The ENCODE (ENCyclopedia Of DNA Elements) Project
The ENCODE (ENCyclopedia Of DNA Elements) Project is a dataset published in Science (2004). On theSindex it has a DataRank of 23.1, placing it in the top 3.1% of the data-sharing corpus. It has been cited 2,487 times, with 200 citing works in its 1-hop citation network.
Abstract
The ENCyclopedia Of DNA Elements (ENCODE) Project aims to identify all functional elements in the human genome sequence. The pilot phase of the Project is focused on a specified 30 megabases (approximately 1%) of the human genome sequence and is organized as an international consortium of computational and laboratory-based scientists working to develop and apply high-throughput approaches for detecting all sequence elements that confer biological function. The results of this pilot phase will guide future efforts to analyze the entire human genome.
›Data sources & pipeline
FAIR Checklist
Context only (not used in score)- Has DOI
- Dataset classification
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
DataRank Breakdown
Base Score Contribution
1.2
From this paper's citation signal
Citation Network Contribution
22.0
From 200 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.
- Initial sequencing and analysis of the human genomeNature200124,542 citationsDataRank 17.1Top 10%
- An integrated encyclopedia of DNA elements in the human genomeNature201219,311 citationsDataRank 23.8Top 3%
- The Sequence of the Human GenomeScience200113,648 citationsDataRank 18.7Top 7%
- Initial sequencing and comparative analysis of the mouse genomeNature20027,236 citationsDataRank 16.2Top 10%
- A haplotype map of the human genomeNature20055,917 citationsDataRank 29.2Top 1%
Why this DataRank?
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 5% comes from its base citations and 95% from the citation network (200 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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