Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Dynamic visualization of high-dimensional data

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.05.27.493785Source: DataRank Database

Dynamic visualization of high-dimensional data is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0. It has been cited 2 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

Download PDF

Cite:

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 (3 grants)OA: greenTopics (22)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

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.

Authors (3)

Rong Ma ORCID,James Zou ORCID,Eric Sun ORCID

Live enrichment

PubMed:19162232 OpenAlex:https://openalex.org/W4293068700

National Science Foundation

Grant: 1942926

CAREER: Enabling data valuation and deletion in human-centered machine learning

National Institutes of Health

Grant: 5P30AG059307-03

Stanford Aging & Ethnogeriatrics Transdisciplinary Collaborative Center (SAGE)

National Institutes of Health

Grant: 5RM1HG010023-05

Center for Sub-Cellular Genomics

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/05/29/2022.05.27.493785.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.05.27.493785

repositoryhttps://doi.org/10.1101/2022.05.27.493785

https://doi.org/10.1038/s43588-022-00380-4

Fields of Study

Single-cell and spatial transcriptomicsCell Image Analysis TechniquesGene expression and cancer classification0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Computer scienceVisualizationData miningVariance (accounting)Dimensionality reductionData visualizationImplementationDynamic dataReliability (semiconductor)Sensitivity (control systems)Machine learningDatabaseProgramming languageReproducibility of ResultsSingle-Cell AnalysisAlgorithms