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A new look at the drug-resistance investigation of uropathogenic E. coli strains

Overview of attention for article published in Molecular Biology Reports, January 2017
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Title
A new look at the drug-resistance investigation of uropathogenic E. coli strains
Published in
Molecular Biology Reports, January 2017
DOI 10.1007/s11033-017-4099-y
Pubmed ID
Authors

Wioletta Adamus-Białek, Łukasz Lechowicz, Anna B. Kubiak-Szeligowska, Monika Wawszczak, Ewelina Kamińska, Magdalena Chrapek

Abstract

Bacterial drug resistance and uropathogenic tract infections are among the most important issues of current medicine. Uropathogenic Escherichia coli strains are the primary factor of this issue. This article is the continuation of the previous study, where we used Kohonen relations to predict the direction of drug resistance. The characterized collection of uropathogenic E. coli strains was used for microbiological (the disc diffusion method for antimicrobial susceptibility testing), chemical (ATR/FT-IR) and mathematical (artificial neural networks, Ward's hierarchical clustering method, the analysis of distributions of inhibition zone diameters for antibiotics, Cohen's kappa measure of agreement) analysis. This study presents other potential tools for the epidemiological differentiation of E. coli strains. It is noteworthy that ATR/FT-IR technique has turned out to be useful for the quick and simple identification of MDR strains. Also, diameter zones of resistance of this E. coli population were compared to the population of E. coli strains published by EUCAST. We observed the bacterial behaviors toward particular antibiotics in comparison to EUCAST bacterial collections. Additionally, we used Cohen's kappa to show which antibiotics from the same class are closely related to each other and which are not. The presented associations between antibiotics may be helpful in selecting the proper therapy directions. Here we present an adaptation of interdisciplinary studies of drug resistance of E. coli strains for epidemiological and clinical investigations. The obtained results may be some indication in deciding on antibiotic therapy.

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Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Student > Bachelor 5 20%
Student > Master 3 12%
Researcher 3 12%
Unspecified 2 8%
Other 6 24%
Readers by discipline Count As %
Medicine and Dentistry 8 32%
Unspecified 5 20%
Immunology and Microbiology 5 20%
Biochemistry, Genetics and Molecular Biology 3 12%
Agricultural and Biological Sciences 2 8%
Other 2 8%

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 03 February 2017.
All research outputs
#6,860,703
of 9,003,777 outputs
Outputs from Molecular Biology Reports
#419
of 781 outputs
Outputs of similar age
#220,608
of 309,569 outputs
Outputs of similar age from Molecular Biology Reports
#1
of 1 outputs
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So far Altmetric has tracked 781 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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