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Biophysics of Infection

Overview of attention for book
Cover of 'Biophysics of Infection'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Biophysics of Infection
  3. Altmetric Badge
    Chapter 2 Biophysics of Infection
  4. Altmetric Badge
    Chapter 3 Biophysics of Infection
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    Chapter 4 Biophysics of Infection
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    Chapter 5 Evolution of Drug Resistance in Bacteria
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    Chapter 6 Using Biophysics to Monitor the Essential Protonmotive Force in Bacteria.
  8. Altmetric Badge
    Chapter 7 Biophysics of Infection
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    Chapter 8 Biophysics of Infection
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    Chapter 9 Biophysics of Infection
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    Chapter 10 Bacterial Surfaces: Front Lines in Host-Pathogen Interaction.
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    Chapter 11 Biophysical Approaches to Bacterial Gene Regulation by Riboswitches
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    Chapter 12 Biophysics of Infection
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    Chapter 13 Transcription Regulation and Membrane Stress Management in Enterobacterial Pathogens.
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    Chapter 14 Biophysics of Infection
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    Chapter 15 Biophysics of Infection
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    Chapter 16 Neutron Reflectivity as a Tool for Physics-Based Studies of Model Bacterial Membranes
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    Chapter 17 Mechanisms of Salmonella Typhi Host Restriction.
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    Chapter 18 Biophysics of Infection
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    Chapter 19 Force Spectroscopy in Studying Infection.
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    Chapter 20 Biophysics of Infection
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    Chapter 21 Biophysics of Infection
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    Chapter 22 Erratum to: The Type I Restriction Enzymes as Barriers to Horizontal Gene Transfer: Determination of the DNA Target Sequences Recognised by Livestock-Associated Methicillin-Resistant Staphylococcus aureus Clonal Complexes 133/ST771 and 398
Attention for Chapter 3: Biophysics of Infection
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Chapter title
Biophysics of Infection
Chapter number 3
Book title
Biophysics of Infection
Published in
Advances in experimental medicine and biology, May 2016
DOI 10.1007/978-3-319-32189-9_3
Pubmed ID
Book ISBNs
978-3-31-932187-5, 978-3-31-932189-9
Authors

Thornton, K L, Findlay, R C, Walrad, P B, Wilson, L G, K. L. Thornton, R. C. Findlay, P. B. Walrad, L. G. Wilson, Thornton, K. L., Findlay, R. C., Walrad, P. B., Wilson, L. G.

Editors

Mark C. Leake

Abstract

To understand much of the behaviour of microbial pathogens, it is necessary to image living cells, their interactions with each other and with host cells. Species such as Escherichia coli are difficult subjects to image: they are typically microscopic, colourless and transparent. Traditional cell visualisation techniques such as fluorescent tagging or phase-contrast microscopy give excellent information on cell behaviour in two dimensions, but no information about cells moving in three dimensions. We review the use of digital holographic microscopy for three-dimensional imaging at high speeds, and demonstrate its use for capturing the shape and swimming behaviour of three important model pathogens: E. coli, Plasmodium spp. and Leishmania spp.

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

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 26%
Researcher 6 14%
Student > Bachelor 5 12%
Student > Master 5 12%
Other 4 9%
Other 6 14%
Unknown 6 14%
Readers by discipline Count As %
Physics and Astronomy 7 16%
Agricultural and Biological Sciences 5 12%
Biochemistry, Genetics and Molecular Biology 5 12%
Engineering 5 12%
Medicine and Dentistry 4 9%
Other 10 23%
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 22 April 2017.
All research outputs
#17,805,172
of 22,873,031 outputs
Outputs from Advances in experimental medicine and biology
#3,103
of 4,951 outputs
Outputs of similar age
#236,476
of 334,143 outputs
Outputs of similar age from Advances in experimental medicine and biology
#84
of 134 outputs
Altmetric has tracked 22,873,031 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 4,951 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 33rd percentile – i.e., 33% 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 334,143 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.