🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge
Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Widespread Enhancer Activity from Core Promoters

Trends in Biochemical Sciences(2018)10.1016/j.tibs.2018.03.004Source: DataRank Database

Widespread Enhancer Activity from Core Promoters is a research paper published in Trends in Biochemical Sciences (2018). On theSindex it has a DataRank of 2.6. It has been cited 80 times, with 60 citing works in its 1-hop citation network.

N/A
2.6DataRank · unranked

Scored on demand from live citation data

80 citations · 60 citing works in its network
Free full text
Cite:

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?

Methodology & internals
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring
Enrichment:Funding (8 grants)Impact (FWCI 3.38)OA: greenTopics (27)Linked Datasets (24)DataCite Reuse (24)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)
Findable (2/2)
  • Has DOI
  • Indexed in repositories
Accessible (0/2)
    Interoperable (2/2)
    • DataCite relations
    • Linked datasets
    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 →

      We only score data papers we can read in full — never from an abstract alone.

      DataRank Breakdown

      Base Score 26%Citation Network 74%

      Base Score Contribution

      0.659

      From this paper's citation signal

      Citation Network Contribution

      1.9

      From 56 citing papers with measurable signal

      Learn more about DataRank methodology →

      Authors (4)

      David Santiago-Algarra,Denis Puthier,Salvatore Spicuglia,Alejandra Medina-Rivera
      Live enrichment

      ARC

      Grant: PJA 20151203149

      Plan Cancer

      Grant: P036496

      CONACYT

      Grant: 269449

      ‘Programa de Apoyo a Proyectos de investigación e innovación tecnológica’ – Universidad Nacional Autónoma de México

      Grant: IA206517

      SEP-CONACYT-ANUIES-ECOS-NORD

      Grant: M17S02

      Aix-Marseille University

      ‘Equipe Labellisée Ligue Contre le Cancer’

      Inserm

      FWCI

      3.38

      Citation Percentile

      0.9%

      Citation Trend

      2017
      2018
      2019
      2020
      2021
      2022
      2023
      2024
      2025
      2026

      Fields of Study

      Genomics and Chromatin DynamicsRNA and protein synthesis mechanismsRNA Research and Splicing

      MeSH Terms

      AnimalsEnhancer Elements, GeneticGene Expression RegulationHumansPromoter Regions, GeneticHigh-Throughput Screening Assays

      Keywords

      EnhancerPromoterBiologyCRISPRGeneRegulation of gene expressionEpigenomicsGeneticsGene expressionComputational biologyGenomeReporter geneDNA methylationGene regulationPromotersReporter AssaysCrispr/cas9Epromoters

      Sustainable Development Goals

      SDG 0: Partnerships for the goals

      Additional file 1 of Inferring time series chromatin states for promoter-enhancer pairs based on Hi-C data

      Additional file 1 of Inferring time series chromatin states for promoter-enhancer pairs based on Hi-C data

      Additional file 2 of Inferring time series chromatin states for promoter-enhancer pairs based on Hi-C data

      Additional file 2 of Inferring time series chromatin states for promoter-enhancer pairs based on Hi-C data

      Additional file 3 of Inferring time series chromatin states for promoter-enhancer pairs based on Hi-C data

      Additional file 3 of Inferring time series chromatin states for promoter-enhancer pairs based on Hi-C data

      Additional file 4 of Inferring time series chromatin states for promoter-enhancer pairs based on Hi-C data

      Additional file 4 of Inferring time series chromatin states for promoter-enhancer pairs based on Hi-C data

      Additional file 5 of Inferring time series chromatin states for promoter-enhancer pairs based on Hi-C data

      Additional file 5 of Inferring time series chromatin states for promoter-enhancer pairs based on Hi-C data

      Additional file 6 of Inferring time series chromatin states for promoter-enhancer pairs based on Hi-C data

      Additional file 6 of Inferring time series chromatin states for promoter-enhancer pairs based on Hi-C data

      Additional file 7 of Inferring time series chromatin states for promoter-enhancer pairs based on Hi-C data

      Additional file 7 of Inferring time series chromatin states for promoter-enhancer pairs based on Hi-C data

      Additional file 1 of Cooperation of MLL1 and Jun in controlling H3K4me3 on enhancers in colorectal cancer

      Additional file 1 of Cooperation of MLL1 and Jun in controlling H3K4me3 on enhancers in colorectal cancer

      Additional file 4 of Cooperation of MLL1 and Jun in controlling H3K4me3 on enhancers in colorectal cancer

      Additional file 4 of Cooperation of MLL1 and Jun in controlling H3K4me3 on enhancers in colorectal cancer

      Additional file 5 of Cooperation of MLL1 and Jun in controlling H3K4me3 on enhancers in colorectal cancer

      Additional file 5 of Cooperation of MLL1 and Jun in controlling H3K4me3 on enhancers in colorectal cancer

      Related Papers (9)

      The multitalented Mediator complex
      N/A
      0.675DataRank · unranked
      Trends in Biochemical Sciences(2013)
      co-citedsame journal
      10.1016/j.tibs.2013.08.007
      Nature(2012)
      co-cited
      10.1038/nature11233
      Nature Methods(2012)
      co-cited
      10.1038/nmeth.1923
      Bioinformatics(2013)
      co-cited
      10.1093/bioinformatics/bts635
      Proceedings of the National Academy of Sciences(1992)
      co-cited
      10.1073/pnas.89.23.11219