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Antibiotic Resistance Protocols

Overview of attention for book
Cover of 'Antibiotic Resistance Protocols'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Methods for Measuring the Production of Quorum Sensing Signal Molecules
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    Chapter 2 Construction and Use of Staphylococcus aureus Strains to Study Within-Host Infection Dynamics
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    Chapter 3 Method for Detecting and Studying Genome-Wide Mutations in Single Living Cells in Real Time
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    Chapter 4 Detecting Phenotypically Resistant Mycobacterium tuberculosis Using Wavelength Modulated Raman Spectroscopy
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    Chapter 5 A Flow Cytometry Method for Assessing M. tuberculosis Responses to Antibiotics
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    Chapter 6 Application of Continuous Culture for Assessing Antibiotic Activity Against Mycobacterium tuberculosis
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    Chapter 7 Real-Time Digital Bright Field Technology for Rapid Antibiotic Susceptibility Testing
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    Chapter 8 Enhanced Methodologies for Detecting Phenotypic Resistance in Mycobacteria
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    Chapter 9 Methods to Determine Mutational Trajectories After Experimental Evolution of Antibiotic Resistance
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    Chapter 10 Selection of ESBL-Producing E. coli in a Mouse Intestinal Colonization Model
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    Chapter 11 Transcriptional Profiling Mycobacterium tuberculosis from Patient Sputa
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    Chapter 12 Direct in Gel Genomic Detection of Antibiotic Resistance Genes in S1 Pulsed Field Electrophoresis Gels
  14. Altmetric Badge
    Chapter 13 Using RT qPCR for Quantifying Mycobacteria marinum from In Vitro and In Vivo Samples
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    Chapter 14 Use of Larval Zebrafish Model to Study Within-Host Infection Dynamics
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    Chapter 15 A Method to Evaluate Persistent Mycobacterium tuberculosis In Vitro and in the Cornell Mouse Model of Tuberculosis
Attention for Chapter 6: Application of Continuous Culture for Assessing Antibiotic Activity Against Mycobacterium tuberculosis
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Chapter title
Application of Continuous Culture for Assessing Antibiotic Activity Against Mycobacterium tuberculosis
Chapter number 6
Book title
Antibiotic Resistance Protocols
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7638-6_6
Pubmed ID
29322459
Book ISBNs
978-1-4939-7636-2, 978-1-4939-7638-6
Authors

Charlotte L. Hendon-Dunn, Saba Anwar, Christopher Burton, Joanna Bacon

Abstract

There is a proportion of the M. tuberculosis population that is refractory to the bactericidal action of antituberculosis antibiotics due to phenotypic tolerance. This tolerance can be impacted by environmental stimuli and the subsequent physiological state of the organism. It may be the result of preexisting populations of slow growing/non replicating bacteria that are protected from antibiotic action. It still remains unclear how the slow growth of M. tuberculosis contributes to antibiotic resistance and antibiotic tolerance. Here, we present a method for assessing the activity of antibiotics against M. tuberculosis using continuous culture, which is the only system that can be used to control bacterial growth rate and study the impact of slow or fast growth on the organism's response to antibiotic exposure.

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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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Student > Bachelor 3 17%
Student > Master 2 11%
Researcher 2 11%
Professor 1 6%
Other 1 6%
Unknown 5 28%
Readers by discipline Count As %
Immunology and Microbiology 4 22%
Agricultural and Biological Sciences 4 22%
Biochemistry, Genetics and Molecular Biology 2 11%
Chemical Engineering 1 6%
Medicine and Dentistry 1 6%
Other 1 6%
Unknown 5 28%
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 13 January 2018.
All research outputs
#20,458,307
of 23,015,156 outputs
Outputs from Methods in molecular biology
#9,945
of 13,165 outputs
Outputs of similar age
#378,187
of 442,344 outputs
Outputs of similar age from Methods in molecular biology
#1,193
of 1,498 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,165 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 442,344 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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