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Bacterial Persistence

Overview of attention for book
Cover of 'Bacterial Persistence'

Table of Contents

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    Book Overview
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    Chapter 1 Bacterial Persistence
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    Chapter 2 Persisters: Methods for Isolation and Identifying Contributing Factors-A Review.
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    Chapter 3 Bacterial Persistence
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    Chapter 4 Bacterial Persistence
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    Chapter 5 A Microplate-Based System as In Vitro Model of Biofilm Growth and Quantification.
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    Chapter 6 Protocol for Determination of the Persister Subpopulation in Candida Albicans Biofilms.
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    Chapter 7 Bacterial Persistence
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    Chapter 8 Bacterial Persistence
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    Chapter 9 Single-Cell Detection and Collection of Persister Bacteria in a Directly Accessible Femtoliter Droplet Array.
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    Chapter 10 A Whole-Cell-Based High-Throughput Screening Method to Identify Molecules Targeting Pseudomonas aeruginosa Persister Cells.
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    Chapter 11 Functional Analysis of the Role of Toxin-Antitoxin (TA) Loci in Bacterial Persistence.
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    Chapter 12 Experimental Evolution of Escherichia coli Persister Levels Using Cyclic Antibiotic Treatments
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    Chapter 13 In Vitro Models for the Study of the Intracellular Activity of Antibiotics
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    Chapter 14 Bacterial Persistence
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    Chapter 15 Bacterial Persistence
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    Chapter 16 Population Dynamics Analysis of Ciprofloxacin-Persistent S. Typhimurium Cells in a Mouse Model for Salmonella Diarrhea.
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    Chapter 17 Bacterial Persistence
Attention for Chapter 4: Bacterial Persistence
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Citations

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Chapter title
Bacterial Persistence
Chapter number 4
Book title
Bacterial Persistence
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-2854-5_4
Pubmed ID
26468098
Book ISBNs
978-1-4939-2853-8, 978-1-4939-2854-5
Authors

Goormaghtigh, F, Van Melderen, L, F. Goormaghtigh, L. Van Melderen, Goormaghtigh, F., Melderen, L. Van

Abstract

Monitoring persister cells can be extremely difficult due to their transient and stochastic nature, their low abundance, and their resemblance to Viable But Non-Culturable Cells (VBNCs). To date, the predominant method consists of determining the survival rate of a bacterial population after antibiotic treatment as a function of time or antibiotic concentration. Unfortunately, this method is limited, as it shows high levels of dispersion of the data around the mean, making interpretation difficult. Furthermore, additional reproducibility problems arise from the lack of a standard method, different research groups using different protocols. Here, we describe a standard and optimized method for monitoring E. coli persister cells at the population level allowing for maximal reproducibility.

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

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 30%
Student > Master 4 17%
Researcher 3 13%
Student > Ph. D. Student 2 9%
Unspecified 1 4%
Other 2 9%
Unknown 4 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 22%
Agricultural and Biological Sciences 4 17%
Immunology and Microbiology 3 13%
Environmental Science 1 4%
Nursing and Health Professions 1 4%
Other 4 17%
Unknown 5 22%
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 09 July 2016.
All research outputs
#20,335,423
of 22,880,230 outputs
Outputs from Methods in molecular biology
#9,918
of 13,132 outputs
Outputs of similar age
#330,756
of 393,712 outputs
Outputs of similar age from Methods in molecular biology
#1,054
of 1,471 outputs
Altmetric has tracked 22,880,230 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 13,132 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.
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We're also able to compare this research output to 1,471 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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