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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome Analysis of Legionella pneumophila Strains Using a Mixed-Genome Microarray
|
|---|---|
| Published in |
PLOS ONE, October 2012
|
| DOI | 10.1371/journal.pone.0047437 |
| Pubmed ID | |
| Authors |
Sjoerd M. Euser, Nico J. Nagelkerke, Frank Schuren, Ruud Jansen, Jeroen W. Den Boer |
| Abstract |
Legionella, the causative agent for Legionnaires' disease, is ubiquitous in both natural and man-made aquatic environments. The distribution of Legionella genotypes within clinical strains is significantly different from that found in environmental strains. Developing novel genotypic methods that offer the ability to distinguish clinical from environmental strains could help to focus on more relevant (virulent) Legionella species in control efforts. Mixed-genome microarray data can be used to perform a comparative-genome analysis of strain collections, and advanced statistical approaches, such as the Random Forest algorithm are available to process these data. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Mexico | 1 | 3% |
| Unknown | 28 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 27% |
| Researcher | 6 | 20% |
| Student > Master | 5 | 17% |
| Other | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 40% |
| Immunology and Microbiology | 4 | 13% |
| Medicine and Dentistry | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 5 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 16 November 2017.
All research outputs
#2,241,031
of 22,681,577 outputs
Outputs from PLOS ONE
#28,621
of 193,576 outputs
Outputs of similar age
#16,219
of 175,904 outputs
Outputs of similar age from PLOS ONE
#553
of 4,760 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,576 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. 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 175,904 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 4,760 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.