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Volume 21 Supplement 5

Proceedings of the 13th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO 2019): bioinformatics

Research

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.

Beijing, China3-7 November 2019

Edited by Hyojung Paik and Ruibin Xi

Conference website

Related articles have published as a supplement to BMC Medical Informatics and Decision Making and BMC Nephrology.

  1. Abnormal activation of human nuclear hormone receptors disrupts endocrine systems and thereby affects human health. There have been machine learning-based models to predict androgen receptor agonist activity. ...

    Authors: Myeong-Sang Yu, Jingyu Lee, Yongmin Lee and Dokyun Na

    Citation: BMC Bioinformatics 2020 21(Suppl 5):245

    Content type: Research

    Published on:

Annual Journal Metrics

  • Speed
    70 days to first decision for reviewed manuscripts only
    44 days to first decision for all manuscripts
    163 days from submission to acceptance
    36 days from acceptance to publication

    Citation Impact
    3.169 - 2-year Impact Factor
    3.629 - 5-year Impact Factor
    1.276 - Source Normalized Impact per Paper (SNIP)
    1.567 - SCImago Journal Rank (SJR)

    Usage 
    5,167,186 Downloads
    5089 Altmetric Mentions