↓ Skip to main content

Rapid genotyping of Pseudomonas aeruginosa isolates harboured by adult and paediatric patients with cystic fibrosis using repetitive-element-based PCR assays

Overview of attention for article published in Journal of Medical Microbiology, November 2004
Altmetric Badge

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 (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

policy
1 policy source
wikipedia
1 Wikipedia page

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
91 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Rapid genotyping of Pseudomonas aeruginosa isolates harboured by adult and paediatric patients with cystic fibrosis using repetitive-element-based PCR assays
Published in
Journal of Medical Microbiology, November 2004
DOI 10.1099/jmm.0.45611-0
Pubmed ID
Authors

Melanie W Syrmis, Mark R O'Carroll, Theo P Sloots, Chris Coulter, Claire E Wainwright, Scott C Bell, Michael D Nissen

Abstract

In this study, the suitability of two repetitive-element-based PCR (rep-PCR) assays, enterobacterial repetitive intergenic consensus (ERIC)-PCR and BOX-PCR, to rapidly characterize Pseudomonas aeruginosa strains isolated from patients with cystic fibrosis (CF) was examined. ERIC-PCR utilizes paired sequence-specific primers and BOX-PCR a single primer that target highly conserved repetitive elements in the P. aeruginosa genome. Using these rep-PCR assays, 163 P. aeruginosa isolates cultured from sputa collected from 50 patients attending an adult CF clinic and 50 children attending a paediatric CF clinic were typed. The results of the rep-PCR assays were compared to the results of PFGE. All three assays revealed the presence of six major clonal groups shared by multiple patients attending either of the CF clinics, with the dominant clonal group infecting 38 % of all patients. This dominant clonal group was not related to the dominant clonal group detected in Sydney or Melbourne (pulsotype 1), nor was it related to the dominant groups detected in the UK. In all, PFGE and rep-PCR identified 58 distinct clonal groups, with only three of these shared between the two clinics. The results of this study showed that both ERIC-PCR and BOX-PCR are rapid, highly discriminatory and reproducible assays that proved to be powerful surveillance screening tools for the typing of clinical P. aeruginosa isolates recovered from patients with CF.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 1%
Portugal 1 1%
South Africa 1 1%
India 1 1%
United States 1 1%
Unknown 86 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 22%
Student > Master 20 22%
Researcher 16 18%
Student > Bachelor 7 8%
Student > Doctoral Student 5 5%
Other 11 12%
Unknown 12 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 43%
Biochemistry, Genetics and Molecular Biology 10 11%
Immunology and Microbiology 9 10%
Veterinary Science and Veterinary Medicine 6 7%
Medicine and Dentistry 6 7%
Other 9 10%
Unknown 12 13%
Attention Score in Context

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 29 August 2019.
All research outputs
#4,697,128
of 22,792,160 outputs
Outputs from Journal of Medical Microbiology
#368
of 2,774 outputs
Outputs of similar age
#10,277
of 62,373 outputs
Outputs of similar age from Journal of Medical Microbiology
#3
of 15 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,774 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 79% 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 62,373 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 73% of its contemporaries.
We're also able to compare this research output to 15 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 66% of its contemporaries.