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RNA-seq reveals the pan-transcriptomic impact of attenuating the gliotoxin self-protection mechanism in Aspergillus fumigatus

Overview of attention for article published in BMC Genomics, October 2014
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Mentioned by

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2 X users
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1 Facebook page

Citations

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47 Dimensions

Readers on

mendeley
57 Mendeley
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2 CiteULike
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Title
RNA-seq reveals the pan-transcriptomic impact of attenuating the gliotoxin self-protection mechanism in Aspergillus fumigatus
Published in
BMC Genomics, October 2014
DOI 10.1186/1471-2164-15-894
Pubmed ID
Authors

Grainne O’Keeffe, Stephen Hammel, Rebecca A Owens, Thomas M Keane, David A Fitzpatrick, Gary W Jones, Sean Doyle

Abstract

Aspergillus fumigatus produces a number of secondary metabolites, one of which, gliotoxin, has been shown to exhibit anti-fungal activity. Thus, A. fumigatus must be able to protect itself against gliotoxin. Indeed one of the genes in the gliotoxin biosynthetic gene cluster in A. fumigatus, gliT, is required for self-protection against the toxin- however the global self-protection mechanism deployed is unclear. RNA-seq was employed to identify genes differentially regulated upon exposure to gliotoxin in A. fumigatus wild-type and A. fumigatus ∆gliT, a strain that is hypersensitive to gliotoxin.

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

Geographical breakdown

Country Count As %
Colombia 1 2%
Unknown 56 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 35%
Researcher 10 18%
Student > Bachelor 4 7%
Student > Master 4 7%
Student > Postgraduate 3 5%
Other 8 14%
Unknown 8 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 54%
Biochemistry, Genetics and Molecular Biology 7 12%
Immunology and Microbiology 4 7%
Medicine and Dentistry 2 4%
Computer Science 1 2%
Other 1 2%
Unknown 11 19%
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 15 October 2014.
All research outputs
#14,202,176
of 22,766,595 outputs
Outputs from BMC Genomics
#5,693
of 10,639 outputs
Outputs of similar age
#132,590
of 255,842 outputs
Outputs of similar age from BMC Genomics
#96
of 211 outputs
Altmetric has tracked 22,766,595 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,639 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 255,842 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 211 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.