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The Low Molecular Weight Proteome

Overview of attention for book
Cover of 'The Low Molecular Weight Proteome'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Narrow-Range Peptide Isoelectric Focusing as Peptide Prefractionation Method Prior to Tandem Mass Spectrometry Analysis
  3. Altmetric Badge
    Chapter 2 Analysis of Peptides by Denaturing Ultrafiltration and LC-MALDI-TOF-MS.
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    Chapter 3 Stable Isotope Labeling Methods in Protein Profiling
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    Chapter 4 Development of MRM-Based Assays for the Absolute Quantitation of Plasma Proteins
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    Chapter 5 Mass Spectrometric Profiling of Low-Molecular-Weight Proteins
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    Chapter 6 Developing an iMALDI Method.
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    Chapter 7 Analysis of Neuropeptides by MALDI Imaging Mass Spectrometry
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    Chapter 8 Highly Multiplexed Antibody Suspension Bead Arrays for Plasma Protein Profiling
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    Chapter 9 Protein Quantification by Peptide Quality Control (PQPQ) of Shotgun Proteomics Data
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    Chapter 10 Collection and Handling of Blood Specimens for Peptidomics
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    Chapter 11 An Automated RP–SCX Solid-Phase Extraction Procedure for Urinary Peptidomics Biomarker Discovery Studies
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    Chapter 12 Application of Phage Display for Ligand Peptidomics to Identify Peptide Ligands Binding to AQP2-Expressing Membrane Fractions.
  14. Altmetric Badge
    Chapter 13 Protein Expression Profiling of Brain Tumor Tissue Using SELDI-MS
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    Chapter 14 Comprehensive Analysis of MHC Ligands in Clinical Material by Immunoaffinity-Mass Spectrometry
Attention for Chapter 14: Comprehensive Analysis of MHC Ligands in Clinical Material by Immunoaffinity-Mass Spectrometry
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
35 Mendeley
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Chapter title
Comprehensive Analysis of MHC Ligands in Clinical Material by Immunoaffinity-Mass Spectrometry
Chapter number 14
Book title
The Low Molecular Weight Proteome
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-4614-7209-4_14
Pubmed ID
Book ISBNs
978-1-4614-7167-7, 978-1-4614-7209-4
Authors

Kie Kasuga, Kasuga, Kie

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Australia 1 3%
Unknown 33 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 20%
Researcher 6 17%
Student > Doctoral Student 4 11%
Student > Master 4 11%
Student > Bachelor 3 9%
Other 8 23%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 23%
Biochemistry, Genetics and Molecular Biology 6 17%
Immunology and Microbiology 6 17%
Medicine and Dentistry 5 14%
Chemistry 3 9%
Other 2 6%
Unknown 5 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 05 January 2023.
All research outputs
#4,879,757
of 23,485,296 outputs
Outputs from Methods in molecular biology
#1,413
of 13,156 outputs
Outputs of similar age
#51,771
of 284,688 outputs
Outputs of similar age from Methods in molecular biology
#55
of 338 outputs
Altmetric has tracked 23,485,296 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,156 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 88% 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 284,688 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 79% of its contemporaries.
We're also able to compare this research output to 338 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.