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Strain Variation in the Mycobacterium tuberculosis Complex: Its Role in Biology, Epidemiology and Control

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Cover of 'Strain Variation in the Mycobacterium tuberculosis Complex: Its Role in Biology, Epidemiology and Control'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 The Nature and Evolution of Genomic Diversity in the Mycobacterium tuberculosis Complex
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    Chapter 2 The Biology and Epidemiology of Mycobacterium canettii
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    Chapter 3 The Evolution of Strain Typing in the Mycobacterium tuberculosis Complex
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    Chapter 4 Genomic Epidemiology of Tuberculosis
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    Chapter 5 Biological and Epidemiological Consequences of MTBC Diversity
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    Chapter 6 The Biology and Epidemiology of Mycobacterium africanum
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    Chapter 7 Mycobacterium tuberculosis Complex Members Adapted to Wild and Domestic Animals. - PubMed - NCBI
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    Chapter 8 Evolution and Strain Variation in BCG
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    Chapter 9 Antigenic Variation and Immune Escape in the MTBC
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    Chapter 10 PE and PPE Genes: A Tale of Conservation and Diversity
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    Chapter 11 Epidemiology of Drug-Resistant Tuberculosis
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    Chapter 12 Evolution of Phenotypic and Molecular Drug Susceptibility Testing
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    Chapter 13 DNA Replication Fidelity in the Mycobacterium tuberculosis Complex. - PubMed - NCBI
  15. Altmetric Badge
    Chapter 14 Strain Diversity and the Evolution of Antibiotic Resistance
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    Chapter 15 Mathematical Models for the Epidemiology and Evolution of Mycobacterium tuberculosis
Attention for Chapter 4: Genomic Epidemiology of Tuberculosis
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Citations

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Chapter title
Genomic Epidemiology of Tuberculosis
Chapter number 4
Book title
Strain Variation in the Mycobacterium tuberculosis Complex: Its Role in Biology, Epidemiology and Control
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-3-319-64371-7_4
Pubmed ID
29116630
Book ISBNs
978-3-31-964369-4, 978-3-31-964371-7
Authors

Iñaki Comas, Comas, Iñaki

Abstract

The application of next generation sequencing technologies has opened the door to a new molecular epidemiology of tuberculosis, in which we can now look at transmission at a resolution not possible before. At the same time, new technical and analytical challenges have appeared, and we are still exploring the wider potential of this new technology. Whole genome sequencing in tuberculosis still requires bacterial cultures. Thus, although whole genome sequencing has revolutionized the interpretation of transmission patterns, it is not yet ready to be applied at the point-of-care. In this chapter, I will review the promises and challenges of genomic epidemiology, as well as some of the new questions that have arisen from the use of this new technology. In addition, I will examine the role of molecular epidemiology within the general frame of global tuberculosis control and how genomic epidemiology can contribute towards the elimination of the disease.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 21%
Researcher 12 19%
Student > Master 8 13%
Student > Bachelor 6 10%
Other 5 8%
Other 8 13%
Unknown 10 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 24%
Agricultural and Biological Sciences 8 13%
Medicine and Dentistry 7 11%
Immunology and Microbiology 6 10%
Mathematics 2 3%
Other 7 11%
Unknown 17 27%
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 30 March 2018.
All research outputs
#18,576,001
of 23,007,887 outputs
Outputs from Advances in experimental medicine and biology
#3,324
of 4,961 outputs
Outputs of similar age
#311,446
of 421,256 outputs
Outputs of similar age from Advances in experimental medicine and biology
#333
of 490 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,961 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.

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