🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Measure what citations miss

Discover Your Data's Imprint

Search any DOI. In seconds, see a citation-only 1-hop DataRank score built from the paper's citations and its citing network.

papersdatasetsauthorsinstitutionsfunderscitations
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.

Why DataRank

Citations tell one story. Datasets tell another.

Data sharing accelerates discovery, enables reproducibility, and compounds scientific value for decades. DataRank is the standard metric that finally captures it.

01

1-Hop Graph Signal

A single-step citation propagation across OpenAlex citers, weighted by each citer's citation strength and reference outdegree.

02

Citation-Only Base

Each seed paper gets a base score B(p)=log1p(citation_count), then damping blends base and network components.

03

Instant Percentile Ranking

Every paper is classified into five tiers (S1–S5), giving researchers, funders, and institutions a clear, comparable benchmark.

Phase 1 corpus

NIH-funded biomedical research, scored

Our curated Phase 1 corpus covers NIH-funded data papers — scored, ranked, and expanding biweekly. Any paper with a DOI can be scored on demand.

Papers indexed

Datasets indexed

Authors tracked

Institutions

Funders indexed

Citation edges

Phase 1 covers NIH-funded biomedical research. The corpus expands biweekly.

Integrations

Bring DataRank to your workflow

We're building plugins for the tools researchers already use — so you can see DataRank scores without leaving your library.

Zotero

View DataRank scores and percentile tiers directly in your Zotero library for every paper with a DOI.

Mendeley

Surface DataRank insights inside Mendeley — see which papers in your collection have the highest data impact.

98.4S1

DataRank percentile

How it works

From DOI to DataRank in seconds

1

Enter any DOI

Paste a DOI from any published paper. We query CrossRef and OpenAlex in real time, plus enrichment metadata services.

2

Compute base score

Compute the seed base score from citation count only: B(p)=log1p(citation_count).

3

Apply 1-hop propagation

Aggregate citer citation signal N(p)=Σ log1p(Cq)/outdeg(q), excluding self-citations, then blend with damping d=0.85.

4

Get your DataRank

Receive a DataRank score, percentile class (S1–S5), and a full breakdown of what contributed to the result.

Ready to see the full picture?

Search any DOI. In seconds you'll get a DataRank score, percentile class, and the complete story of how that paper's data drives science forward.