Cited by 14Computational Drug Discovery MethodsAdvanced Chemical Physics StudiesMachine Learning in Materials Science

Check Your Confidence: Size Really Does Matter

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Carlson, Heather A.·2013·Journal of Chemical Information and Modeling

Abstract

ADVERTISEMENT RETURN TO ISSUEPerspectiveNEXTCheck Your Confidence: Size Really Does MatterHeather A. Carlson*View Author Information Department of Medicinal Chemistry, College of Pharmacy, University of Michigan, 428 Church St., Ann Arbor, Michigan 48109-1065, United States*E-mail: [email protected]. Phone: (734) 615-6841.Cite this: J. Chem. Inf. Model. 2013, 53, 8, 1837–1841Publication Date (Web):August 5, 2013Publication History Received19 July 2013Published online8 August 2013Published inissue 26 August 2013https://pubs.acs.org/doi/10.1021/ci4004249https://doi.org/10.1021/ci4004249review-articleACS PublicationsCopyright © 2013 American Chemical SocietyRequest reuse permissionsArticle Views1082Altmetric-Citations12LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Bioinformatics and computational biology,Mathematical methods,Screening assays,Structure activity relationship,Theoretical and computational chemistry Get e-Alerts

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  1. [3]Hogg RV Tanis EA Probability and Statistical Inference Prentice Hall College Division Englewood Cliffs, NJ 07632 2001 402 411

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Authors
Carlson, H. A.
Affiliations
University of Michigan (US)
Corresponding author
Carlson, Heather A.
Venue
Journal of Chemical Information and Modeling
Published
2013-08-08
Volume
53
Issue
8
Pages
1837-1841
ISSN
  • 1549-9596 (ISSN-L)
  • 1549-960X
OpenAlex
W2081678229
Cited by
14
References
7
Citations by year
2026: 1 · 2023: 1 · 2022: 1 · 2020: 2 · 2019: 1 · 2018: 2 · 2017: 1 · 2016: 2 · 2015: 1 · 2014: 2
FWCI
1.82
Type
journal article
Language
en
Open access
Locations
  • Journal of Chemical Information and Modeling (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Bristol-Myers Squibb
  • Genentech
  • National Institute of General Medical Sciences (U01GM086873)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Advanced Chemical Physics Studies
  • Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
Keywords
molecular size, molecular descriptors, structure-activity relationship, screening assay
MeSH terms
Humans, Research Design, Statistics as Topic, Confidence Intervals, Linear Models, Sample Size, Statistics, Nonparametric

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