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Subtyping of STEC by MLVA in Argentina

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, January 2012
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Title
Subtyping of STEC by MLVA in Argentina
Published in
Frontiers in Cellular and Infection Microbiology, January 2012
DOI 10.3389/fcimb.2012.00111
Pubmed ID
Authors

Ana V. Bustamante, Andrea M. Sanso, Alberto E. Parma, Paula M. A. Lucchesi

Abstract

Shiga toxin-producing Escherichia coli (STEC) causes serious human illness such as hemolytic uremic syndrome (HUS). Argentina has the world's highest rate of this syndrome, which is the leading cause of acute renal failure among children. E. coli O157:H7 is the most common cause of HUS, but a substantial and growing proportion of this illness is caused by infection due to non-O157 strains. Multiple-locus variable-number tandem repeat analysis (MLVA) has become an established technique to subtype STEC. This review will address the use of routine STEC subtyping by MLVA in order to type this group of isolates and to get insight into the genetic diversity of native STEC. With regard to these objectives we modified and adapted two MLVA protocols, one exclusive for O157 and the other, a generic E. coli assay. A total of 202 STEC isolates, from different sources and corresponding to 20 serotypes, have been MLVA genotyped in our laboratory. In our experience, MLVA constitutes a very sensitive tool and enables us to perform an efficient STEC subtyping. The diversity found in many serotypes may be useful for future epidemiological studies of STEC clonality, applied to O157 as well as to non-O157 isolates.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 36%
Researcher 3 21%
Professor > Associate Professor 2 14%
Student > Bachelor 1 7%
Professor 1 7%
Other 0 0%
Unknown 2 14%
Readers by discipline Count As %
Medicine and Dentistry 3 21%
Agricultural and Biological Sciences 2 14%
Biochemistry, Genetics and Molecular Biology 2 14%
Immunology and Microbiology 2 14%
Social Sciences 1 7%
Other 0 0%
Unknown 4 29%
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 22 August 2012.
All research outputs
#20,165,369
of 22,675,759 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#5,858
of 6,287 outputs
Outputs of similar age
#221,176
of 244,088 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#88
of 109 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.