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Detection of Medically Important Candida Species by Absolute Quantitation Real-Time Polymerase Chain Reaction

Overview of attention for article published in Jundishapur Journal of Microbiology, December 2014
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Title
Detection of Medically Important <i>Candida</i> Species by Absolute Quantitation Real-Time Polymerase Chain Reaction
Published in
Jundishapur Journal of Microbiology, December 2014
DOI 10.5812/jjm.14940
Pubmed ID
Authors

Leslie Thian Lung Than, Pei Pei Chong, Kee Peng Ng, Heng Fong Seow

Abstract

The number of invasive candidiasis cases has risen especially with an increase in the number of immunosuppressed and immunocom promised patients. The early detection of Candida species which is specific and sensitive is important in determining the correct administration of antifungal drugs to patients.

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The data shown below were collected from the profile of 1 X user 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 37%
Professor 4 21%
Student > Bachelor 3 16%
Professor > Associate Professor 2 11%
Student > Ph. D. Student 1 5%
Other 2 11%
Readers by discipline Count As %
Medicine and Dentistry 8 42%
Agricultural and Biological Sciences 7 37%
Immunology and Microbiology 2 11%
Biochemistry, Genetics and Molecular Biology 1 5%
Neuroscience 1 5%
Other 0 0%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 March 2015.
All research outputs
#20,265,771
of 22,796,179 outputs
Outputs from Jundishapur Journal of Microbiology
#151
of 265 outputs
Outputs of similar age
#302,675
of 361,341 outputs
Outputs of similar age from Jundishapur Journal of Microbiology
#8
of 14 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 265 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 1st percentile – i.e., 1% 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 361,341 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.