↓ Skip to main content

Importance of Metabolic Adaptations in Francisella Pathogenesis

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, March 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
45 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Importance of Metabolic Adaptations in Francisella Pathogenesis
Published in
Frontiers in Cellular and Infection Microbiology, March 2017
DOI 10.3389/fcimb.2017.00096
Pubmed ID
Authors

Jason Ziveri, Monique Barel, Alain Charbit

Abstract

Francisella tularensis is a highly infectious Gram-negative bacterium and the causative agent of the zoonotic disease tularemia. This bacterial pathogen can infect a broad variety of animal species and can be transmitted to humans in numerous ways with various clinical outcomes. Although, Francisella possesses the capacity to infect numerous mammalian cell types, the macrophage constitutes the main intracellular niche, used for in vivo bacterial dissemination. To survive and multiply within infected macrophages, Francisella must imperatively escape from the phagosomal compartment. In the cytosol, the bacterium needs to control the host innate immune response and adapt its metabolism to this nutrient-restricted niche. Our laboratory has shown that intracellular Francisella mainly relied on host amino acid as major gluconeogenic substrates and provided evidence that the host metabolism was also modified upon Francisella infection. We will review here our current understanding of how Francisella copes with the available nutrient sources provided by the host cell during the course of infection.

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Student > Master 6 13%
Researcher 4 9%
Professor > Associate Professor 4 9%
Student > Bachelor 3 7%
Other 9 20%
Unknown 9 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 24%
Immunology and Microbiology 10 22%
Biochemistry, Genetics and Molecular Biology 5 11%
Veterinary Science and Veterinary Medicine 3 7%
Environmental Science 1 2%
Other 4 9%
Unknown 11 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 March 2017.
All research outputs
#15,400,836
of 22,961,203 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#3,571
of 6,463 outputs
Outputs of similar age
#192,949
of 308,511 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#89
of 143 outputs
Altmetric has tracked 22,961,203 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,463 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 44th percentile – i.e., 44% 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 308,511 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.