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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 50% |
| United Kingdom | 2 | 33% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 1 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 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 | 73 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 32% |
| Researcher | 15 | 20% |
| Student > Bachelor | 7 | 9% |
| Student > Master | 6 | 8% |
| Student > Doctoral Student | 5 | 7% |
| Other | 7 | 9% |
| Unknown | 11 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 31% |
| Biochemistry, Genetics and Molecular Biology | 12 | 16% |
| Medicine and Dentistry | 10 | 13% |
| Immunology and Microbiology | 9 | 12% |
| Engineering | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 11 | 15% |
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
#6,824,209
of 22,712,476 outputs
Outputs from BMC Microbiology
#762
of 3,171 outputs
Outputs of similar age
#58,896
of 196,836 outputs
Outputs of similar age from BMC Microbiology
#13
of 32 outputs
Altmetric has tracked 22,712,476 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 3,171 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 75% 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 196,836 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 69% of its contemporaries.
We're also able to compare this research output to 32 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 59% of its contemporaries.