🏆 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.

MEGA11: Molecular Evolutionary Genetics Analysis Version 11

Molecular Biology and Evolution(2021)10.1093/molbev/msab120Source: DataRank Database
Top 3%
12.6DataRank
12.6Top 3%
Open Access
21333 citations · base score 10.0
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 12%Network Component 88%

Base Score Contribution

1.5

From this paper's citation signal

Citation Network Contribution

11.1

From 199 citing papers with measurable signal

Learn more about DataRank methodology →

Authors (3)

Glen Stecher,Sudhir KumarORCID,Koichiro TamuraORCID

Related Papers