🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge
Demo corpus. Scores are computed on a select set of biomedical paper/datasets and may be inaccurate for papers outside this corpus — DataRank relies on network effects that improve with scale. We aim to expand this into a fully open resource pending additional funding.

Predicting the functional impact of protein mutations: application to cancer genomics

Nucleic Acids Research(2011)10.1093/nar/gkr407Source: DataRank Database
Top 14%
16.7DataRank
16.7Top 14%
Open Access
2114 citations · base score 7.7
datarank_citation_only_1hop_v4Methodology
Data sources & pipeline
Pipeline:CrossRefSciBERTdoi-metadataOpenAlexDataRank
Enrichment:Pending
FAIR ChecklistContext only (not used in score)
FFindable
Has DOI
AAccessible
Open Access
IInteroperable
RReusable

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

DataRank Breakdown

Base Component 7%Network Component 93%

Base Score Contribution

1.1

From this paper's citation signal

Citation Network Contribution

15.6

From 188 citing papers with measurable signal

Learn more about DataRank methodology →

Authors (3)

Yevgeniy Antipin,Jaswinder S. SamraORCID,Boris RevaORCID

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