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Phylogeographic variation in recombination rates within a global clone of methicillin-resistant Staphylococcus aureus

Overview of attention for article published in Genome Biology, December 2012
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
18 X users

Citations

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96 Dimensions

Readers on

mendeley
139 Mendeley
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4 CiteULike
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Title
Phylogeographic variation in recombination rates within a global clone of methicillin-resistant Staphylococcus aureus
Published in
Genome Biology, December 2012
DOI 10.1186/gb-2012-13-12-r126
Pubmed ID
Authors

Santiago Castillo-Ramírez, Jukka Corander, Pekka Marttinen, Mona Aldeljawi, William P Hanage, Henrik Westh, Kit Boye, Zeynep Gulay, Stephen D Bentley, Julian Parkhill, Matthew T Holden, Edward J Feil

Abstract

BACKGROUND: Next-generation sequencing (NGS) is a powerful tool for understanding both patterns of descent over time and space (phylogeography) and the molecular processes underpinning genome divergence in pathogenic bacteria. Here, we describe a synthesis between these perspectives by employing a recently developed Bayesian approach, BRATNextGen, for detecting recombination on an expanded NGS dataset of the globally disseminated methicillin-resistant Staphylococcus aureus (MRSA) clone ST239. RESULTS: The data confirm strong geographical clustering at continental, national and city scales and demonstrate that the rate of recombination varies significantly between phylogeographic sub-groups representing independent introductions from Europe. These differences are most striking when mobile non-core genes are included, but remain apparent even when only considering the stable core genome. The monophyletic ST239 sub-group corresponding to isolates from South America shows heightened recombination, the sub-group predominantly from Asia shows an intermediate level, and a very low level of recombination is noted in a third sub-group representing a large collection from Turkey. CONCLUSIONS: We show that the rapid global dissemination of a single pathogenic bacterial clone results in local variation in measured recombination rates. Possible explanatory variables include the size and time since emergence of each defined sub-population (as determined by the sampling frame), variation in transmission dynamics due to host movement, and changes in the bacterial genome affecting the propensity for recombination.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
Sweden 2 1%
Portugal 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 131 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 25%
Student > Ph. D. Student 34 24%
Student > Bachelor 14 10%
Student > Doctoral Student 11 8%
Professor > Associate Professor 7 5%
Other 20 14%
Unknown 18 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 42%
Biochemistry, Genetics and Molecular Biology 14 10%
Medicine and Dentistry 11 8%
Immunology and Microbiology 9 6%
Computer Science 6 4%
Other 11 8%
Unknown 30 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 21 June 2019.
All research outputs
#1,370,954
of 25,374,647 outputs
Outputs from Genome Biology
#1,075
of 4,467 outputs
Outputs of similar age
#11,658
of 288,785 outputs
Outputs of similar age from Genome Biology
#10
of 50 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 94th percentile: it's in the top 10% 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 75% 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 288,785 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 95% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.