↓ Skip to main content

Proposal of a quantitative PCR-based protocol for an optimal Pseudomonas aeruginosa detection in patients with cystic fibrosis

Overview of attention for article published in BMC Microbiology, June 2013
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
68 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
Proposal of a quantitative PCR-based protocol for an optimal Pseudomonas aeruginosa detection in patients with cystic fibrosis
Published in
BMC Microbiology, June 2013
DOI 10.1186/1471-2180-13-143
Pubmed ID
Authors

Florence Le Gall, Rozenn Le Berre, Sylvain Rosec, Jeanne Hardy, Stéphanie Gouriou, Sylvie Boisramé-Gastrin, Sophie Vallet, Gilles Rault, Christopher Payan, Geneviève Héry-Arnaud

Abstract

The lung of patients with cystic fibrosis (CF) is particularly sensitive to Pseudomonas aeruginosa. This bacterium plays an important role in the poor outcome of CF patients. During the disease progress, first acquisition of P. aeruginosa is the key-step in the management of CF patients. Quantitative PCR (qPCR) offers an opportunity to detect earlier the first acquisition of P. aeruginosa by CF patients. Given the lack of a validated protocol, our goal was to find an optimal molecular protocol for detection of P. aeruginosa in CF patients.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Portugal 1 1%
Unknown 66 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 35%
Researcher 15 22%
Student > Bachelor 7 10%
Student > Doctoral Student 5 7%
Student > Master 5 7%
Other 6 9%
Unknown 6 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 34%
Biochemistry, Genetics and Molecular Biology 11 16%
Medicine and Dentistry 10 15%
Immunology and Microbiology 9 13%
Engineering 3 4%
Other 6 9%
Unknown 6 9%

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 10 March 2018.
All research outputs
#6,361,361
of 21,347,367 outputs
Outputs from BMC Microbiology
#721
of 3,042 outputs
Outputs of similar age
#51,638
of 174,525 outputs
Outputs of similar age from BMC Microbiology
#1
of 1 outputs
Altmetric has tracked 21,347,367 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 3,042 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 76% 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 174,525 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 70% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them