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Assessment of virulence diversity of methicillin-resistant Staphylococcus aureus strains with a Drosophila melanogaster infection model

Overview of attention for article published in BMC Microbiology, November 2012
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1 tweeter

Citations

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17 Dimensions

Readers on

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38 Mendeley
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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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 38 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 35 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 26%
Student > Ph. D. Student 6 16%
Student > Bachelor 4 11%
Student > Master 4 11%
Professor 3 8%
Other 7 18%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 37%
Immunology and Microbiology 6 16%
Medicine and Dentistry 5 13%
Biochemistry, Genetics and Molecular Biology 4 11%
Unspecified 1 3%
Other 3 8%
Unknown 5 13%

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
#3,073,237
of 4,507,280 outputs
Outputs from BMC Microbiology
#604
of 906 outputs
Outputs of similar age
#188,421
of 279,862 outputs
Outputs of similar age from BMC Microbiology
#28
of 49 outputs
Altmetric has tracked 4,507,280 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 906 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 22nd percentile – i.e., 22% 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 279,862 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.