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Nonrandom Distribution of Burkholderia pseudomallei Clones in Relation to Geographical Location and Virulence

Overview of attention for article published in Journal of Clinical Microbiology, July 2006
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Title
Nonrandom Distribution of Burkholderia pseudomallei Clones in Relation to Geographical Location and Virulence
Published in
Journal of Clinical Microbiology, July 2006
DOI 10.1128/jcm.00629-06
Pubmed ID
Authors

Mongkol Vesaratchavest, Sarinna Tumapa, Nicholas P. J. Day, Vanaporn Wuthiekanun, Wirongrong Chierakul, Matthew T. G. Holden, Nicholas J. White, Bart J. Currie, Brian G. Spratt, Edward J. Feil, Sharon J. Peacock

Abstract

Burkholderia pseudomallei is a soil-dwelling saprophyte and the causative agent of melioidosis, a life-threatening human infection. Most cases are reported from northeast Thailand and northern Australia. Using multilocus sequence typing (MLST), we have compared (i) soil and invasive isolates from northeast Thailand and (ii) invasive isolates from Thailand and Australia. A total of 266 Thai B. pseudomallei isolates were characterized (83 soil and 183 invasive). These corresponded to 123 sequence types (STs), the most abundant being ST70 (n=21), ST167 (n=15), ST54 (n=12), and ST58 (n=11). Two clusters of related STs (clonal complexes) were identified; the larger clonal complex (CC48) did not conform to a simple pattern of radial expansion from an assumed ancestor, while a second (CC70) corresponded to a simple radial expansion from ST70. Despite the large number of STs, overall nucleotide diversity was low. Of the Thai isolates, those isolated from patients with melioidosis were overrepresented in the 10 largest clones (P<0.0001). There was a significant difference in the classification index between environmental and disease isolates (P<0.001), confirming that genotypes were not distributed randomly between the two samples. MLST profiles for 158 isolates from Australia (mainly disease associated) contained a number of STs (96) similar to that seen with the Thai invasive isolates, but no ST was found in both populations. There were also differences in diversity and allele frequency distribution between the two populations. This analysis reveals strong genetic differentiation on the basis of geographical isolation and a significant differentiation on the basis of virulence potential.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 2%
United Kingdom 1 2%
Portugal 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 27%
Student > Ph. D. Student 6 12%
Student > Master 6 12%
Professor 4 8%
Other 4 8%
Other 8 16%
Unknown 8 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 41%
Medicine and Dentistry 8 16%
Biochemistry, Genetics and Molecular Biology 7 14%
Chemical Engineering 1 2%
Computer Science 1 2%
Other 4 8%
Unknown 8 16%
Attention Score in Context

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 15 August 2006.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Journal of Clinical Microbiology
#12,613
of 14,316 outputs
Outputs of similar age
#79,390
of 89,461 outputs
Outputs of similar age from Journal of Clinical Microbiology
#86
of 102 outputs
Altmetric has tracked 25,371,288 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 14,316 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 8th percentile – i.e., 8% 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 89,461 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.