Abstract
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.
Highlights
Social media such as Twitter has become an important communication tool for scientists
We report case studies of cheminformatics tools demonstrated on Twitter by introducing the functionality of our Twitter bots and Twitter cards
The result of the retrosynthetic analysis is sent several minutes later since it takes a while to run AiZynthFinder. It takes less than 3 min to return the result since we use the default time limit (120 s) of AiZynthFinder, but it may be delayed if other people are running the job
Summary
Social media such as Twitter has become an important communication tool for scientists. Twitter is a social networking service on which users post short messages called tweet, interact with each other by sending a reply and share other users’ tweets by retweet. Scientists are using hashtags such as #chemtwitter, #RealTimeChem, #ScienceTwitter, #compchem and #OpenScience to create communities on Twitter for networking and information exchange [1]. Twitter activities about a research paper are considered to be one of the altmetrics [2], which is an alternative to citation counting for measuring scientific impact. Attracting attention on Twitter is getting more important to promote scientific works. Tweepy: an easy-to-use Python library for accessing the Twitter API.
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