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In the context of altmetrics, tweets have been discussed as potentialindicators of immediate and broader societal impact of scientific documents.However, it is not yet clear to what extent Twitter captures actual researchimpact. A small case study (Thelwall et al., 2013b) suggests that tweets tojournal articles neither comment on nor express any sentiments towards thepublication, which suggests that tweets merely disseminate bibliographicinformation, often even automatically. This study analyses the sentiments oftweets for a large representative set of scientific papers by specificallyadapting different methods to academic articles distributed on Twitter. Resultswill help to improve the understanding of Twitter's role in scholarlycommunication and the meaning of tweets as impact metrics.

Adapting sentiment analysis for tweets linking to scientific papers