miRactDB characterizes miRNA–gene relation switch between normal and cancer tissues across pan-cancer is a dataset published in Briefings in Bioinformatics (2020). On theSindex it has a DataRank of 0.899, placing it in the top 22.4% of the data-sharing corpus. It has been cited 15 times, with 14 citing works in its 1-hop citation network.
Ranks in the top 22% for downstream scientific impact
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.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.416
From this paper's citation signal
Citation Network Contribution
0.484
From 12 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 14 citers.
NIH
Grant: R01CA131231
NIH
Grant: R01CA172115
National Institute of Health
Grant: U01AR069395
National Institute of Health
Grant: GM123037
NIAMS NIH HHS
Grant: R01 AR072613
NIGMS NIH HHS
Grant: R01 GM123037
NIGMS NIH HHS
Grant: R35 GM138184
National Institutes of Health
Grant: 1R01GM123037-01
Integrative approach to studying LncRNA functions
National Institutes of Health
Grant: 1U01AR069395-01A1
Systems Modeling Guided Bone regeneration
National Institutes of Health
Grant: 7R01CA172115-03
The role of microRNA in oncogene-induced senescence and cancer development
National Institutes of Health
Grant: 5R01CA131231-02
Tip60 in p38 and PRAK Mediated Oncogene-Induced Senescence and Tumor Suppression
FWCI
0.88
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals