Zohreh Zahedi

Organizational accounts are an integral part of the Twitter (now X) ecosystem. This study identified 9,842 research- and policy-related organizational accounts that had tweeted about scientific publications by linking three global organizational databases (GRID, ROR, and Overton) with two altmetrics databases containing Twitter data (Altmetrics and the former Crossref Event Data). The resulting dataset, which is openly available, was used to examine organizational activity in science communication across three dimensions: symbolic capital, tweeting activity, and engagement level. The results show that, compared to the average Twitter user engaged in science communication, organizational accounts hold a notable advantage in terms of follower bases and the proportion of science-related tweets. Their scientific tweets achieve high visibility through likes but perform weakly in generating conversational engagement, such as quotes and replies, reflecting a predominately one-way communication model. Distinct patterns also emerge across organizational categories: research facilities, in particular, demonstrate the strongest focus on scientific tweeting and are more successful in eliciting interactive engagement. This study contributes to both an open dataset of organizational accounts and a methodological framework for their identification, while also highlighting the important roles that organizations play in shaping scientific discourse on social media.