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A High-resolution Typing Assay for Uropathogenic Escherichia coli Based on Fimbrial Diversity

Overview of attention for article published in Frontiers in Microbiology, April 2016
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Title
A High-resolution Typing Assay for Uropathogenic Escherichia coli Based on Fimbrial Diversity
Published in
Frontiers in Microbiology, April 2016
DOI 10.3389/fmicb.2016.00623
Pubmed ID
Authors

Yi Ren, Agata Palusiak, Wei Wang, Yi Wang, Xiao Li, Huiting Wei, Qingke Kong, Antoni Rozalski, Zhi Yao, Quan Wang

Abstract

Urinary tract infections (UTIs) are one of the most common bacterial infections in humans, causing cystitis, pyelonephritis, and renal failure. Uropathogenic Escherichia coli (UPEC) is the leading cause of UTIs. Accurate and rapid discrimination of UPEC lineages is useful for epidemiological surveillance. Fimbriae are necessary for the adherence of UPEC strains to host uroepithelia, and seem to be abundant and diverse in UPEC strains. By analyzing all the possible fimbrial operons in UPEC strains, we found that closely related strains had similar types of chaperone-usher fimbriae, and the diversity of fimbrial genes was higher than that of multilocus sequence typing (MLST) genes. A typing assay based on the polymorphism of four gene sequences (three fimbrial genes and one housekeeping gene) and the diversity of fimbriae present was developed. By comparison with the MLST, whole-genome sequence (WGS) and fumC/fimH typing methods, this was shown to be accurate and have high resolution, and it was also relatively inexpensive and easy to perform. The assay can supply more discriminatory information for UPEC lineages, and have the potential to be applied in epidemiological surveillance of UPEC isolates.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 26%
Student > Master 7 23%
Researcher 5 16%
Student > Bachelor 3 10%
Professor 1 3%
Other 3 10%
Unknown 4 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 29%
Agricultural and Biological Sciences 5 16%
Immunology and Microbiology 5 16%
Chemistry 2 6%
Environmental Science 2 6%
Other 4 13%
Unknown 4 13%
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 29 April 2016.
All research outputs
#20,323,943
of 22,867,327 outputs
Outputs from Frontiers in Microbiology
#22,477
of 24,877 outputs
Outputs of similar age
#253,361
of 299,065 outputs
Outputs of similar age from Frontiers in Microbiology
#478
of 567 outputs
Altmetric has tracked 22,867,327 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 24,877 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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