Characterizing normal perinatal development of the human brain structural connectivity is a research paper published in Human Brain Mapping (2024). On theSindex it has a DataRank of 0. It has been cited 4 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.
We only score data papers we can read in full β never from an abstract alone.
NIBIB NIH HHS
Grant: R01 EB031849
NICHD NIH HHS
Grant: R01 HD110772
National Institutes of Health
Grant: R01NS128281
NVIDIA Corporation
Grant: RTX A5000
NIH HHS
Grant: R01EB032366
National Institutes of Health
Grant: R01NS106030
NICHD NIH HHS
Grant: R01 HD109395
National Science Foundation
Grant: 212306
NVIDIA Corporation
Grant: RTX A6000
National Institutes of Health
Grant: 7R01EB031849-05
Next-generation in-vivo fetal neuroimaging
National Institutes of Health
Grant: 5R01HD110772-02
Accurate, reliable, and interpretable machine learning for assessment of neonatal and pediatric brain micro-structure
National Institutes of Health
Grant: 5R01EB032366-03
Enhanced Imaging of the Fetal Brain Microstructure
National Institutes of Health
Grant: 5R01NS106030-04
Advancing microstructural and vascular neuroimaging in perinatal stroke
National Institutes of Health
Grant: 5R01HD109395-04
Imaging early development of human neural circuits
National Institutes of Health
Grant: 5R01NS128281-03
Enabling the Assessment of Fetal Brain Development and Degeneration with Machine Learning
MeSH Terms
Keywords