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Immunoproteomics

Overview of attention for book
Cover of 'Immunoproteomics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to the Immune System.
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    Chapter 2 Immunoproteomics: The Evolution from Classical Methods to Emerging Techniques.
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    Chapter 3 Serological Proteome Analysis for Antigen Identification.
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    Chapter 4 Targeted Analyses of MHC-I Peptides Using TOMAHAQ.
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    Chapter 5 High-Coverage Immunopeptidomics Using timsTOF Mass Spectrometers with Thunder-DDA-PASEF Boosted by MS2Rescore.
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    Chapter 6 Identification of Antibody-Cognate Antigens via a High-Throughput, Affinity Chromatography-Based, Shotgun Immunoproteomics Pipeline.
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    Chapter 7 Identification of Disease Characteristic Immune Complex Antigens.
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    Chapter 8 Enrichment of Phosphorylated and Glycosylated MHC Peptides for Mass Spectrometry-Based Neoantigen Analysis.
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    Chapter 9 Characterization of Human Leukocyte Antigen (HLA) Proteins with Integrated Immunopeptidomics and Proteomics Approach.
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    Chapter 10 Artemis: Mass Spectrometry-Based Identification of MHC-Presented Peptides Across Alleles, Classes, and Species Using Soluble Single-Chain MHC Constructs.
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    Chapter 11 A Novel Machine Learning Post-processing Filter for Mass Spectrometry-Based Proteogenomics Leveraging Retention Time Deviation and Peptide Physicochemical Properties.
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    Chapter 12 Utilizing Protein Bioinformatics to Delve Deeper into Immunopeptidomic Datasets with AIMS: An Automated Immune Molecule Separator.
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    Chapter 13 Ribosome Profiling for Novel Antigen Discovery.
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    Chapter 14 Multiplexed Detection of Autoantibodies to Glycopeptides Using Microarray.
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    Chapter 15 Preparation of the Low Molecular Weight Serum Proteome for Mass Spectrometry Analysis.
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    Chapter 16 MHC II MAPPs for High-Confident Immunogenicity Risk Assessment of Biotherapeutics.
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    Chapter 17 FLEXMAP 3D Immunoproteomics: A Protocol to Characterize General Human Antibody Profiles Against Pathogens.
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    Chapter 18 Profiling Norovirus Antibody Specificity and Function Using Luciferase Immunoprecipitation System (LIPS) Assays.
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    Chapter 19 Nucleic Acid Programmable Protein Arrays for Autoantibody Discovery: A Step-by-Step Guide.
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    Chapter 20 Epitope Screening by Hydrogen-Deuterium Exchange Mass Spectrometry for Improved Immunotherapeutic Outcomes.
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    Chapter 21 Intact Mass Spectrometry Analysis of Immuno-Isolated Human Therapeutic Antibodies from Serum.
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    Chapter 22 Prioritization of Therapeutic Targets of Inflammation Using Proteomics, Bioinformatics, and In Silico Cell-Cell Interactomics.
Attention for Chapter 5: High-Coverage Immunopeptidomics Using timsTOF Mass Spectrometers with Thunder-DDA-PASEF Boosted by MS2Rescore.
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Article details
Chapter title
High-Coverage Immunopeptidomics Using timsTOF Mass Spectrometers with Thunder-DDA-PASEF Boosted by MS2Rescore.
Chapter number 5
Book title
Immunoproteomics
Published in
Methods in molecular biology, January 2026
DOI 10.1007/978-1-0716-4832-2_5
Pubmed ID
Book ISBNs
978-1-07-164831-5, 978-1-07-164832-2
Authors

David Gomez-Zepeda, Julian Beyrle, Annica Preikschat, Arthur Declercq, Yannic Chen, Ralf Gabriels, Lennart Martens, Ute Distler, Stefan Tenzer

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 2 29%
Student > Ph. D. Student 2 29%
Student > Bachelor 1 14%
Unknown 2 29%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Agricultural and Biological Sciences 2 29%
Computer Science 1 14%
Unknown 2 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 October 2025.
All research outputs
#20,594,657
of 29,547,480 outputs
Outputs from Methods in molecular biology
#6,791
of 15,114 outputs
Outputs of similar age
#3,108
of 6,671 outputs
Outputs of similar age from Methods in molecular biology
#4
of 12 outputs
Altmetric has tracked 29,547,480 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,114 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 6,671 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.