The Ontology of Biological Attributes (OBA) - Computational Traits for the Life Sciences is a dataset published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.254, placing it in the top 59.5% of the data-sharing corpus. It has been cited 3 times, with 3 citing works in its 1-hop citation network.
Ranks in the top 59% 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
0.208
From this paper's citation signal
Citation Network Contribution
0.0463
From 2 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 3 citers.
National Institutes of Health
Grant: 3R01DA028420-17S1
Mouse Phenome Project
National Institutes of Health
Grant: 5R24OD011883-07
The Monarch Initiative: Linking Diseases to Model Organism Resources
National Institutes of Health
Grant: 5RM1HG010860-03
A phenomics-first resource for interpretation of variants
National Institutes of Health
Grant: 1U54OD030187-01
The Jackson Laboratory Center for Precision Genetics
Fields of Study
Keywords
Sustainable Development Goals