🏆 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.

The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method

BMC Medical Research Methodology(2014)10.1186/1471-2288-14-25Source: DataRank Database
Top 16%
15.2DataRank
15.2Top 16%
Open Access
2062 citations · base score 7.6
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 8%Network Component 92%

Base Score Contribution

1.1

From this paper's citation signal

Citation Network Contribution

14.1

From 188 citing papers with measurable signal

Learn more about DataRank methodology →

Authors (3)

George F. Borm,John P. A. IoannidisORCID,Joanna IntHoutORCID

Related Papers