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Bacterial Persistence

Overview of attention for book
Cover of 'Bacterial Persistence'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Bacterial Persistence
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    Chapter 2 Persisters: Methods for Isolation and Identifying Contributing Factors-A Review.
  4. Altmetric Badge
    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.
  18. Altmetric Badge
    Chapter 17 Bacterial Persistence
Attention for Chapter 1: Bacterial Persistence
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Chapter title
Bacterial Persistence
Chapter number 1
Book title
Bacterial Persistence
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-2854-5_1
Pubmed ID
Book ISBNs
978-1-4939-2853-8, 978-1-4939-2854-5
Authors

Verstraeten, Natalie, Knapen, Wouter, Fauvart, Maarten, Michiels, Jan, Natalie Verstraeten, Wouter Knapen, Maarten Fauvart, Jan Michiels

Abstract

Bactericidal antibiotics quickly kill the majority of a bacterial population. However, a small fraction of cells typically survive through entering the so-called persister state. Persister cells are increasingly being viewed as a major cause of the recurrence of chronic infectious disease and could be an important factor in the emergence of antibiotic resistance. The phenomenon of persistence was first described in the 1940s, but remained poorly understood for decades afterwards. Only recently, a series of breakthrough discoveries has started to shed light on persister physiology and the molecular and genetic underpinnings of persister formation. We here provide an overview of the key studies that have paved the way for the current boom in persistence research, with a special focus on the technological and methodological advances that have enabled this progress.

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

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 25%
Student > Bachelor 8 18%
Researcher 7 16%
Student > Ph. D. Student 5 11%
Student > Doctoral Student 2 5%
Other 4 9%
Unknown 7 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 27%
Biochemistry, Genetics and Molecular Biology 12 27%
Immunology and Microbiology 5 11%
Computer Science 2 5%
Environmental Science 1 2%
Other 5 11%
Unknown 7 16%
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 06 July 2016.
All research outputs
#18,349,015
of 23,577,761 outputs
Outputs from Methods in molecular biology
#7,519
of 13,410 outputs
Outputs of similar age
#271,813
of 397,072 outputs
Outputs of similar age from Methods in molecular biology
#781
of 1,472 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,410 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 38th percentile – i.e., 38% 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 397,072 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,472 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.