Curvature-based machine learning method for automated segmentation of dendritic spines is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2025). On theSindex it has a DataRank of 0.146. It has been cited 1 time, with 1 citing works in its 1-hop citation network.
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.
Base Score Contribution
0.104
From this paper's citation signal
Citation Network Contribution
0.0424
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) β log1p(Cq) divided by its reference count β out of 1 citer.
U.S. National Science Foundation
Grant: 1707356
NeuroNex Technology Hub: Enhanced resolution for 3DEM analysis of synapses across brain regions and taxa
U.S. National Science Foundation
Grant: 2014862
NeuroNex: Enabling Identification and Impact of Synaptic Weight in Functional Networks
U.S. National Science Foundation
Grant: 2011846
Bioinspired Soft Materials
U.S. National Science Foundation
Grant: 1920147
MRI: Acquisition of a GPU-Accelerated Research Cluster
U.S. National Science Foundation
Grant: 2219894
NCS-FO: Collaborative Research: Computational Analysis of Synaptic Nanodomains
National Institutes of Health
Grant: R01MH095980
National Institutes of Health
Grant: R56MH139176
National Institutes of Health
Grant: T32NS007292
Fields of Study
Keywords