Supporting Health and Medical Decision Making: Findings and Insights from Fuzzy-Trace Theory is a research paper published in Medical Decision Making (2022). On theSindex it has a DataRank of 0.571. It has been cited 44 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
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Base Score Contribution
0.571
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology βU.S. National Science Foundation
Grant: SES-1536238
U.S. National Science Foundation
Grant: SES-2029420
National Institutes of Health
Grant: R21NR016905
National Institutes of Health
Grant: R21NR018693
NCI NIH HHS
Grant: R35 CA197730
National Science Foundation
Grant: 1536238
Quantitative Judgments in Law: Studies of Damage Award Decision Making
National Institutes of Health
Grant: 1R21NR016905-01A1
Testing an Intelligent Tutoring System Intervention to Enhance Genetic Risk Assessment in Underserved Blacks and Latinas at Risk of Hereditary Breast Cancer
National Science Foundation
Grant: 2029420
RAPID: Automated Extraction and Validation of the Gist of Social Media Messages about COVID-19
FWCI
4.27
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals