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Peptide Microarrays

Overview of attention for book
Cover of 'Peptide Microarrays'

Table of Contents

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    Book Overview
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    Chapter 1 Applications of Peptide Microarrays in Autoantibody, Infection, and Cancer Detection
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    Chapter 2 Peptide Microarrays for Studying Autoantibodies in Neurological Disease
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    Chapter 3 A Bifunctional Polymeric Coating for the Co-Immobilization of Proteins and Peptides on Microarray Substrates
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    Chapter 4 Manufacturing of Peptide Microarrays Based on Catalyst-Free Click Chemistry
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    Chapter 5 Hybrid Peptide–Agarose Hydrogels for 3D Immunoassays
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    Chapter 6 Low-Cost Peptide Microarrays for Mapping Continuous Antibody Epitopes
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    Chapter 7 Fast Protocols for Characterizing Antibody–Peptide Binding
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    Chapter 8 Peptides and Anti-peptide Antibodies for Small- and Medium-Scale Peptide and Anti-peptide Affinity Microarrays
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    Chapter 9 One-Shot Generation of Epitope-Directed Monoclonal Antibodies to Multiple Nonoverlapping Targets: Peptide Selection, Antigen Preparation, and Epitope Mapping
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    Chapter 10 Peptide Microarray-Based Protein Interaction Studies Across Affinity Ranges: Enzyme Stalling, Cross-Linking, Depletion, and Neutralization
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    Chapter 11 Profiling of Multiple Matrix Metalloproteinases Activities in the Progression of Osteosarcoma by Peptide Microarray-Based Fluorescence Assay on Polymer Brush-Coated Zinc Oxide Nanorod Substrate
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    Chapter 12 Peptide Array-Based In Situ Fluorescence Assay for Profiling Multiple Matrix Metalloproteinase Activities
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    Chapter 13 Peptide-Based Sensor and Microfluidic Platform for IgG Antibody Detection by Differential Impedance Sensing
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    Chapter 14 Peptide Microarrays for Flavivirus Diagnosis
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    Chapter 15 Epitope Mapping on Microarrays Highlights a Sequence on the N Protein with Strong Immune Response in SARS-CoV-2 Patients
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    Chapter 16 IgE and IgG4 Epitope Mapping of Food Allergens with a Peptide Microarray Immunoassay
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    Chapter 17 Extracellular Vesicle Molecular Profiling for Diagnostic Purposes: An Application of Phage Display Technology
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    Chapter 18 Membrane-Sensing Peptides for Extracellular Vesicle Analysis
Attention for Chapter 17: Extracellular Vesicle Molecular Profiling for Diagnostic Purposes: An Application of Phage Display Technology
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Chapter title
Extracellular Vesicle Molecular Profiling for Diagnostic Purposes: An Application of Phage Display Technology
Chapter number 17
Book title
Peptide Microarrays
Published in
Methods in molecular biology, September 2022
DOI 10.1007/978-1-0716-2732-7_17
Pubmed ID
36152292
Book ISBNs
978-1-07-162731-0, 978-1-07-162732-7
Authors

Colombarolli, Stella Garcia, Vitali, Alberto, Sciandra, Francesca

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 25%
Other 1 25%
Unknown 2 50%
Readers by discipline Count As %
Materials Science 1 25%
Unknown 3 75%
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 24 September 2022.
All research outputs
#16,649,641
of 24,495,755 outputs
Outputs from Methods in molecular biology
#5,765
of 13,801 outputs
Outputs of similar age
#245,907
of 426,849 outputs
Outputs of similar age from Methods in molecular biology
#88
of 180 outputs
Altmetric has tracked 24,495,755 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,801 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 42nd percentile – i.e., 42% 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 426,849 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 180 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.

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