Organisational accounts are an integral part of the Twitter (now X) ecosystem. This study identified 9,842 research- and policy-related organisational accounts that had tweeted about scholarly publications by linking three global organisational databases (GRID, ROR, and Overton) with two altmetric databases containing Twitter data (Altmetric and the former Crossref Event Data). The resulting openly available dataset was used to examine organisational activity in scholarly communication across three dimensions: social media capital, tweeting activity, and engagement level. The results show that, compared to all Twitter users engaged in scholarly communication, organisational accounts hold a notable advantage in terms of follower bases and the proportion of scholarly tweets. Their scholarly tweets achieve high visibility through likes and retweets but perform weakly in generating more conversational forms of engagement, such as quotes and replies. Distinct patterns emerge across organisational categories: research facilities, in particular, demonstrate the strongest focus on scholarly tweeting, whereas government accounts are comparatively more successful in eliciting engagement across all metrics, including the more interactive ones. This study contributes both an open dataset of organisational accounts and a methodological framework for their identification, while also highlighting the important roles that organisations play in shaping scholarly discourse on social media.

翻译：组织账号是Twitter（现为X）生态系统中不可或缺的组成部分。本研究通过关联三个全球性组织数据库（GRID、ROR、Overton）与两个包含Twitter数据的替代计量数据库（Altmetric及原Crossref Event Data），识别出9,842个曾就学术出版物发布推文的研究与政策相关组织账号。基于这一公开可获取的数据集，我们从社交媒体资本、推文活跃度和互动水平三个维度考察了组织在学术交流中的行为特征。结果表明，与所有参与学术交流的Twitter用户相比，组织账号在粉丝基数及学术推文占比方面具有显著优势。其学术推文通过点赞和转发达成高可见性，但在生成更富对话性的互动形式（如引用推文和回复）方面表现较弱。各组织类别呈现差异化模式：研究机构尤以学术推文专注度最为突出，而政府账号在包括高互动性指标在内的所有互动度量上更具成功性。本研究既贡献了组织账号的开放数据集及其识别方法框架，也揭示了组织在塑造社交媒体学术话语中的重要作用。