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Aspergillus Collagen-Like Genes (acl): Identification, Sequence Polymorphism, and Assessment for PCR-Based Pathogen Detection

Overview of attention for article published in Applied and Environmental Microbiology, October 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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1 policy source
patent
1 patent

Citations

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11 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Aspergillus Collagen-Like Genes (acl): Identification, Sequence Polymorphism, and Assessment for PCR-Based Pathogen Detection
Published in
Applied and Environmental Microbiology, October 2013
DOI 10.1128/aem.02835-13
Pubmed ID
Authors

Kiril Tuntevski, Brandon C. Durney, Anna K. Snyder, P. Rocco LaSala, Ajay P. Nayak, Brett J. Green, Donald H. Beezhold, Rita V. M. Rio, Lisa A. Holland, Slawomir Lukomski

Abstract

The genus Aspergillus is a burden to public health due to its ubiquitous presence in the environment, its production of allergens, and wide demographic susceptibility among cystic fibrosis, asthmatic, and immunosuppressed patients. Current methods of detection of Aspergillus colonization and infection rely on lengthy morphological characterization or nonstandardized serological assays that are restricted to identifying a fungal etiology. Collagen-like genes have been shown to exhibit species-specific conservation across the noncollagenous regions as well as strain-specific polymorphism in the collagen-like regions. Here we assess the conserved region of the Aspergillus collagen-like (acl) genes and explore the application of PCR amplicon size-based discrimination among the five most common etiologic species of the Aspergillus genus, including Aspergillus fumigatus, A. flavus, A. nidulans, A. niger, and A. terreus. Genetic polymorphism and phylogenetic analysis of the aclF1 gene were additionally examined among the available strains. Furthermore, the applicability of the PCR-based assay to identification of these five species in cultures derived from sputum and bronchoalveolar fluid from 19 clinical samples was explored. Application of capillary electrophoresis on nanogels was additionally demonstrated to improve the discrimination between Aspergillus species. Overall, this study demonstrated that Aspergillus acl genes could be used as PCR targets to discriminate between clinically relevant Aspergillus species. Future studies aim to utilize the detection of Aspergillus acl genes in PCR and microfluidic applications to determine the sensitivity and specificity for the identification of Aspergillus colonization and invasive aspergillosis in immunocompromised subjects.

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Master 6 16%
Student > Bachelor 3 8%
Student > Ph. D. Student 3 8%
Unspecified 2 5%
Other 8 21%
Unknown 9 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 24%
Medicine and Dentistry 8 21%
Biochemistry, Genetics and Molecular Biology 5 13%
Chemistry 2 5%
Unspecified 2 5%
Other 5 13%
Unknown 7 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 April 2014.
All research outputs
#2,190,247
of 12,508,562 outputs
Outputs from Applied and Environmental Microbiology
#1,908
of 9,509 outputs
Outputs of similar age
#61,651
of 265,344 outputs
Outputs of similar age from Applied and Environmental Microbiology
#57
of 151 outputs
Altmetric has tracked 12,508,562 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,509 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 70% 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 265,344 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 76% of its contemporaries.
We're also able to compare this research output to 151 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 61% of its contemporaries.