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Using RNA-seq to determine the transcriptional landscape and the hypoxic response of the pathogenic yeast Candida parapsilosis

Overview of attention for article published in BMC Genomics, December 2011
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3 X users

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114 Mendeley
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3 CiteULike
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Title
Using RNA-seq to determine the transcriptional landscape and the hypoxic response of the pathogenic yeast Candida parapsilosis
Published in
BMC Genomics, December 2011
DOI 10.1186/1471-2164-12-628
Pubmed ID
Authors

Alessandro Guida, Claudia Lindstädt, Sarah L Maguire, Chen Ding, Desmond G Higgins, Nicola J Corton, Matthew Berriman, Geraldine Butler

Abstract

Candida parapsilosis is one of the most common causes of Candida infection worldwide. However, the genome sequence annotation was made without experimental validation and little is known about the transcriptional landscape. The transcriptional response of C. parapsilosis to hypoxic (low oxygen) conditions, such as those encountered in the host, is also relatively unexplored.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
France 1 <1%
Italy 1 <1%
Belgium 1 <1%
United States 1 <1%
Luxembourg 1 <1%
Poland 1 <1%
Unknown 106 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 30%
Researcher 24 21%
Student > Master 18 16%
Student > Doctoral Student 8 7%
Student > Bachelor 5 4%
Other 15 13%
Unknown 10 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 54%
Biochemistry, Genetics and Molecular Biology 21 18%
Medicine and Dentistry 6 5%
Chemistry 3 3%
Social Sciences 3 3%
Other 7 6%
Unknown 12 11%
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 13 November 2012.
All research outputs
#14,562,219
of 23,321,213 outputs
Outputs from BMC Genomics
#5,760
of 10,742 outputs
Outputs of similar age
#155,968
of 245,829 outputs
Outputs of similar age from BMC Genomics
#153
of 295 outputs
Altmetric has tracked 23,321,213 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 10,742 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 245,829 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 295 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.