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.

Chromatin architectural proteins

Chromosome Research(2006)10.1007/s10577-006-1025-xSource: DataRank Database

Chromatin architectural proteins is a research paper published in Chromosome Research (2006). On theSindex it has a DataRank of 3.9. It has been cited 98 times, with 94 citing works in its 1-hop citation network.

N/A

3.9DataRank · unranked

3.9

98 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 (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 18%Citation Network 82%

Base Score Contribution

0.689

From this paper's citation signal

Citation Network Contribution

3.2

From 76 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.

Crystal structure of the nucleosome core particle at 2.8 Å resolution
Nature19979,374 citationsDataRank 1.4
New DNA sequence rules for high affinity binding to histone octamer and sequence-directed nucleosome positioning
Journal of Molecular Biology19981,877 citationsDataRank 1.1
Distinct Cytoplasmic and Nuclear Fractions of <i>Drosophila</i> Heterochromatin Protein 1: Their Phosphorylation Levels and Associations with Origin Recognition Complex Proteins
The Journal of Cell Biology1998111 citationsDataRank 5.2
Monte Carlo Simulations of Nucleosome Chains to Identify Factors that Control DNA Compaction and Access
Innovations in Biomolecular Modeling and Simulations20126 citationsDataRank 0.360

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 (76 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