Automated image transcription for perinatal blood pressure monitoring using mobile health technology is a research paper published in PLOS Digital Health (2024). On theSindex it has a DataRank of 0. It has been cited 3 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.
National Institute of Child Health and Human Development
Grant: 1R21HD084114-0
National Institute of Child Health and Human Development
Grant: R01HD110480
National Center for Advancing Translational Sciences
Grant: UL1-TR002378
NCATS NIH HHS
Grant: KL2 TR002542
NICHD NIH HHS
Grant: R21 HD084114
NCATS NIH HHS
Grant: KL2 TR000455
NCATS NIH HHS
Grant: UL1 TR002378
NIEHS NIH HHS
Grant: K12 ES033593
National Institutes of Health
Grant: 5UL1TR002378-09
Georgia Clinical & Translational Science Alliance (Georgia CTSA)
National Institutes of Health
Grant: 5R01HD110480-04
AI-driven low-cost ultrasound for automated quantification of hypertension, preeclampsia, and IUGR
National Institutes of Health
Grant: 1R21HD084114-01
Mobile Health Intervention to Improve Perinatal Continuum of Care in Guatemala
School of Medicine, Emory University
FWCI
2.76
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals