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Mendeley readers
Attention Score in Context
| Title |
A comparison of two informative SNP-based strategies for typing Pseudomonas aeruginosa isolates from patients with cystic fibrosis
|
|---|---|
| Published in |
BMC Infectious Diseases, June 2014
|
| DOI | 10.1186/1471-2334-14-307 |
| Pubmed ID | |
| Authors |
Melanie W Syrmis, Timothy J Kidd, Ralf J Moser, Kay A Ramsay, Kristen M Gibson, Snehal Anuj, Scott C Bell, Claire E Wainwright, Keith Grimwood, Michael Nissen, Theo P Sloots, David M Whiley |
| Abstract |
Molecular typing is integral for identifying Pseudomonas aeruginosa strains that may be shared between patients with cystic fibrosis (CF). We conducted a side-by-side comparison of two P. aeruginosa genotyping methods utilising informative-single nucleotide polymorphism (SNP) methods; one targeting 10 P. aeruginosa SNPs and using real-time polymerase chain reaction technology (HRM10SNP) and the other targeting 20 SNPs and based on the Sequenom MassARRAY platform (iPLEX20SNP). |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Estonia | 1 | 5% |
| Unknown | 20 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 19% |
| Student > Master | 3 | 14% |
| Other | 2 | 10% |
| Student > Doctoral Student | 2 | 10% |
| Professor | 2 | 10% |
| Other | 3 | 14% |
| Unknown | 5 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 24% |
| Immunology and Microbiology | 4 | 19% |
| Veterinary Science and Veterinary Medicine | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Chemical Engineering | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 19 July 2018.
All research outputs
#3,272,848
of 22,790,780 outputs
Outputs from BMC Infectious Diseases
#1,096
of 7,674 outputs
Outputs of similar age
#33,922
of 228,106 outputs
Outputs of similar age from BMC Infectious Diseases
#26
of 173 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,674 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done well, scoring higher than 85% 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 228,106 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.