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Multilocus sequence typing of Campylobacter concisus from Danish diarrheic patients

Overview of attention for article published in Gut Pathogens, September 2016
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Title
Multilocus sequence typing of Campylobacter concisus from Danish diarrheic patients
Published in
Gut Pathogens, September 2016
DOI 10.1186/s13099-016-0126-0
Pubmed ID
Authors

Hans Linde Nielsen, Henrik Nielsen, Mia Torpdahl

Abstract

The emerging enteric pathogen Campylobacter concisus is associated with prolonged diarrhea and inflammatory bowel disease. Previous studies have shown that C. concisus strains are very genetically diverse. Nevertheless, C. concisus strains have been divided into two genomospecies, where GS1 strains have been isolated predominantly from healthy individuals, while the GS2 cluster consists of isolates primarily from diarrheic individuals. The aim of the present study was to determine the genetic diversity of C. concisus isolates from Danish diarrheic patients. Multilocus sequence typing using the loci aspA, atpA, glnA, gltA, glyA, ilvD and pgm, as well as genomospecies based on specific differences in the 23S rRNA, was used to characterize 67 isolates (63 fecal and 4 oral), from 49 patients with different clinical presentations (29 with diarrhea, eight with bloody diarrhea, seven with collagenous colitis and five with Crohn's disease). MLST revealed a high diversity of C. concisus with 53 sequence types (STs), of which 52 were identified as 'new' STs. Allele sequences showed more than 90 % similarity between isolates, with only four outliers. Dendrogram profiles of each allele showed a division into two groups, which more or less correlated with genomospecies A and genomospecies B. However, in contrary to previous results, this subgrouping had no association to the clinical severity of disease.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Professor 4 27%
Researcher 2 13%
Other 1 7%
Student > Master 1 7%
Unknown 7 47%
Readers by discipline Count As %
Medicine and Dentistry 4 27%
Agricultural and Biological Sciences 2 13%
Immunology and Microbiology 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Unknown 7 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 February 2017.
All research outputs
#14,734,082
of 22,889,074 outputs
Outputs from Gut Pathogens
#258
of 524 outputs
Outputs of similar age
#191,334
of 321,009 outputs
Outputs of similar age from Gut Pathogens
#7
of 11 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 524 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 49th percentile – i.e., 49% 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 321,009 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.