Check Your Confidence: Size Really Does Matter
Open accessAbstract
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
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
ChEMBL: a large-scale bioactivity database for drug discovery
Gaulton, A., Bellis, L. J., Bento, A. P., Chambers, J., Davies, M., Hersey, A., Light, Y., McGlinchey, S., Michalovich, D., Al-Lazikani, B., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr777 · Cited by 4,382 · see citing works
Sample Size Requirements for Estimating Pearson, Kendall and Spearman Correlations
Bonett, D. G., & Wright, T. A. (2000) · Psychometrika · doi:10.1007/bf02294183 · Cited by 1,095 · see citing works
Comparability of Mixed IC50 Data – A Statistical Analysis
Kalliokoski, T., Krämer, C., Vulpetti, A., & Gedeck, P. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061007 · Cited by 317 · see citing works
The Experimental Uncertainty of Heterogeneous Public Ki Data
Krämer, C., Kalliokoski, T., Gedeck, P., & Vulpetti, A. (2012) · Journal of Medicinal Chemistry · doi:10.1021/jm300131x · Cited by 234 · see citing works
CSAR Benchmark Exercise of 2010: Selection of the Protein–Ligand Complexes
Dunbar, J. B., Smith, R. D., Yang, C., Ung, P. M. U., Lexa, K. W., Khazanov, N. A., Stuckey, J. A., Wang, S., & Carlson, H. A. (2011) · Journal of Chemical Information and Modeling · doi:10.1021/ci200082t · Cited by 175 · see citing works
Self-citationCSAR Benchmark Exercise of 2010: Combined Evaluation Across All Submitted Scoring Functions
Smith, R. D., Dunbar, J. B., Ung, P. M. U., Esposito, E. X., Yang, C., Wang, S., & Carlson, H. A. (2011) · Journal of Chemical Information and Modeling · doi:10.1021/ci200269q · Cited by 142 · see citing works
Self-citationHealthy skepticism: assessing realistic model performance
Brown, S. P., Muchmore, S. W., & Hajduk, P. J. (2009) · Drug Discovery Today · doi:10.1016/j.drudis.2009.01.012 · Cited by 124 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [3]Hogg RV Tanis EA Probability and Statistical Inference Prentice Hall College Division Englewood Cliffs, NJ 07632 2001 402 411
Cited by
Sorted by citations
Guedes, I. A., Pereira, F. S. S., & Dardenne, L. E. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.01089 · Cited by 331 · see citing works
- Authors
- Carlson, H. A.
- Affiliations
- University of Michigan (US)
- Corresponding author
- Carlson, Heather A.
- ORCID
- Carlson, Heather A.
- Venue
- Journal of Chemical Information and Modeling
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-08-08
- Volume
- 53
- Issue
- 8
- Pages
- 1837-1841
- ISSN
- 1549-9596 (ISSN-L)
- 1549-960X
- PMC
- PMC3821705
- 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
- green
- europepmc.org
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review