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Assessing the reproducibility of labelled antibody binding in quantitative multiplexed immuno-mass spectrometry imaging

Analytical and Bioanalytical Chemistry(2021)10.1007/s00216-021-03536-9Source: DataRank Database

Assessing the reproducibility of labelled antibody binding in quantitative multiplexed immuno-mass spectrometry imaging is a research paper published in Analytical and Bioanalytical Chemistry (2021). On theSindex it has a DataRank of 0.479. It has been cited 8 times, with 6 citing works in its 1-hop citation network.

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0.479DataRank · unranked

Scored on demand from live citation data

Open Access8 citations · 6 citing works in its network

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)OA: greenTopics (35)IDs (PubMed)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 69%Citation Network 31%

Base Score Contribution

0.330

From this paper's citation signal

Citation Network Contribution

0.149

From 6 citing papers with measurable signal

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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 6 citers.

Real matrix-matched standards for quantitative bioimaging of cytosolic proteins in individual cells using metal nanoclusters as immunoprobes-label: A case study using laser ablation ICP-MS detection
Analytica Chimica Acta202213 citations27 referencesContributes 0.098
Solving technical issues in flow cytometry to characterize porcine CD8α/β expressing lymphocytes
Veterinary Immunology and Immunopathology20242 citations43 referencesContributes 0.026
Calibration approaches in laser ablation inductively coupled plasma mass spectrometry for bioimaging applications
TrAC Trends in Analytical Chemistry202425 citations160 referencesContributes 0.020
Mass spectrometry imaging advances and application in pharmaceutical research
Acta Materia Medica202218 citations183 referencesContributes 0.016
Atomic spectrometry update: review of advances in the analysis of clinical and biological materials, foods and beverages
Journal of Analytical Atomic Spectrometry202319 citations330 referencesContributes 0.009

Authors (6)

Mika T. Westerhausen ORCID,Prashina Singh,Philip Doble ORCID,Jonathan Wanagat ORCID,David Bishop ORCID

Live enrichment

PubMed:34304281

National Institutes of Health

Grant: R01AG055518

Australian Research Council

Grant: DP190102361

Discovery Projects - Grant ID: DP190102361

National Institutes of Health

Grant: 5K02AG059847-04

Mitochondrial biogenesis, genetics and cell loss in mammalian aging

Australian Research Council (ARC)

Grant: DE180100194

Discovery Early Career Researcher Award - Grant ID: DE180100194

National Institutes of Health

Grant: 5R21AR072950-02

Quantitative imaging of the dystrophin-glycoprotein complex

National Institutes of Health

Grant: 5R01AG055518-04

Mitochondrial biogenesis, genetics and cell loss in mammalian aging

NIAMS NIH HHS

Grant: R21 AR072950

NIA NIH HHS

Grant: K02 AG059847

greenLicense: Springer TDM

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8493634

publisherhttps://link.springer.com/content/pdf/10.1007/s00216-021-03536-9.pdf

publisherhttps://link.springer.com/article/10.1007/s00216-021-03536-9/fulltext.html

https://doi.org/10.1007/s00216-021-03536-9

https://pubmed.ncbi.nlm.nih.gov/34304281

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciencesAnimalsAntibodiesImmunohistochemistryMass SpectrometryMiceMuscle ProteinsReproducibility of Results

MeSH Terms

AnimalsAntibodiesImmunohistochemistryMass SpectrometryMiceMuscle ProteinsReproducibility of Results

Keywords

PreventionMuscle ProteinsReproducibility of ResultsBioengineeringBiological SciencesImmunohistochemistryMultiplexingAntibodiesMass SpectrometryAnalytical ChemistryMiceEngineeringImmuno-mass spectrometry imagingChemical SciencesAnimalsGeneric health relevanceBiotechnologyLA-ICP-MS imaging

Sustainable Development Goals

SDG 3: 3. Good health