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Overview of carbon and nitrogen catabolite metabolism in the virulence of human pathogenic fungi

Overview of attention for article published in Molecular Microbiology, December 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
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10 X users
facebook
1 Facebook page

Readers on

mendeley
117 Mendeley
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Article details
Title
Overview of carbon and nitrogen catabolite metabolism in the virulence of human pathogenic fungi
Published in
Molecular Microbiology, December 2017
DOI 10.1111/mmi.13887
Pubmed ID
Authors
Abstract

It is estimated that fungal infections, caused most commonly by Candida albicans, Aspergillus fumigatus and Cryptococcus neoformans, result in more deaths annually than malaria or tuberculosis. It has long been hypothesized the fungal metabolism plays a critical role in virulence though specific nutrient sources utilized by human pathogenic fungi in vivo has remained enigmatic. However, the metabolic utilisation of preferred carbon and nitrogen sources, encountered in a host niche-dependent manner, is known as carbon catabolite and nitrogen catabolite repression (CCR, NCR), and has been shown to be important for virulence. Several sensory and uptake systems exist, including carbon and nitrogen source-specific sensors and transporters, that allow scavenging of preferred nutrient sources. Subsequent metabolic utilisation is governed by transcription factors, whose functions and essentiality differ between fungal species. Furthermore, additional factors exist that contribute to the implementation of CCR and NCR. The role of the CCR and NCR-related factors in virulence varies greatly between fungal species and a substantial gap in knowledge exists regarding specific pathways. Further elucidation of carbon and nitrogen metabolism mechanisms is therefore required in a fungal species- and animal model-specific manner in order to screen for targets that are potential candidates for anti-fungal drug development. This article is protected by copyright. All rights reserved.

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X Demographics

X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 25 21%
Researcher 16 14%
Student > Bachelor 11 9%
Student > Master 11 9%
Student > Doctoral Student 5 4%
Other 14 12%
Unknown 35 30%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 27 23%
Biochemistry, Genetics and Molecular Biology 22 19%
Immunology and Microbiology 14 12%
Environmental Science 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 9 8%
Unknown 39 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 03 May 2025.
All research outputs
#2,857,646
of 32,627,473 outputs
Outputs from Molecular Microbiology
#257
of 7,722 outputs
Outputs of similar age
#50,386
of 482,647 outputs
Outputs of similar age from Molecular Microbiology
#10
of 64 outputs
Altmetric has tracked 32,627,473 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,722 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 96% 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 482,647 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.