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High-throughput single-nucleotide polymorphism-based typing of shared Pseudomonas aeruginosa strains in cystic fibrosis patients using the Sequenom iPLEX platform

Overview of attention for article published in Journal of Medical Microbiology, February 2013
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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1 Wikipedia page

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Title
High-throughput single-nucleotide polymorphism-based typing of shared Pseudomonas aeruginosa strains in cystic fibrosis patients using the Sequenom iPLEX platform
Published in
Journal of Medical Microbiology, February 2013
DOI 10.1099/jmm.0.055905-0
Pubmed ID
Authors

Melanie W Syrmis, Ralf J Moser, Timothy J Kidd, Priscilla Hunt, Kay A Ramsay, Scott C Bell, Claire E Wainwright, Keith Grimwood, Michael D Nissen, Theo P Sloots, David M Whiley

Abstract

Shared strains of Pseudomonas aeruginosa are now well recognized in people with cystic fibrosis (CF), and suitable P. aeruginosa laboratory typing tools are pivotal to understanding their clinical significance and guiding infection control policies in CF clinics. We therefore compared a single-nucleotide polymorphism (SNP)-based typing method using Sequenom iPLEX matrix-assisted laser desorption ionization with time-of-flight mass spectrometry (MALDI-TOF MS) with typing methods used routinely by our laboratory. We analysed 617 P. aeruginosa isolates that included 561 isolates from CF patients collected between 2001 and 2009 in two Brisbane CF clinics and typed previously by enterobacterial repetitive intergenic consensus (ERIC)-PCR, as well as 56 isolates from non-CF patients analysed previously by multilocus sequence typing (MLST). The isolates were tested using a P. aeruginosa Sequenom iPLEX MALDI-TOF (PA iPLEX) method comprising two multiplex reactions, a 13-plex and an 8-plex, to characterize 20 SNPs from the P. aeruginosa housekeeping genes acsA, aroE, guaA, mutL, nuoD, ppsA and trpE. These 20 SNPs were employed previously in a real-time format involving 20 separate assays in our laboratory. The SNP analysis revealed 121 different SNP profiles for the 561 CF isolates. Overall, there was at least 96% agreement between the ERIC-PCR and SNP analyses for all predominant shared strains among patients attending our CF clinics: AUST-01, AUST-02 and AUST-06. For the less frequently encountered shared strain AUST-07, 6/25 (24%) ERIC-PCR profiles were misidentified initially as AUST-02 or as unique, illustrating the difficulty of gel-based analyses. SNP results for the 56 non-CF isolates were consistent with previous MLST data. Thus, the PA iPLEX format provides an attractive high-throughput alternative to ERIC-PCR for large-scale investigations of shared P. aeruginosa strains.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 5%
United States 1 5%
Estonia 1 5%
Unknown 19 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 41%
Student > Ph. D. Student 3 14%
Student > Postgraduate 3 14%
Student > Doctoral Student 1 5%
Student > Master 1 5%
Other 3 14%
Unknown 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 32%
Biochemistry, Genetics and Molecular Biology 3 14%
Medicine and Dentistry 3 14%
Veterinary Science and Veterinary Medicine 2 9%
Immunology and Microbiology 2 9%
Other 2 9%
Unknown 3 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 July 2015.
All research outputs
#7,779,140
of 25,377,790 outputs
Outputs from Journal of Medical Microbiology
#799
of 2,960 outputs
Outputs of similar age
#80,540
of 296,606 outputs
Outputs of similar age from Journal of Medical Microbiology
#6
of 24 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,960 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 72% 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 296,606 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 24 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 70% of its contemporaries.