Based on the definition of the well-known h index we propose a t factor for measuring the impact of publications (and other entities) on Twitter. The new index combines tweet and retweet data in a balanced way whereby retweets are seen as data reflecting the impact of initial tweets. The t factor is defined as follows: A unit (single publication, journal, researcher, research group etc.) has factor t if t of its Nt tweets have at least t retweets each and the other (Nt-t) tweets have <=t retweets each.

中文翻译：

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t 因子：衡量 Twitter 影响的指标

基于众所周知的 h 指数的定义，我们建议在因子中衡量出版物（和其他实体）在 Twitter 上的影响。新指数以平衡的方式结合推文和转推数据，将转推视为反映初始推文影响的数据。t 因子定义如下：如果一个单位（单个出版物、期刊、研究人员、研究小组等）的 t 条推文至少有 t 次转发，并且其他 (Nt-t) 条推文具有 <= t 转发每个。