Adaptable toolbox to characterize Alzheimer’s disease pathology in mouse models is a research paper published in STAR Protocols (2022). On theSindex it has a DataRank of 0.141. It has been cited 1 time, with 1 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
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
0.104
From this paper's citation signal
Citation Network Contribution
0.0368
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 1 citer.
National Institutes of Health
Grant: P30 CA014195
National Institutes of Health
Grant: R01 AI101400
National Institutes of Health
Grant: RF1 AG060748
National Institutes of Health
Grant: S10-OD023689
NIH HHS
Grant: S10 OD023689
National Institutes of Health
Grant: 1RF1AG060748-01A1
TAM Receptor Signaling in Neurodegenerative Disease
National Institutes of Health
Grant: 2P30CA014195-31
Senior Leadership
National Institutes of Health
Grant: 5R01AI101400-09
TAM Receptors and Virus Infection
National Institutes of Health
Grant: 1S10OD023689-01A1
BD FACSAria Fusion for Flow Cytometry Core Facility
FWCI
0.08
Citation Percentile
0.4%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals