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The Diverse Cellular and Animal Models to Decipher the Physiopathological Traits of Mycobacterium abscessus Infection

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, April 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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7 X users

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Title
The Diverse Cellular and Animal Models to Decipher the Physiopathological Traits of Mycobacterium abscessus Infection
Published in
Frontiers in Cellular and Infection Microbiology, April 2017
DOI 10.3389/fcimb.2017.00100
Pubmed ID
Authors

Audrey Bernut, Jean-Louis Herrmann, Diane Ordway, Laurent Kremer

Abstract

Mycobacterium abscessus represents an important respiratory pathogen among the rapidly-growing non-tuberculous mycobacteria. Infections caused by M. abscessus are increasingly found in cystic fibrosis (CF) patients and are often refractory to antibiotic therapy. The underlying immunopathological mechanisms of pathogenesis remain largely unknown. A major reason for the poor advances in M. abscessus research has been a lack of adequate models to study the acute and chronic stages of the disease leading to delayed progress of evaluation of therapeutic efficacy of potentially active antibiotics. However, the recent development of cellular models led to new insights in the interplay between M. abscessus with host macrophages as well as with amoebae, proposed to represent the environmental host and reservoir for non-tuberculous mycobacteria. The zebrafish embryo has also appeared as a useful alternative to more traditional models as it recapitulates the vertebrate immune system and, due to its optical transparency, allows a spatio-temporal visualization of the infection process in a living animal. More sophisticated immunocompromised mice have also been exploited recently to dissect the immune and inflammatory responses to M. abscessus. Herein, we will discuss the limitations, advantages and potential offered by these various models to study the pathophysiology of M. abscessus infection and to assess the preclinical efficacy of compounds active against this emerging human pathogen.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 15%
Student > Master 14 15%
Student > Ph. D. Student 12 13%
Student > Postgraduate 6 6%
Student > Bachelor 5 5%
Other 18 19%
Unknown 24 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 17%
Immunology and Microbiology 15 16%
Biochemistry, Genetics and Molecular Biology 14 15%
Medicine and Dentistry 9 10%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 9 10%
Unknown 26 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 July 2022.
All research outputs
#7,270,827
of 24,022,746 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#1,518
of 7,240 outputs
Outputs of similar age
#110,516
of 312,224 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#35
of 146 outputs
Altmetric has tracked 24,022,746 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,240 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done well, scoring higher than 78% of its peers.
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 312,224 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.