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Evolutionary dynamics of methicillin-resistant Staphylococcus aureus within a healthcare system

Overview of attention for article published in Genome Biology, April 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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52 X users
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3 Facebook pages

Citations

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98 Dimensions

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162 Mendeley
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3 CiteULike
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Title
Evolutionary dynamics of methicillin-resistant Staphylococcus aureus within a healthcare system
Published in
Genome Biology, April 2015
DOI 10.1186/s13059-015-0643-z
Pubmed ID
Authors

Li-Yang Hsu, Simon R Harris, Monika A Chlebowicz, Jodi A Lindsay, Tse-Hsien Koh, Prabha Krishnan, Thean-Yen Tan, Pei-Yun Hon, Warren B Grubb, Stephen D Bentley, Julian Parkhill, Sharon J Peacock, Matthew TG Holden

Abstract

In the past decade, several countries have seen gradual replacement of endemic multi-resistant healthcare-associated methicillin-resistant Staphylococcus aureus (MRSA) with clones that are more susceptible to antibiotic treatment. One example is Singapore, where MRSA ST239, the dominant clone since molecular profiling of MRSA began in the mid-1980s, has been replaced by ST22 isolates belonging to EMRSA-15, a recently emerged pandemic lineage originating from Europe. We investigated the population structure of MRSA in Singaporean hospitals spanning three decades, using whole genome sequencing. Applying Bayesian phylogenetic methods we report that prior to the introduction of ST22, the ST239 MRSA population in Singapore originated from multiple introductions from the surrounding region; it was frequently transferred within the healthcare system resulting in a heterogeneous hospital population. Following the introduction of ST22 around the beginning of the millennium, this clone spread rapidly through Singaporean hospitals, supplanting the endemic ST239 population. Coalescent analysis revealed that although the genetic diversity of ST239 initially decreased as ST22 became more dominant, from 2007 onwards the genetic diversity of ST239 began to increase once more, which was not associated with the emergence of a sub-clone of ST239. Comparative genomic analysis of the accessory genome of the extant ST239 population identified that the Arginine Catabolic Mobile Element arose multiple times, thereby introducing genes associated with enhanced skin colonization into this population. Our results clearly demonstrate that, alongside clinical practice and antibiotic usage, competition between clones also has an important role in driving the evolution of nosocomial pathogen populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 52 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 <1%
Portugal 1 <1%
Germany 1 <1%
India 1 <1%
United Kingdom 1 <1%
New Zealand 1 <1%
Taiwan 1 <1%
Denmark 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 152 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 20%
Researcher 31 19%
Student > Bachelor 19 12%
Student > Master 15 9%
Professor 9 6%
Other 34 21%
Unknown 22 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 30%
Medicine and Dentistry 25 15%
Immunology and Microbiology 20 12%
Biochemistry, Genetics and Molecular Biology 14 9%
Veterinary Science and Veterinary Medicine 5 3%
Other 15 9%
Unknown 34 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 October 2015.
All research outputs
#1,199,434
of 25,374,647 outputs
Outputs from Genome Biology
#901
of 4,467 outputs
Outputs of similar age
#14,776
of 279,915 outputs
Outputs of similar age from Genome Biology
#14
of 69 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 79% 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 279,915 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 94% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.