The last decade of altmetrics research has demonstrated that altmetrics have a low to moderate correlation with citations, depending on the platform and the discipline, among other factors. Most past studies used academic works as their unit of analysis to determine whether the attention they received on Twitter was a good predictor of academic engagement. Our work revisits the relationship between tweets and citations where the tweet itself is the unit of analysis, and the question is to determine if, at the individual level, the act of tweeting an academic work can shed light on the likelihood of the act of citing that same work. We model this relationship by considering the research activity of the tweeter and its relationship to the tweeted work. Results show that tweeters are more likely to cite works affiliated with their same institution, works published in journals in which they also have published, and works in which they hold authorship. It finds that the older the academic age of a tweeter the less likely they are to cite what they tweet, though there is a positive relationship between citations and the number of works they have published and references they have accumulated over time.

翻译：过去十年间的替代计量研究表明，替代计量指标与引用之间存在低至中等程度的相关性，这种相关性因平台、学科等因素而异。以往大多数研究以学术成果为分析单元，探讨其在推特上获得的关注度能否有效预测学术参与度。本研究重新审视推文与引用之间的关系，以推文本体为分析单元，探究在个体层面，推文学术成果的行为是否能够揭示其引用该成果的可能性。我们通过建模分析推文作者的研究活动及其与推文成果的关系。结果表明，推文作者更倾向于引用同一机构的研究成果、其曾发表论文的期刊中的文献，以及其本人参与撰写的论文。研究发现，推文作者的学术年龄越大，其引用自身推文成果的可能性越低，但引用次数与作者发表的论文数量及积累的参考文献总数呈正相关关系。