi: 10.1016/j.jbi.2016.09.010. Epub 2016 Sep 16.
Create an index of global reach for healthcare hashtags and tweeters therein, filterable by topic of interest.
For this proof-of-concept study we focused on the field of Primary Care and Family Medicine. Six hashtags were selected based on their importance, from the ones included in the 'Healthcare Hashtag Project'. Hashtag Global Reach (HGR) was calculated using the additive aggregation of five weighted, normalized indicator variables: number of impressions, tweets, tweeters, user locations, and user languages. Data were obtained for the last quarter of 2014 and first quarter of 2015 using Symplur Signals. Topic-specific HGR were calculated for the top 10 terms and for sets of quotes mapped after a thematic analysis. Individual Global Reach, IGR, was calculated across hashtags as additive indexes of three indicators: replies, retweets and mentions.
Using the HGR score we were able to rank six selected hashtags and observe their performance throughout the study period. We found that #PrimaryCare and #FMRevolution had the highest HGR score in both quarters; interestingly, #FMChangeMakers experienced a marked increase in its global visibility during the study period. "Health Policy" was the commonest theme, while "Care", "Family" and "Health" were the most common terms.
This is the first study describing an altmetric hashtag index. Assuming analytical soundness, the Index might prove generalizable to other healthcare hashtags. If released as a real-time business intelligence tool with customizable settings, it could aid publishing and strategic decisions by netizens, organizations, and analysts. IGR could also serve to augment academic evaluation and professional development.
Our study demonstrates the feasibility of using an index on the global reach of healthcare hashtags and tweeters.
创建一个涵盖全球范围的医疗保健主题标签及其中推文发布者的索引，并可按感兴趣的主题进行筛选。
在这项概念验证研究中，我们聚焦于初级保健和家庭医学领域。从“医疗保健主题标签项目”中选取了六个基于其重要性的主题标签。使用五个加权归一化指标变量（印象数、推文数、推文发布者数、用户位置和用户语言）的累加聚合来计算主题标签全球影响力（HGR）。使用Symplur Signals获取了2014年最后一个季度和2015年第一个季度的数据。针对前10个术语以及经过主题分析后映射的引语集计算特定主题的HGR。个体全球影响力（IGR）作为回复、转发和提及这三个指标的累加指数，跨主题标签进行计算。
利用HGR分数，我们能够对六个选定的主题标签进行排名，并观察它们在整个研究期间的表现。我们发现，#初级保健和#FMRevolution在两个季度中HGR分数最高；有趣的是，#FMChangeMakers在研究期间其全球知名度显著提高。“卫生政策”是最常见的主题，而“护理”“家庭”和“健康”是最常见的术语。
这是第一项描述替代计量主题标签索引的研究。假设分析合理，该索引可能适用于其他医疗保健主题标签。如果作为具有可定制设置的实时商业智能工具发布，它可以帮助网民、组织和分析师做出发布和战略决策。IGR还可用于加强学术评估和专业发展。
我们的研究证明了使用医疗保健主题标签及推文发布者全球影响力索引的可行性。
