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.

Biobank Lodz – DNA Based Biobank at the University of Lodz, Poland

Name: Biobank Lodz – DNA Based Biobank at the University of Lodz, Poland
Published: 2016
License: https://creativecommons.org/licenses/by/4.0/

Open Journal of Bioresources(2016)10.5334/ojb.22Source: DataRank Database

Biobank Lodz – DNA Based Biobank at the University of Lodz, Poland is a dataset published in Open Journal of Bioresources (2016). On theSindex it has a DataRank of 0.534, placing it in the top 49.4% of the data-sharing corpus. It has been cited 21 times, with 2 citing works in its 1-hop citation network.

Top 49%percentile

0.534DataRank

0.534Top 49%

Dataset21 citations · base score 3.1

Cite:

datarank_citation_only_1hop_v6· scope data_onlyMethodology

›Data sources & pipeline

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Pending

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (1/3)

Dataset classification

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

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DataRank Breakdown

Base Score 87%Citation Network 13%

Base Score Contribution

0.464

From this paper's citation signal

Citation Network Contribution

0.0706

From 2 citing papers with measurable signal

Learn more about DataRank methodology →

Top 1 citer driving the network score

Ranked by citation count — the same ordering the engine uses when summing log1p(C_q) over citers.

World Medical Association Declaration of Helsinki
JAMA201328,454 citationsDataRank 1.5

Why this DataRank?

DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 87% comes from its base citations and 13% from the citation network (2 citing papers contributed measurable signal).

Base score B(p): log1p(citation_count) — grows sub-linearly, so a paper with 1,000 citations is not 10× a paper with 100.
Network N(p): Σ over citers of log1p(C_q) ÷ max(outdegree_q, 1). Being cited by a highly-cited paper with few references counts most.
Damping factor d = 0.85: DataRank = (1−d)·B(p) + d·N(p) — the two cards above are each already multiplied by their share.
Self-citations excluded: Citers sharing any OpenAlex author ID with this paper are filtered out before the network sum.

Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.

Read the full methodology →

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Node colors:CenterData PaperData + Open AccessNon-dataSelected & links| Node size = percentile rank