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Multilocus sequence typing of Cronobacter sakazakii and Cronobacter malonaticus reveals stable clonal structures with clinical significance which do not correlate with biotypes

Overview of attention for article published in BMC Microbiology, October 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

patent
3 patents
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
137 Dimensions

Readers on

mendeley
53 Mendeley
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Title
Multilocus sequence typing of Cronobacter sakazakii and Cronobacter malonaticus reveals stable clonal structures with clinical significance which do not correlate with biotypes
Published in
BMC Microbiology, October 2009
DOI 10.1186/1471-2180-9-223
Pubmed ID
Authors

Adam Baldwin, Michael Loughlin, Juncal Caubilla-Barron, Eva Kucerova, Georgina Manning, Christopher Dowson, Stephen Forsythe

Abstract

The Cronobacter genus (Enterobacter sakazakii) has come to prominence due to its association with infant infections, and the ingestion of contaminated reconstituted infant formula. C. sakazakii and C. malonaticus are closely related, and are defined according their biotype. Due to the ubiquitous nature of the organism, and the high severity of infection for the immunocompromised, a multilocus sequence typing (MLST) scheme has been developed for the fast and reliable identification and discrimination of C. sakazakii and C. malonaticus strains. It was applied to 60 strains of C. sakazakii and 16 strains of C. malonaticus, including the index strains used to define the biotypes. The strains were from clinical and non-clinical sources between 1951 and 2008 in USA, Canada, Europe, New Zealand and the Far East.

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
France 1 2%
South Africa 1 2%
Unknown 49 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Student > Bachelor 11 21%
Student > Master 5 9%
Student > Postgraduate 5 9%
Professor 3 6%
Other 11 21%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 53%
Biochemistry, Genetics and Molecular Biology 8 15%
Immunology and Microbiology 3 6%
Chemistry 2 4%
Nursing and Health Professions 1 2%
Other 4 8%
Unknown 7 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 08 June 2021.
All research outputs
#2,637,261
of 18,815,546 outputs
Outputs from BMC Microbiology
#248
of 2,798 outputs
Outputs of similar age
#44,668
of 306,311 outputs
Outputs of similar age from BMC Microbiology
#2
of 2 outputs
Altmetric has tracked 18,815,546 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,798 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 90% 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 306,311 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.