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The speciation and genotyping of Cronobacter isolates from hospitalised patients

Overview of attention for article published in European Journal of Clinical Microbiology & Infectious Diseases, July 2015
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Title
The speciation and genotyping of Cronobacter isolates from hospitalised patients
Published in
European Journal of Clinical Microbiology & Infectious Diseases, July 2015
DOI 10.1007/s10096-015-2440-8
Pubmed ID
Authors

A. Alsonosi, S. Hariri, M. Kajsík, M. Oriešková, V. Hanulík, M. Röderová, J. Petrželová, H. Kollárová, H. Drahovská, S. Forsythe, O. Holý

Abstract

The World Health Organization (WHO) has recognised all Cronobacter species as human pathogens. Among premature neonates and immunocompromised infants, these infections can be life-threatening, with clinical presentations of septicaemia, meningitis and necrotising enterocolitis. The neurological sequelae can be permanent and the mortality rate as high as 40-80 %. Despite the highlighted issues of neonatal infections, the majority of Cronobacter infections are in the elderly population suffering from serious underlying disease or malignancy and include wound and urinary tract infections, osteomyelitis, bacteraemia and septicaemia. However, no age profiling studies have speciated or genotyped the Cronobacter isolates. A clinical collection of 51 Cronobacter strains from two hospitals were speciated and genotyped using 7-loci multilocus sequence typing (MLST), rpoB gene sequence analysis, O-antigen typing and pulsed-field gel electrophoresis (PFGE). The isolates were predominated by C. sakazakii sequence type 4 (63 %, 32/51) and C. malonaticus sequence type 7 (33 %, 17/51). These had been isolated from throat and sputum samples of all age groups, as well as recal and faecal swabs. There was no apparent relatedness between the age of the patient and the Cronobacter species isolated. Despite the high clonality of Cronobacter, PFGE profiles differentiated strains across the sequence types into 15 pulsotypes. There was almost complete agreement between O-antigen typing and rpoB gene sequence analysis and MLST profiling. This study shows the value of applying MLST to bacterial population studies with strains from two patient cohorts, combined with PFGE for further discrimination of strains.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 19%
Student > Ph. D. Student 6 11%
Researcher 6 11%
Student > Doctoral Student 5 9%
Student > Master 5 9%
Other 7 13%
Unknown 15 28%
Readers by discipline Count As %
Medicine and Dentistry 10 19%
Biochemistry, Genetics and Molecular Biology 7 13%
Agricultural and Biological Sciences 6 11%
Immunology and Microbiology 4 7%
Nursing and Health Professions 3 6%
Other 7 13%
Unknown 17 31%
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 10 June 2016.
All research outputs
#18,462,696
of 22,876,619 outputs
Outputs from European Journal of Clinical Microbiology & Infectious Diseases
#2,163
of 2,774 outputs
Outputs of similar age
#189,062
of 262,631 outputs
Outputs of similar age from European Journal of Clinical Microbiology & Infectious Diseases
#22
of 38 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,774 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 13th percentile – i.e., 13% 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 262,631 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.