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.

Bioinformatic and Computational Analysis for Genomic Medicine

Essentials of Genomic and Personalized Medicine(2010)10.1016/b978-0-12-374934-5.00010-6Source: DataRank Database

Bioinformatic and Computational Analysis for Genomic Medicine is a research paper published in Essentials of Genomic and Personalized Medicine (2010). On theSindex it has a DataRank of 0.115. It has been cited 1 time, with 1 citing works in its 1-hop citation network.

N/A

0.115DataRank · unranked

0.115

1 citations · base score 0.693

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 (0/3)

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

Run a calibrated FAIR evaluation for this paper →

DataRank Breakdown

Base Score 90%Citation Network 10%

Base Score Contribution

0.104

From this paper's citation signal

Citation Network Contribution

0.0115

From 1 citing papers with measurable signal

Learn more about DataRank methodology →

Top 5 citers driving the network score

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

Bioconductor: open software development for computational biology and bioinformatics
Genome Biology200412,497 citationsDataRank 1.4
Significance analysis of microarrays applied to the ionizing radiation response
Proceedings of the National Academy of Sciences200110,665 citationsDataRank 1.4
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
Nature20009,923 citationsDataRank 1.4
Using Bayesian Networks to Analyze Expression Data
Journal of Computational Biology20003,318 citationsDataRank 1.2
Genome-wide association studies for complex traits: consensus, uncertainty and challenges
Nature Reviews Genetics20082,954 citationsDataRank 1.2

Why this DataRank?

DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 90% comes from its base citations and 10% from the citation network (1 citing paper 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