Early Alzheimer’s disease pathology in human cortex is associated with a transient phase of distinct cell states is a dataset published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.447, placing it in the top 42.1% of the data-sharing corpus. It has been cited 9 times, with 6 citing works in its 1-hop citation network.
Ranks in the top 42% 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
0.345
From this paper's citation signal
Citation Network Contribution
0.101
From 5 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 6 citers.
Research Council of Finland
Grant: 328287
Regulation of neuroinflammation in Alzheimer's disease by non-coding RNAs
Research Council of Finland
Grant: 339763
Clinical and experimental study on human neuronal circuitry and cellular heterogeneity impacted by early Alzheimers disease -related pathology in iNPH patients (CLEAR)
National Institutes of Health
Grant: 3T32GM007753-41S1
Medical Scientist Training Program
Research Council of Finland
Grant: 334801
Multicellular organoids: modeling, mechanisms and therapy development for C9ORF72-associated neurodegeneration
Research Council of Finland
Grant: 338182
Mechanisms of microglia-specific genetic variants associated with Alzheimers disease
European Commission
Grant: 101043584
Window to the brain: a game changer in the discovery of human neuronal circuitry, cellular heterogenicity and biomarker profile indicative of early Alzheimer's disease -related pathology
National Institutes of Health
Grant: 5F30AG069446-02
Characterizing the landscape of cell-type specific changes associated with Alzheimer's disease before death with single-cell genomics
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