Spoken words as biomarkers: using machine learning to gain insight into communication as a predictor of anxiety is a dataset published in Journal of the American Medical Informatics Association (2020). On theSindex it has a DataRank of 0.742, placing it in the top 27.1% of the data-sharing corpus. It has been cited 16 times, with 15 citing works in its 1-hop citation network.
Ranks in the top 27% for downstream scientific impact
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.425
From this paper's citation signal
Citation Network Contribution
0.317
From 12 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 15 citers.
National Institute for Nursing Research
Grant: R01NR012213
National Institutes of Health
Grant: 2R01NR012213-05A1
A Problem Solving Intervention for Hospice Caregivers
National Institutes of Health
FWCI
1.45
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals