The impact of using reinforcement learning to personalize communication on medication adherence: findings from the REINFORCE trial is a research paper published in npj Digital Medicine (2024). On theSindex it has a DataRank of 0.524. It has been cited 32 times.
Scored on demand from live citation data
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
0.524
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 →U.S. Department of Health & Human Services | NIH | National Institute on Aging
Grant: P30AG064199
U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute
Grant: K01HL141538
NHLBI NIH HHS
Grant: K23 HL161480
FWCI
23.52
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals