↓ Skip to main content


Overview of attention for book
Cover of 'Immunoinformatics'

Table of Contents

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

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

2 tweeters


8 Dimensions

Readers on

21 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Classification of Human Leukocyte Antigen (HLA) Supertypes
Chapter number 17
Book title
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

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
of 11,648,047 outputs
Outputs from Methods in molecular biology
of 8,065 outputs
Outputs of similar age
of 252,425 outputs
Outputs of similar age from Methods in molecular biology
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.