Phenopacket-tools: Building and validating GA4GH Phenopackets is a dataset published in PLoS ONE (2023). On theSindex it has a DataRank of 0.534, placing it in the top 36.4% of the data-sharing corpus. It has been cited 12 times, with 7 citing works in its 1-hop citation network.
Ranks in the top 36% for downstream scientific impact
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
0.385
From this paper's citation signal
Citation Network Contribution
0.150
From 6 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 7 citers.
Director, Office of Science, Office of Basic Energy Sciences of the U.S. Department of Energy
Grant: #75N97019P00280
National Human Genome Research Institute
Grant: NIH NHGRI RM1HG010860, NIH NHGRI 1R01HG011799-01, NIH OD R24OD011883, NIH NICHD 1R01HD103805-01, NIH NLM contract #75N97019P00280
NICHD NIH HHS
Grant: R01 HD103805
Medical Research Council
Grant: MC_PC_19024
NHGRI NIH HHS
Grant: R01 HG011799
NIH HHS
Grant: R24 OD011883
NHGRI NIH HHS
Grant: RM1 HG010860
NHGRI NIH HHS
Grant: R35 HG011949
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: 1R01HD103805-01
Increasing the Yield and Utility of Pediatric Genomic Medicine with Exomiser
National Institutes of Health
Grant: 1R01HG011799-01
Real-time genetic diagnosis at the point of care
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