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Attention Score in Context
| 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 2% |
| Unknown | 49 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 22% |
| Student > Master | 6 | 12% |
| Student > Bachelor | 4 | 8% |
| Student > Ph. D. Student | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 15 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 18% |
| Agricultural and Biological Sciences | 9 | 18% |
| Biochemistry, Genetics and Molecular Biology | 8 | 16% |
| Chemistry | 2 | 4% |
| Immunology and Microbiology | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 14 | 28% |
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
#5,446,210
of 25,371,288 outputs
Outputs from Applied and Environmental Microbiology
#4,301
of 19,160 outputs
Outputs of similar age
#47,712
of 223,705 outputs
Outputs of similar age from Applied and Environmental Microbiology
#39
of 164 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 19,160 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 64% 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 223,705 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 164 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 69% of its contemporaries.