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

A mass spectrometry-based targeted assay for detection of SARS-CoV-2 antigen from clinical specimens

EBioMedicine(2021)10.1016/j.ebiom.2021.103465Source: DataRank Database

A mass spectrometry-based targeted assay for detection of SARS-CoV-2 antigen from clinical specimens is a research paper published in EBioMedicine (2021). On theSindex it has a DataRank of 0. It has been cited 71 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access71 citations

Download PDF

Cite:

Linked data & code

pxd

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 3.22)OA: goldTopics (62)Linked Datasets (2)DataCite Reuse (2)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

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 (17)

Patrick M. Vanderboom ORCID,Anthony Maus ORCID,Jennifer Kemp,Kari M. Gurtner,Anil K. Madugundu ORCID

Live enrichment

PubMed:34229274 PMC:PMC8253671 OpenAlex:https://openalex.org/W3181429454

Wellcome Trust

Grant: unidentified

unidentified

Wellcome Trust

FWCI

3.22

Citation Percentile

0.9%

Citation Trend

2020

2021

2022

2023

2024

2025

2026

goldLicense: cc-by-nc-nd

journalhttp://www.thelancet.com/article/S2352396421002589/pdf

publisherhttp://www.thelancet.com/article/S2352396421002589/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2352396421002589?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2352396421002589?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.ebiom.2021.103465

Fields of Study

SARS-CoV-2 detection and testingBiosensors and Analytical DetectionSARS-CoV-2 and COVID-19 Research0301 basic medicine03 medical and health sciencesAnimalsAntigens, ViralAutomation, LaboratoryCOVID-19 Serological TestingChlorocebus aethiopsCoronavirus Nucleocapsid ProteinsHumansImmunoassayMachine LearningMass SpectrometryPhosphoproteinsSensitivity and Specificity

MeSH Terms

Machine LearningCoronavirus Nucleocapsid ProteinsCOVID-19 Serological TestingAnimalsAntigens, ViralChlorocebus aethiopsHumansImmunoassayPhosphoproteinsSensitivity and SpecificityMass SpectrometryAutomation, Laboratory

Keywords

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Mass spectrometryAntigenVirologyCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSars virusMedicineChromatographyChemistryImmunologyPathologyOutbreakDiseaseion mobilityMachine LearningDiagnostic AssaysCovid-19Sars-cov-2Medicine (General)Sensitivity and SpecificityCOVID-19 Serological TestingR5-920Chlorocebus aethiopsAnimalsCoronavirus Nucleocapsid ProteinsHumansAntigens, ViralAutomation, LaboratoryImmunoassayRPhosphoproteinsResearch Paper

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being

Additional file 1 of A SISCAPA-based approach for detection of SARS-CoV-2 viral antigens from clinical samples

10.6084/m9.figshare.16862684.v1figshare

Additional file 1 of A SISCAPA-based approach for detection of SARS-CoV-2 viral antigens from clinical samples

10.6084/m9.figshare.16862684figshare