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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessment of virulence diversity of methicillin-resistant Staphylococcus aureus strains with a Drosophila melanogaster infection model
|
|---|---|
| Published in |
BMC Microbiology, November 2012
|
| DOI | 10.1186/1471-2180-12-274 |
| Pubmed ID | |
| Authors |
Kaiyu Wu, John Conly, Michael Surette, Christopher Sibley, Sameer Elsayed, Kunyan Zhang |
| Abstract |
Staphylococcus aureus strains with distinct genetic backgrounds have shown different virulence in animal models as well as associations with different clinical outcomes, such as causing infection in the hospital or the community. With S. aureus strains carrying diverse genetic backgrounds that have been demonstrated by gene typing and genomic sequences, it is difficult to compare these strains using mammalian models. Invertebrate host models provide a useful alternative approach for studying bacterial pathogenesis in mammals since they have conserved innate immune systems of biological defense. Here, we employed Drosophila melanogaster as a host model for studying the virulence of S. aureus strains. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Brazil | 1 | 3% |
| Unknown | 34 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 27% |
| Student > Ph. D. Student | 6 | 16% |
| Student > Bachelor | 4 | 11% |
| Professor | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 7 | 19% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 38% |
| Immunology and Microbiology | 6 | 16% |
| Medicine and Dentistry | 5 | 14% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Nursing and Health Professions | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 5 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 25 November 2012.
All research outputs
#19,017,658
of 23,577,761 outputs
Outputs from BMC Microbiology
#2,286
of 3,260 outputs
Outputs of similar age
#218,995
of 280,827 outputs
Outputs of similar age from BMC Microbiology
#73
of 93 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,260 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 280,827 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.