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Staphylococcus aureusgene expression in a rat model of infective endocarditis

Overview of attention for article published in Genome Medicine, November 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
69 Mendeley
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Title
Staphylococcus aureusgene expression in a rat model of infective endocarditis
Published in
Genome Medicine, November 2014
DOI 10.1186/s13073-014-0093-3
Pubmed ID
Authors

Frank Hanses, Christelle Roux, Paul M Dunman, Bernd Salzberger, Jean C Lee

Abstract

Diabetes mellitus is a frequent underlying comorbidity in patients with Staphylococcus aureus endocarditis, and it represents a risk factor for complications and a negative outcome. The pathogenesis of staphylococcal endocardial infections in diabetic hosts has been poorly characterized, and little is known about S. aureus gene expression in endocardial vegetations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
United States 1 1%
Denmark 1 1%
Switzerland 1 1%
Unknown 65 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 25%
Student > Ph. D. Student 12 17%
Professor > Associate Professor 7 10%
Student > Bachelor 5 7%
Professor 5 7%
Other 14 20%
Unknown 9 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 22%
Biochemistry, Genetics and Molecular Biology 14 20%
Immunology and Microbiology 11 16%
Medicine and Dentistry 9 13%
Engineering 2 3%
Other 5 7%
Unknown 13 19%
Attention Score in Context

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 23 November 2014.
All research outputs
#3,269,905
of 22,772,779 outputs
Outputs from Genome Medicine
#725
of 1,437 outputs
Outputs of similar age
#40,721
of 262,163 outputs
Outputs of similar age from Genome Medicine
#30
of 54 outputs
Altmetric has tracked 22,772,779 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 1,437 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one is in the 49th percentile – i.e., 49% 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 262,163 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 83% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.