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

Three-dimensional feature matching improves coverage for single-cell proteomics based on ion mobility filtering

Cell Systems(2022)10.1016/j.cels.2022.02.003Source: DataRank Database

Three-dimensional feature matching improves coverage for single-cell proteomics based on ion mobility filtering is a research paper published in Cell Systems (2022). On theSindex it has a DataRank of 0. It has been cited 93 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access93 citations

Free full text

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 (6 grants)OA: hybridIDs (PubMed)

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 (12)

Gérémy Clair ORCID,Sarah Williams ORCID,Song Feng ORCID,Chia‐Feng Tsai ORCID,Ronald Moore ORCID

Live enrichment

PubMed:23304386

Biological and Environmental Research

Grant: DE-AC05-76RL01830

National Institutes of Health

Grant: P41 GM103493

National Institutes of Health

Grant: R01 GM138931

National Institutes of Health

Grant: R21 DC019753

National Institutes of Health

Grant: HL122703

National Institutes of Health

Grant: U01 HL148860

hybridLicense: cc-by-nc-nd

publisherhttp://www.cell.com/article/S2405471222000813/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2405471222000813?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2405471222000813?httpAccept=text/plain

repositoryhttps://www.osti.gov/servlets/purl/2282559

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9119937

Related Papers (10)

Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics

N/A

1.1DataRank · unranked

Cell Systems(2020)

co-citedsame journal

10.1016/j.cels.2020.06.013

The Molecular Signatures Database Hallmark Gene Set Collection

Top 1%

10.9DataRank

Cell Systems(2015)

co-citedsame journal

10.1016/j.cels.2015.12.004

The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences

Top 3%

6.9DataRank

Nucleic Acids Research(2021)

co-cited

10.1093/nar/gkab1038

Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma

N/A

9.1DataRank · unranked

Cell(2020)

co-cited

10.1016/j.cell.2020.06.013

Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy

N/A

8.1DataRank · unranked

Cell(2020)

co-cited

10.1016/j.cell.2020.10.036

Integrated Proteogenomic Characterization across Major Histological Types of Pediatric Brain Cancer

N/A

0.878DataRank · unranked

Cell(2020)

co-cited

10.1016/j.cell.2020.10.044

Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution

Nature Communications(2020)

co-cited

10.1038/s41467-019-13858-z

Ultrasensitive single-cell proteomics workflow identifies >1000 protein groups per mammalian cell

Chemical Science(2020)

co-cited

10.1039/d0sc03636f

Rapid and deep-scale ubiquitylation profiling for biology and translational research

N/A

2.6DataRank · unranked

Nature Communications(2020)

co-cited

10.1038/s41467-019-14175-1

Proteogenomic Characterization of Ovarian HGSC Implicates Mitotic Kinases, Replication Stress in Observed Chromosomal Instability

N/A

2.4DataRank · unranked

Cell Reports Medicine(2020)

co-cited

10.1016/j.xcrm.2020.100004