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.

My5C: web tools for chromosome conformation capture studies

Nature Methods(2009)10.1038/nmeth1009-690Source: DataRank Database

My5C: web tools for chromosome conformation capture studies is a research paper published in Nature Methods (2009). On theSindex it has a DataRank of 3.8. It has been cited 97 times, with 68 citing works in its 1-hop citation network.

N/A

3.8DataRank · unranked

3.8

Open Access97 citations · base score 4.6

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 (1/2)

Open Access

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 18%Citation Network 82%

Base Score Contribution

0.688

From this paper's citation signal

Citation Network Contribution

3.2

From 57 citing papers with measurable signal

Learn more about DataRank methodology →

Top 4 citers driving the network score

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

An integrated encyclopedia of DNA elements in the human genome
Nature201219,311 citationsDataRank 23.8Top 3%
A User's Guide to the Encyclopedia of DNA Elements (ENCODE)
PLoS Biology20111,583 citationsDataRank 20.9Top 4%
The long-range interaction landscape of gene promoters
Nature20121,541 citationsDataRank 1.1
Chromosome Conformation Capture Carbon Copy (5C): A massively parallel solution for mapping interactions between genomic elements
Genome Research20061,231 citationsDataRank 1.1

Why this DataRank?

DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 18% comes from its base citations and 82% from the citation network (57 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