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Quantitative Methods in Proteomics

Overview of attention for book
Cover of 'Quantitative Methods in Proteomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Important Issues in Planning a Proteomics Experiment: Statistical Considerations of Quantitative Proteomic Data
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    Chapter 2 The Whereabouts of 2D Gels in Quantitative Proteomics
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    Chapter 3 Proteome Analysis with Classical 2D-PAGE
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    Chapter 4 Fast and Sensitive Coomassie Staining in Quantitative Proteomics
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    Chapter 5 Silver Staining of 2D Electrophoresis Gels
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    Chapter 6 Differential Proteome Analysis Using 2D-DIGE
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    Chapter 7 Quantitative mass spectrometry-based proteomics: an overview.
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    Chapter 8 Robust Workflow for iTRAQ-Based Peptide and Protein Quantification
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    Chapter 9 Relative Protein Quantification by MS/MS Using the Tandem Mass Tag Technology.
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    Chapter 10 A Rapid Approach for Isobaric Peptide Termini Labeling
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    Chapter 11 Isotope-Coded Protein Label
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    Chapter 12 Hydroponic Isotope Labeling of Entire Plants and High-Performance Mass Spectrometry for Quantitative Plant Proteomics
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    Chapter 13 In Vivo Quantitative Proteome Profiling: Planning and Evaluation of SILAC Experiments
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    Chapter 14 SILAC for the Study of Mammalian Cell Lines and Yeast Protein Complexes
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    Chapter 15 Post-digestion 18O Exchange/Labeling for Quantitative Shotgun Proteomics of Membrane Proteins
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    Chapter 16 Application of Label-Free Proteomics for Differential Analysis of Lung Carcinoma Cell Line A549
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    Chapter 17 Absolute Quantification of Proteins Using Standard Peptides and Multiple Reaction Monitoring
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    Chapter 18 Quantitative Methods in Proteomics
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    Chapter 19 A Practical Guide to the FLEXIQuant Method
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    Chapter 20 Label-Free Protein Quantitation Using Weighted Spectral Counting
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    Chapter 21 Discovering the Phosphoproteome of the Hydrophobic Cytochrome c Oxidase Membrane Protein Complex
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    Chapter 22 KiC Assay: A Quantitative Mass Spectrometry-Based Approach.
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    Chapter 23 Robust and High-Throughput Sample Preparation for (Semi-)Quantitative Analysis of N-Glycosylation Profiles from Plasma Samples
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    Chapter 24 Quantitative Redox Proteomics: The NOxICAT Method
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    Chapter 25 Quantitative Analysis of S-Nitrosylated Proteins
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    Chapter 26 Analysis of Ubiquitinated Proteome by Quantitative Mass Spectrometry
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    Chapter 27 Identification of Endogenous SUMO1 Accepter Sites by Mass Spectrometry
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    Chapter 28 Search and Decoy: The Automatic Identification of Mass Spectra
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    Chapter 29 Software Tools for MS-Based Quantitative Proteomics: A Brief Overview
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    Chapter 30 iTRAQ Data Interpretation
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    Chapter 31 MSQuant: A Platform for Stable Isotope-Based Quantitative Proteomics
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    Chapter 32 Erratum To: KiC Assay: A Quantitative Mass Spectrometry-Based Approach for Kinase Client Screening and Activity Analysis
Attention for Chapter 4: Fast and Sensitive Coomassie Staining in Quantitative Proteomics
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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54 Mendeley
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1 CiteULike
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Chapter title
Fast and Sensitive Coomassie Staining in Quantitative Proteomics
Chapter number 4
Book title
Quantitative Methods in Proteomics
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-61779-885-6_4
Pubmed ID
Book ISBNs
978-1-61779-884-9, 978-1-61779-885-6
Authors

Nadine Dyballa, Sabine Metzger, Dyballa, Nadine, Metzger, Sabine

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 19%
Student > Master 10 19%
Student > Ph. D. Student 8 15%
Student > Bachelor 6 11%
Student > Postgraduate 3 6%
Other 8 15%
Unknown 9 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 31%
Biochemistry, Genetics and Molecular Biology 15 28%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Unspecified 2 4%
Immunology and Microbiology 2 4%
Other 7 13%
Unknown 9 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 January 2022.
All research outputs
#5,900,811
of 22,867,327 outputs
Outputs from Methods in molecular biology
#1,720
of 13,127 outputs
Outputs of similar age
#52,582
of 244,677 outputs
Outputs of similar age from Methods in molecular biology
#115
of 474 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 13,127 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 244,677 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 474 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.