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Molecular investigation of bacterial communities on intravascular catheters: no longer just Staphylococcus

Overview of attention for article published in European Journal of Clinical Microbiology & Infectious Diseases, February 2014
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Title
Molecular investigation of bacterial communities on intravascular catheters: no longer just Staphylococcus
Published in
European Journal of Clinical Microbiology & Infectious Diseases, February 2014
DOI 10.1007/s10096-014-2058-2
Pubmed ID
Authors

L. Zhang, J. Gowardman, M. Morrison, L. Krause, E. G. Playford, C. M. Rickard

Abstract

Intravascular catheter-related bloodstream infections (IVC-BSIs) are associated with significant morbidity and mortality. Culture-independent molecular approaches can reveal and capture the composition of complex microbial communities, and are now being used to reveal "new" pathogens as well as the polymicrobial nature of some infections. Patients with concurrently sited arterial and central venous catheters who had clinically suspected IVC-BSIs, were examined by the high-throughput sequencing of microbial 16S rRNA. An average of 100 operational taxonomic units (OTUs, phylotypes) was observed on each IVC, indicating that IVCs were colonised by complex and diverse bacterial communities. Ralstonia (53 % of 16S rRNA sequences), Escherichia group (16 %), Propionibacterium (5 %), Staphylococcus (5 %), and Streptococcus (2 %) were the most abundant genera. There was no statistically significant difference in the bacterial communities examined from arterial and central venous catheters; from those with and without systemic antibiotic treatment; or from conventionally colonised and uncolonised IVCs. The genome of the predominant bacteria, R. pickettii AU12-08, was found to encode resistance to antimicrobial drugs of different classes. In addition, many encoded gene products are involved in quorum sensing and biofilm formation that would further contribute to increased antimicrobial drug resistance. Our results highlight the complex diversity of microbial ecosystems on vascular devices. High-throughput sequencing of 16S rRNA offers an insight into the pathogenesis of IVC-related infections, and opens up the scope for improving diagnosis and patient management.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Denmark 1 2%
Unknown 49 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 19%
Student > Ph. D. Student 10 19%
Researcher 8 15%
Student > Bachelor 3 6%
Student > Doctoral Student 2 4%
Other 9 17%
Unknown 10 19%
Readers by discipline Count As %
Medicine and Dentistry 13 25%
Agricultural and Biological Sciences 7 13%
Biochemistry, Genetics and Molecular Biology 6 12%
Immunology and Microbiology 6 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 6 12%
Unknown 12 23%
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 19 June 2014.
All research outputs
#14,190,698
of 22,745,803 outputs
Outputs from European Journal of Clinical Microbiology & Infectious Diseases
#1,691
of 2,769 outputs
Outputs of similar age
#172,685
of 307,254 outputs
Outputs of similar age from European Journal of Clinical Microbiology & Infectious Diseases
#27
of 39 outputs
Altmetric has tracked 22,745,803 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 2,769 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 36th percentile – i.e., 36% 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 307,254 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.