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Shotgun Proteomics

Overview of attention for book
Cover of 'Shotgun Proteomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Survey of shotgun proteomics.
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    Chapter 2 LC-MALDI-TOF/TOF for Shotgun Proteomics.
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    Chapter 3 Fully automatable multidimensional reversed-phase liquid chromatography with online tandem mass spectrometry.
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    Chapter 4 GeLC-MS/MS Analysis of Complex Protein Mixtures.
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    Chapter 5 IPG Strip-Based Peptide Fractionation for Shotgun Proteomics.
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    Chapter 6 SILAC Yeast: From Labeling to Comprehensive Proteome Quantification.
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    Chapter 7 Analysis of proteome dynamics in mice by isotopic labeling.
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    Chapter 8 Stable Isotope Labeling in Mammals (SILAM).
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    Chapter 9 Analysis of individual protein turnover in live animals on a proteome-wide scale.
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    Chapter 10 Determining Protein Subcellular Localization in Mammalian Cell Culture with Biochemical Fractionation and iTRAQ 8-Plex Quantification.
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    Chapter 11 Brain Quantitative Proteomics Combining GeLC-MS and Isotope-Coded Protein Labeling (ICPL)
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    Chapter 12 Employing TMT Quantification in a Shotgun-MS Platform.
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    Chapter 13 Employing TMT Quantification in Shotgun-MS Proteomic Analysis: A Focus on Skeletal Muscle.
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    Chapter 14 Spectral counting label-free proteomics.
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    Chapter 15 Quantification of Proteins by Label-Free LC-MS(E.).
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    Chapter 16 Bioinformatics for proteomics: opportunities at the interface between the scientists, their experiments, and the community.
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    Chapter 17 Identification of DNA Damage Checkpoint-Dependent Protein Interactions in Saccharomyces cerevisiae Using Quantitative Mass Spectrometry.
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    Chapter 18 Application of shotgun proteomics for discovery-driven protein-protein interaction.
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    Chapter 19 Mapping protein complexes using covalently linked antibodies and isobaric mass tags.
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    Chapter 20 Biomarker verification using selected reaction monitoring and shotgun proteomics.
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    Chapter 21 Use of Universal Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC)-Based Selected Reaction Monitoring (SRM) Approach for Verification of Breast Cancer-Related Protein Markers.
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    Chapter 22 The Secretome Analysis by High-Throughput Proteomics and Multiple Reaction Monitoring (MRM).
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    Chapter 23 Preparation of heteroelement-incorporated and stable isotope-labeled protein standards for quantitative proteomics.
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    Chapter 24 One-source peptide/phosphopeptide ratio standards for accurate and site-specific determination of the degree of phosphorylation.
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    Chapter 25 Quantitative glycoproteomics for N-glycoproteome profiling.
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    Chapter 26 A practical recipe to survey phosphoproteomes.
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    Chapter 27 Quantitation of the Phosphoproteome Using the Library-Assisted eXtracted Ion Chromatogram (LAXIC) Strategy.
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    Chapter 28 Fast, efficient, and quality-controlled phosphopeptide enrichment from minute sample amounts using titanium dioxide.
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    Chapter 29 Quantifying small molecule-induced changes in cellular protein expression and posttranslational modifications using isobaric mass tags.
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    Chapter 30 Analysis of protein structure by cross-linking combined with mass spectrometry.
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    Chapter 31 Top-down proteomics by means of orbitrap mass spectrometry.
Overall attention for this book and its chapters
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About this Attention Score

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  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Citations

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Title
Shotgun Proteomics
Published by
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-0685-7
ISBNs
978-1-4939-0684-0, 978-1-4939-0685-7
Editors

Daniel Martins-de-Souza

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 6%
Student > Ph. D. Student 3 4%
Student > Doctoral Student 1 1%
Professor > Associate Professor 1 1%
Unknown 63 88%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 3%
Engineering 2 3%
Agricultural and Biological Sciences 1 1%
Chemistry 1 1%
Immunology and Microbiology 1 1%
Other 0 0%
Unknown 65 90%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 December 2016.
All research outputs
#14,013,928
of 22,919,505 outputs
Outputs from Methods in molecular biology
#3,949
of 13,132 outputs
Outputs of similar age
#170,902
of 305,827 outputs
Outputs of similar age from Methods in molecular biology
#158
of 592 outputs
Altmetric has tracked 22,919,505 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 68% 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 305,827 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 592 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 72% of its contemporaries.