Literature DB >> 34215327

Twitter integration of chemistry software tools.

Naruki Yoshikawa1, Ryuichi Kubo2, Kazuki Z Yamamoto3,4,5.   

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.

Entities:  

Keywords:  Chemical space; Knowledge sharing; Molecule editor; Open science; Retrosynthesis; Social media; Twitter; Visualization

Year:  2021        PMID: 34215327     DOI: 10.1186/s13321-021-00527-x

Source DB:  PubMed          Journal:  J Cheminform        ISSN: 1758-2946            Impact factor:   5.514


  4 in total

1.  Kekule.js: An Open Source JavaScript Chemoinformatics Toolkit.

Authors:  Chen Jiang; Xi Jin; Ying Dong; Ming Chen
Journal:  J Chem Inf Model       Date:  2016-06-09       Impact factor: 4.956

2.  LiteMol suite: interactive web-based visualization of large-scale macromolecular structure data.

Authors:  David Sehnal; Mandar Deshpande; Radka Svobodová Vařeková; Saqib Mir; Karel Berka; Adam Midlik; Lukáš Pravda; Sameer Velankar; Jaroslav Koča
Journal:  Nat Methods       Date:  2017-11-30       Impact factor: 28.547

3.  Crowdsourcing drug discovery for pandemics.

Authors:  John Chodera; Alpha A Lee; Nir London; Frank von Delft
Journal:  Nat Chem       Date:  2020-07       Impact factor: 24.427

4.  JSME: a free molecule editor in JavaScript.

Authors:  Bruno Bienfait; Peter Ertl
Journal:  J Cheminform       Date:  2013-05-21       Impact factor: 5.514

  4 in total

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