Investigating the context in which researchers engage with social media objects facilitates a greater understanding of their research behaviour. This study shifts analytical focus from the research paper itself to the geographical, socio-topical, and individual dimensions of the Tweeter and the tweeted paper to understand if researchers cite what they tweet. Results show that Tweeters are more likely to cite papers affiliated with their same institution, papers published in journals in which they also have published, and papers 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 papers they have published and references they have accumulated over time. This paper sheds light on the contextual nature of the tweet-citation relationship.

Open Data is a concept receiving increased attention and support in academic environments, with one justification being that shared data may be re-used in further research. But what evidence exists for such re-use, and what is the relationship between the producers of shared datasets and researchers making use of them? This work in progress uses dataset citations in the OpenAlex bibliometric database to analyze the relationship between creators of datasets and authors who cite them, at individual, institutional, and national levels. It finds that most countries cite US datasets more frequently than their own, and US-based institutions frequently make more use of other countries’ datasets than researchers producing citing works within those countries. It also finds a low rate of both self-citation and institution-matched citations for datasets. Understanding where and how the sharing of data between researchers, institutions, and countries takes place is essential to developing open research practices.