Chapter 6 Chromatin Remodeling and Nuclear Receptor Signaling
Chapter 6 Chromatin Remodeling and Nuclear Receptor Signaling is a research paper published in Progress in Molecular Biology and Translational Science (2009). On theSindex it has a DataRank of 0.599. It has been cited 9 times, with 8 citing works in its 1-hop citation network.
›Data sources & pipeline
FAIR Checklist
Context only (not used in score)- Has DOI
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
DataRank Breakdown
Base Score Contribution
0.345
From this paper's citation signal
Citation Network Contribution
0.254
From 7 citing papers with measurable signal
Top 5 citers driving the network score
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
- Crystal structure of the nucleosome core particle at 2.8 Å resolutionNature19979,374 citationsDataRank 1.4
- The language of covalent histone modificationsNature20008,549 citationsDataRank 1.4
- The Transcriptional Coactivators p300 and CBP Are Histone AcetyltransferasesCell19962,946 citationsDataRank 1.2
- A genomic code for nucleosome positioningNature20061,524 citationsDataRank 1.1
- A complex containing N-CoR, mSln3 and histone deacetylase mediates transcriptional repressionNature19971,217 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 58% comes from its base citations and 42% from the citation network (7 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(Cq) ÷ max(outdegreeq, 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.
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