Yoshikawa Naruki, Kubo Ryuichi, Yamamoto Kazuki Z
Department of Computer Science, University of Toronto, Toronto, Canada.
SHaLX Inc., Tokyo, Japan.
J Cheminform. 2021 Jul 2;13(1):46. doi: 10.1186/s13321-021-00527-x.
Social media activity on a research article is considered to be an altmetric, a new measure to estimate research impact. Demonstrating software on Twitter is a powerful way to attract attention from a larger audience. Twitter integration of software can also lower the barriers to trying the tools and make it easier to save and share the output. We present three case studies of Twitter bots for cheminformatics: retrosynthetic analysis, 3D molecule viewer, and 2D chemical structure editor. These bots make software research more accessible to a broader range of people and facilitate the sharing of chemical knowledge, concepts, and ideas.
研究文章在社交媒体上的活跃度被视为一种替代计量指标，这是一种评估研究影响力的新方法。在推特上展示软件是吸引更多受众关注的有力方式。软件与推特的整合还能降低试用这些工具的门槛，并使保存和分享输出结果变得更加容易。我们展示了三个用于化学信息学的推特机器人案例研究：逆合成分析、3D分子查看器和2D化学结构编辑器。这些机器人使更广泛的人群更容易接触到软件研究，并促进了化学知识、概念和想法的分享。
