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Immunoinformatics

Overview of attention for book
Cover of 'Immunoinformatics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 A Brief Outline of the Immune System
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    Chapter 2 Cross Talk Between the Metabolic and Immune Systems
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    Chapter 3 Immunoinformatics: A Brief Review
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    Chapter 4 Immunoinformatics of the V, C, and G Domains: IMGT ® Definitive System for IG, TR and IgSF, MH, and MhSF
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    Chapter 5 IMGT/HLA and the Immuno Polymorphism Database
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    Chapter 6 Databases for T-Cell Epitopes
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    Chapter 7 Databases for B-Cell Epitopes
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    Chapter 8 Antigen–Antibody Interaction Database (AgAbDb): A Compendium of Antigen–Antibody Interactions
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    Chapter 9 Allergen Databases
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    Chapter 10 Prediction of Conformational B-Cell Epitopes
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    Chapter 11 Computational Prediction of B Cell Epitopes from Antigen Sequences
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    Chapter 12 Machine Learning-Based Methods for Prediction of Linear B-Cell Epitopes
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    Chapter 13 Mimotope-Based Prediction of B-Cell Epitopes
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    Chapter 14 Hybrid Methods for B-Cell Epitope Prediction
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    Chapter 15 Building Classifier Ensembles for B-Cell Epitope Prediction
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    Chapter 16 Multiplex Peptide-Based B Cell Epitope Mapping
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    Chapter 17 Classification of Human Leukocyte Antigen (HLA) Supertypes
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    Chapter 18 Customized Predictions of Peptide–MHC Binding and T-Cell Epitopes Using EPIMHC
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    Chapter 19 T-Cell Epitope Prediction Methods: An Overview
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    Chapter 20 Computational Antigenic Epitope Prediction by Calculating Electrostatic Desolvation Penalties of Protein Surfaces
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    Chapter 21 In Silico Prediction of Allergenic Proteins
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    Chapter 22 Prediction of Virulence Factors Using Bioinformatics Approaches
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    Chapter 23 A Systems Biology Approach to Study Systemic Inflammation
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    Chapter 24 Procedures for Mucosal Immunization and Analyses of Cellular Immune Response to Candidate HIV Vaccines in Murine and Nonhuman Primate Models
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    Chapter 25 Immunoinformatics and Systems Biology in Personalized Medicine
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    Chapter 26 The Role of Small RNAs in Vaccination
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    Chapter 27 Structure-Based Clustering of Major Histocompatibility Complex (MHC) Proteins for Broad-Based T-Cell Vaccine Design
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    Chapter 28 Immunoinformatics, Molecular Modeling, and Cancer Vaccines
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    Chapter 29 Investigating Host–Pathogen Behavior and Their Interaction Using Genome-Scale Metabolic Network Models
  31. Altmetric Badge
    Chapter 30 Mathematical Models of HIV Replication and Pathogenesis
Attention for Chapter 17: Classification of Human Leukocyte Antigen (HLA) Supertypes
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Mentioned by

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2 tweeters

Citations

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8 Dimensions

Readers on

mendeley
21 Mendeley
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Chapter title
Classification of Human Leukocyte Antigen (HLA) Supertypes
Chapter number 17
Book title
Immunoinformatics
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-1115-8_17
Pubmed ID
Book ISBNs
978-1-4939-1114-1, 978-1-4939-1115-8
Authors

Mingjun Wang, Mogens H. Claesson

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 24%
Researcher 5 24%
Student > Ph. D. Student 3 14%
Student > Bachelor 2 10%
Other 1 5%
Other 2 10%
Unknown 3 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 24%
Immunology and Microbiology 5 24%
Agricultural and Biological Sciences 3 14%
Neuroscience 2 10%
Nursing and Health Professions 1 5%
Other 1 5%
Unknown 4 19%

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 23 August 2017.
All research outputs
#6,891,201
of 11,648,047 outputs
Outputs from Methods in molecular biology
#2,283
of 8,065 outputs
Outputs of similar age
#133,349
of 252,425 outputs
Outputs of similar age from Methods in molecular biology
#3
of 3 outputs
Altmetric has tracked 11,648,047 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,065 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 70% 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 252,425 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.