ReviewJournal of proteome research2024
Calculating and Reporting Coefficients of Variation for DIA-Based Proteomics.
Review in Journal of proteome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed.
- A Portable Electrical Response Verification System for Blood Glucose Meters Based on Dynamic Microcurrent Reproduction.Sensors (Basel, Switzerland) · 2026Article
- Protein Variability Patterns in Ovarian Serous Carcinoma.International journal of molecular sciences · 2026Article
- GlycoDiveR: A Modular R Framework to Analyze and Visualize Highly Dimensional Glycoproteomics Data.ACS measurement science au · 2026Article
- RSM-Optimized Ultrasonic-Assisted Extraction for High-Efficiency Recovery of Pb, Cd, and As in Complex Systems.ACS omega · 2026Article
- Serum proteome of the Egyptian rousette bat (Rousettus aegyptiacus) reveals signatures of immunity, proteostasis, and metabolism.Scientific reports · 2026Article
- GlycoDiveR: a modular R framework to analyze and visualize highly dimensional glycoproteomics data.bioRxiv : the preprint server for biology · 2026Article
- Single cell proteomic analysis defines discrete neutrophil functional states in human glioblastoma.Nature communications · 2025Article
- QuickProt: A Bioinformatics and Visualization Tool for DIA and PRM Mass Spectrometry-Based Proteomics Datasets.Proteomics · 2025Article
- High-throughput proteome integral solubility alteration assay for low cell input using One-Tip.Communications chemistry · 2025Article
- ProMix: Enhancing Protein Quantification through Experimental Design and Statistical Normalization.Journal of proteome research · 2025Article
- Label-Free Proteomic Profiling of the dvls2 (CL2006) Caenorhabditis elegans Alzheimer's Disease (AD) Model Reveals Conserved Molecular Signatures Shared With the Human AD Brain.Journal of neurochemistry · 2025Article
- Development of an Adaptive, Economical, and Easy-to-Use SP3-TMT Automated Sample Preparation Workflow for Quantitative Proteomics.Journal of proteome research · 2025Article
- Multiplexed phosphoproteomics of low cell numbers using SPARCE.Communications biology · 2025Article
- Isobaric Tagging and Data Independent Acquisition as Complementary Strategies for Proteome Profiling on an Orbitrap Astral Mass Spectrometer.Journal of proteome research · 2025Article
- Molecularly-guided spatial proteomics captures single-cell identity and heterogeneity of the nervous system.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The coefficient of variation (CV) is a measure that is frequently used to assess data dispersion for mass spectrometry-based proteomics. In the current era of burgeoning technical developments, there has been an increased focus on using CVs to measure the quantitative precision of new methods. Thus, it has also become important to define a set of guidelines on how to calculate and report the CVs. This perspective shows the effects that the CV equation, data normalization as well as software parameters, can have on data dispersion and CVs, highlighting the importance of reporting all these variables within the methods section. It also proposes a set of recommendations to calculate and report CVs for technical studies, where the main objective is to benchmark technical developments with a focus on precision. To assist in this process, a novel R package to calculate CVs (proteomicsCV) is also included.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.