Matrisome AnalyzeR: A suite of tools to annotate and quantify ECM molecules in big datasets across organisms is a dataset published in bioRxiv (Cold Spring Harbor Laboratory) (2023). 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 7 times, with 7 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
0.312
From this paper's citation signal
Citation Network Contribution
0.0814
From 3 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 7 citers.
National Institutes of Health
Grant: 5R01CA232517-05
Engineered ECM platforms to analyze progression in high grade serous ovarian cancer
National Institutes of Health
Grant: 1U01HG012680-01
Thinking outside the cell: Leveraging HuBMAP data to build the human ECM atlas
National Institutes of Health
Grant: 5U01HG012680-02
Thinking outside the cell: Leveraging HuBMAP data to build the human ECM atlas
National Institutes of Health
Grant: 1R21CA261642-01A1
Enhanced mass-spectrometry-based approaches for in-depth profiling of the cancer extracellular matrix
NCI NIH HHS
Grant: R21 CA261642
NHGRI NIH HHS
Grant: U01 HG012680
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