MoNET: an R package for multi-omic network analysis is a dataset published in Bioinformatics (2021). On theSindex it has a DataRank of 0.393, placing it in the top 46.4% of the data-sharing corpus. It has been cited 5 times, with 5 citing works in its 1-hop citation network.
Ranks in the top 46% 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
0.269
From this paper's citation signal
Citation Network Contribution
0.125
From 5 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 5 citers.
National Institute of Health
Grant: R21 AG066135
National Science Foundation
Grant: 1942394
CAREER: Computational strategies for incompleteness and heterogeneity in multi-omic data
National Science Foundation
Grant: 1755836
CRII:SCH:Computational Methods to Mine Multi-omic Data for Systems Biology of Complex Diseases
National Natural Science Foundation of China
Grant: 61773134
National Natural Science Foundation of China
Grant: 61803117
National Natural Science Foundation of China
Grant: 61901063
Humanities and Social Science Fund of Ministry of Education of China
Grant: 19YJCZH120
Natural Science Foundation of Heilongjiang Province of China
Grant: YQ2019F003
Science and Technology Plan Project of Changzhou
Grant: CE20205042
National Institutes of Health
Grant: 5R21AG066135-02
Gene co-expression underlying the connectomic alterations in Alzheimer's disease
FWCI
0.22
Citation Percentile
0.5%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals