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Identification of source and sink populations for the emergence and global spread of the East-Asia clone of community-associated MRSA

Overview of attention for article published in Genome Biology, July 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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36 X users
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1 Google+ user

Citations

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84 Mendeley
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Title
Identification of source and sink populations for the emergence and global spread of the East-Asia clone of community-associated MRSA
Published in
Genome Biology, July 2016
DOI 10.1186/s13059-016-1022-0
Pubmed ID
Authors

Melissa J. Ward, Mariya Goncheva, Emily Richardson, Paul R. McAdam, Emma Raftis, Angela Kearns, Robert S. Daum, Michael Z. David, Tsai Ling Lauderdale, Giles F. Edwards, Graeme R. Nimmo, Geoffrey W. Coombs, Xander Huijsdens, Mark E. J. Woolhouse, J. Ross Fitzgerald

Abstract

Our understanding of the factors influencing the emergence, dissemination and global distribution of epidemic clones of bacteria is limited. ST59 is a major epidemic clone of community-associated MRSA in East Asia, responsible for extensive morbidity and mortality, but has a much lower prevalence in other parts of the world. The geographic origin of ST59 and its international routes of dissemination are unclear and disputed in the literature. To investigate the origin and spread of the ST59 clone, we obtained whole genome sequences of isolates from four continents, sampled over more than a decade, and carried out a time-scaled phylogeographic analysis. We discover that two distinct ST59 clades emerged concurrently, in East Asia and the USA, but underwent clonal expansion at different times. The East Asia clade was strongly enriched for gene determinants associated with antibiotic resistance, consistent with regional differences in antibiotic usage. Both clones spread independently to Australia and Europe, and we found evidence of the persistence of multi-drug resistance following export from East Asia. Direct transfer of strains between Taiwan and the USA was not observed in either direction, consistent with geographic niche exclusion. Our results resolve a longstanding controversy regarding the origin of the ST59 clone, revealing the major global source and sink populations and routes for the spread of multi-drug resistant clones. Additionally, our findings indicate that diversification of the accessory genome of epidemic clones partly reflects region-specific patterns of antibiotic usage, which may influence bacterial fitness after transmission to different geographic locations.

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X Demographics

The data shown below were collected from the profiles of 36 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 2%
Unknown 82 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 24%
Student > Ph. D. Student 11 13%
Student > Master 8 10%
Professor 7 8%
Student > Bachelor 5 6%
Other 15 18%
Unknown 18 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 17%
Immunology and Microbiology 12 14%
Biochemistry, Genetics and Molecular Biology 11 13%
Medicine and Dentistry 6 7%
Veterinary Science and Veterinary Medicine 3 4%
Other 10 12%
Unknown 28 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 14 July 2017.
All research outputs
#1,808,728
of 25,711,518 outputs
Outputs from Genome Biology
#1,496
of 4,505 outputs
Outputs of similar age
#32,947
of 381,508 outputs
Outputs of similar age from Genome Biology
#19
of 55 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,505 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 gotten more attention than average, scoring higher than 66% 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 381,508 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 91% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.