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Evaluating next-generation sequencing for direct clinical diagnostics in diarrhoeal disease

Overview of attention for article published in European Journal of Clinical Microbiology & Infectious Diseases, March 2017
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Title
Evaluating next-generation sequencing for direct clinical diagnostics in diarrhoeal disease
Published in
European Journal of Clinical Microbiology & Infectious Diseases, March 2017
DOI 10.1007/s10096-017-2947-2
Pubmed ID
Authors

K. G. Joensen, A. L. Ø. Engsbro, O. Lukjancenko, R. S. Kaas, O. Lund, H. Westh, F. M. Aarestrup

Abstract

The accurate microbiological diagnosis of diarrhoea involves numerous laboratory tests and, often, the pathogen is not identified in time to guide clinical management. With next-generation sequencing (NGS) becoming cheaper, it has huge potential in routine diagnostics. The aim of this study was to evaluate the potential of NGS-based diagnostics through direct sequencing of faecal samples. Fifty-eight clinical faecal samples were obtained from patients with diarrhoea as part of the routine diagnostics at Hvidovre University Hospital, Denmark. Ten samples from healthy individuals were also included. DNA was extracted from faecal samples and sequenced on the Illumina MiSeq system. Species distribution was determined with MGmapper and NGS-based diagnostic prediction was performed based on the relative abundance of pathogenic bacteria and Giardia and detection of pathogen-specific virulence genes. NGS-based diagnostic results were compared to conventional findings for 55 of the diarrhoeal samples; 38 conventionally positive for bacterial pathogens, two positive for Giardia, four positive for virus and 11 conventionally negative. The NGS-based approach enabled detection of the same bacterial pathogens as the classical approach in 34 of the 38 conventionally positive bacterial samples and predicted the responsible pathogens in five of the 11 conventionally negative samples. Overall, the NGS-based approach enabled pathogen detection comparable to conventional diagnostics and the approach has potential to be extended for the detection of all pathogens. At present, however, this approach is too expensive and time-consuming for routine diagnostics.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 22%
Student > Master 6 9%
Student > Doctoral Student 6 9%
Student > Bachelor 6 9%
Professor > Associate Professor 5 7%
Other 13 19%
Unknown 18 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 23%
Biochemistry, Genetics and Molecular Biology 7 10%
Immunology and Microbiology 6 9%
Medicine and Dentistry 4 6%
Social Sciences 3 4%
Other 13 19%
Unknown 20 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 02 May 2017.
All research outputs
#17,890,958
of 22,968,808 outputs
Outputs from European Journal of Clinical Microbiology & Infectious Diseases
#2,085
of 2,789 outputs
Outputs of similar age
#221,387
of 308,200 outputs
Outputs of similar age from European Journal of Clinical Microbiology & Infectious Diseases
#40
of 51 outputs
Altmetric has tracked 22,968,808 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,789 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 21st percentile – i.e., 21% 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 308,200 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.