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High Throughput Sequencing for Detection of Foodborne Pathogens

Overview of attention for article published in Frontiers in Microbiology, October 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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6 X users
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1 Facebook page

Citations

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228 Mendeley
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1 CiteULike
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Title
High Throughput Sequencing for Detection of Foodborne Pathogens
Published in
Frontiers in Microbiology, October 2017
DOI 10.3389/fmicb.2017.02029
Pubmed ID
Authors

Camilla Sekse, Arne Holst-Jensen, Ulrich Dobrindt, Gro S. Johannessen, Weihua Li, Bjørn Spilsberg, Jianxin Shi

Abstract

High-throughput sequencing (HTS) is becoming the state-of-the-art technology for typing of microbial isolates, especially in clinical samples. Yet, its application is still in its infancy for monitoring and outbreak investigations of foods. Here we review the published literature, covering not only bacterial but also viral and Eukaryote food pathogens, to assess the status and potential of HTS implementation to inform stakeholders, improve food safety and reduce outbreak impacts. The developments in sequencing technology and bioinformatics have outpaced the capacity to analyze and interpret the sequence data. The influence of sample processing, nucleic acid extraction and purification, harmonized protocols for generation and interpretation of data, and properly annotated and curated reference databases including non-pathogenic "natural" strains are other major obstacles to the realization of the full potential of HTS in analytical food surveillance, epidemiological and outbreak investigations, and in complementing preventive approaches for the control and management of foodborne pathogens. Despite significant obstacles, the achieved progress in capacity and broadening of the application range over the last decade is impressive and unprecedented, as illustrated with the chosen examples from the literature. Large consortia, often with broad international participation, are making coordinated efforts to cope with many of the mentioned obstacles. Further rapid progress can therefore be prospected for the next decade.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 228 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 38 17%
Researcher 28 12%
Student > Ph. D. Student 27 12%
Student > Bachelor 22 10%
Student > Doctoral Student 14 6%
Other 26 11%
Unknown 73 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 20%
Biochemistry, Genetics and Molecular Biology 37 16%
Immunology and Microbiology 18 8%
Engineering 7 3%
Environmental Science 5 2%
Other 28 12%
Unknown 87 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 December 2017.
All research outputs
#6,651,561
of 23,498,099 outputs
Outputs from Frontiers in Microbiology
#6,816
of 25,939 outputs
Outputs of similar age
#108,333
of 329,771 outputs
Outputs of similar age from Frontiers in Microbiology
#229
of 529 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 25,939 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 73% 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 329,771 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 529 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.