Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project is a dataset published in Nature (2007). On theSindex it has a DataRank of 12.9, placing it in the top 0.5% of the data-sharing corpus. It has been cited 5,277 times, with 100 citing works in its 1-hop citation network. Its calibrated FAIR score is 78/100.
Ranks in the top 1% for downstream scientific impact
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Full FAIR picture · advisory
This score predates the current agent — it came from the earlier rubric, which blended repository metadata into the number and asked the model for a rating rather than an evidenced verdict. Re-evaluate the paper to score it against the current standards-anchored criteria, where every verdict is backed by a quote from the full text.
DOI present
datacite=25, pmcid=True, pmid=True
OpenAlex id present
files/OA location present but not flagged OA
29 OA location(s)
linked_datasets=25, datacite=25
accessions=1, trials=0
license present (Springer TDM)
downloads=0
no version chain
is_dataset
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
1.3
From this paper's citation signal
Citation Network Contribution
11.6
From 100 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 100 citers.
NHGRI NIH HHS
Grant: R01 HG002238
NHGRI NIH HHS
Grant: R01 HG003541
NHGRI NIH HHS
Grant: U01 HG003151
NHGRI NIH HHS
Grant: R01 HG003110
NHGRI NIH HHS
Grant: U01 HG003150
NHGRI NIH HHS
Grant: U01 HG003161
NHGRI NIH HHS
Grant: U54 HG003079
NHGRI NIH HHS
Grant: R01 HG003129
NCI NIH HHS
Grant: F32 CA108313
NHGRI NIH HHS
Grant: K22 HG003169
NHGRI NIH HHS
Grant: R01 HG003521
NHGRI NIH HHS
Grant: U01 HG003156
NHGRI NIH HHS
Grant: R01 HG003532
NHGRI NIH HHS
Grant: U01 HG002523
NHGRI NIH HHS
Grant: U01 HG003168
NHGRI NIH HHS
Grant: P41 HG002371
NHGRI NIH HHS
Grant: R01 HG003143
NHGRI NIH HHS
Grant: U01 HG003147
NHGRI NIH HHS
Grant: U54 HG003067
Wellcome Trust
Grant: 062023
Wellcome Trust
Grant: 077198
NHGRI NIH HHS
Grant: U01 HG003157
NHGRI NIH HHS
Grant: U01 HG003162
NHGRI NIH HHS
Grant: U54 HG003273
FWCI
181.59
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
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Additional file 5 of New insights into genome annotation in Podospora anserina through re-exploiting multiple RNA-seq data
Additional file 2 of New insights into genome annotation in Podospora anserina through re-exploiting multiple RNA-seq data
Additional file 2 of New insights into genome annotation in Podospora anserina through re-exploiting multiple RNA-seq data
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Additional file 1 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 2 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 2 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 4 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 4 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 5 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 5 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 6 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 6 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 7 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 7 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 8 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Additional file 8 of Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
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Additional file 7 of LncRNA regulates tomato fruit cracking by coordinating gene expression via a hormone-redox-cell wall network