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

Robust and annotation-free analysis of alternative splicing across diverse cell types in mice

eLife(2022)10.7554/elife.73520Source: DataRank Database

Robust and annotation-free analysis of alternative splicing across diverse cell types in mice is a dataset published in eLife (2022). On theSindex it has a DataRank of 0.852, placing it in the top 23.6% of the data-sharing corpus. It has been cited 23 times, with 23 citing works in its 1-hop citation network.

Top 24%percentile

0.852DataRank

Ranks in the top 24% for downstream scientific impact

Data paper Open Access23 citations · 23 citing works in its network

Download PDF

Cite:

Linked data & code

geo

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)Impact (FWCI 1.76)OA: goldTopics (26)IDs (PubMed, PMC, OpenAlex)Annotations (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (1/3)

Dataset classification

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 56%Citation Network 44%

Base Score Contribution

0.477

From this paper's citation signal

Citation Network Contribution

0.375

From 16 citing papers with measurable signal

Learn more about DataRank methodology →

Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 23 citers.

SpliceWiz: interactive analysis and visualization of alternative splicing in R
Briefings in Bioinformatics202333 citations41 referencesContributes 0.086
Investigating RNA splicing as a source of cellular diversity using a binomial mixture model
bioRxiv (Cold Spring Harbor Laboratory)20233 citations18 referencesContributes 0.077
From words to complete phrases: insight into single-cell isoforms using short and long reads
Transcription202322 citations91 referencesContributes 0.034
Robust Integration of Sparse Single-Cell Alternative Splicing and Gene Expression Data with SpliceVI
bioRxiv (Cold Spring Harbor Laboratory)20251 citations21 referencesContributes 0.033
A unified model for interpretable latent embedding of multi-sample, multi-condition single-cell data
Nature Communications20247 citations65 referencesContributes 0.032

Authors (3)

Jonathan Fischer ORCID,Yun S. Song ORCID,Gonzalo Benegas ORCID

Live enrichment

PubMed:35229721 PMC:PMC8975553 OpenAlex:https://openalex.org/W4220867642

National Institutes of Health

Grant: R35-GM134922

Chan Zuckerberg Initiative

Grant: CZF2019-002449

NIGMS NIH HHS

Grant: R35 GM134922

FWCI

1.76

Citation Percentile

0.8%

Citation Trend

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://doi.org/10.7554/elife.73520

publisherhttps://doi.org/10.7554/elife.73520

publisherhttps://cdn.elifesciences.org/articles/73520/elife-73520-v2.pdf

publisherhttps://cdn.elifesciences.org/articles/73520/elife-73520-v2.xml

publisherhttps://elifesciences.org/articles/73520

Fields of Study

Single-cell and spatial transcriptomicsRNA Research and SplicingCell Image Analysis Techniques

MeSH Terms

RNA Splicing FactorsAnimalsRNA SplicingSoftwareRNA-Binding ProteinsAlternative SplicingComputational BiologyMice

Keywords

Alternative splicingRNA splicingGeneCell typeGene expressionMinigeneRegulation of gene expressionMousesystems biologycomputational biologychromosomesSplicing FactorsSingle-cell Rna-seqTabula MurisPrimary Motor Cortex Neurons