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Performance comparison of phenotypic and molecular methods for detection and differentiation of Candida albicans and Candida dubliniensis

Overview of attention for article published in BMC Infectious Diseases, September 2012
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1 tweeter

Citations

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Title
Performance comparison of phenotypic and molecular methods for detection and differentiation of Candida albicans and Candida dubliniensis
Published in
BMC Infectious Diseases, September 2012
DOI 10.1186/1471-2334-12-230
Pubmed ID
Authors

Suhail Ahmad, Ziauddin Khan, Mohammad Asadzadeh, Ajmal Theyyathel, Rachel Chandy

Abstract

Candida albicans is the most pathogenic Candida species but shares many phenotypic features with Candida dubliniensis and may, therefore, be misidentified in clinical microbiology laboratories. Candidemia cases due to C. dubliniensis are increasingly being reported in recent years. Accurate identification is warranted since mortality rates are highest for C. albicans infections, however, C. dubliniensis has the propensity to develop resistance against azoles more easily. We developed a duplex PCR assay for rapid detection and differentiation of C. albicans from C. dubliniensis for resource-poor settings equipped with basic PCR technology and compared its performance with three phenotypic methods.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 20%
Student > Bachelor 7 11%
Researcher 6 10%
Student > Ph. D. Student 6 10%
Student > Postgraduate 5 8%
Other 16 26%
Unknown 9 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 39%
Medicine and Dentistry 12 20%
Immunology and Microbiology 6 10%
Biochemistry, Genetics and Molecular Biology 6 10%
Veterinary Science and Veterinary Medicine 2 3%
Other 2 3%
Unknown 9 15%

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 25 September 2012.
All research outputs
#20,167,959
of 22,679,690 outputs
Outputs from BMC Infectious Diseases
#6,423
of 7,642 outputs
Outputs of similar age
#152,735
of 171,685 outputs
Outputs of similar age from BMC Infectious Diseases
#82
of 105 outputs
Altmetric has tracked 22,679,690 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 7,642 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 105 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.