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A Review on the Applications of Next Generation Sequencing Technologies as Applied to Food-Related Microbiome Studies

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
22 X users
wikipedia
1 Wikipedia page

Citations

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230 Dimensions

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683 Mendeley
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Title
A Review on the Applications of Next Generation Sequencing Technologies as Applied to Food-Related Microbiome Studies
Published in
Frontiers in Microbiology, September 2017
DOI 10.3389/fmicb.2017.01829
Pubmed ID
Authors

Yu Cao, Séamus Fanning, Sinéad Proos, Kieran Jordan, Shabarinath Srikumar

Abstract

The development of next generation sequencing (NGS) techniques has enabled researchers to study and understand the world of microorganisms from broader and deeper perspectives. The contemporary advances in DNA sequencing technologies have not only enabled finer characterization of bacterial genomes but also provided deeper taxonomic identification of complex microbiomes which in its genomic essence is the combined genetic material of the microorganisms inhabiting an environment, whether the environment be a particular body econiche (e.g., human intestinal contents) or a food manufacturing facility econiche (e.g., floor drain). To date, 16S rDNA sequencing, metagenomics and metatranscriptomics are the three basic sequencing strategies used in the taxonomic identification and characterization of food-related microbiomes. These sequencing strategies have used different NGS platforms for DNA and RNA sequence identification. Traditionally, 16S rDNA sequencing has played a key role in understanding the taxonomic composition of a food-related microbiome. Recently, metagenomic approaches have resulted in improved understanding of a microbiome by providing a species-level/strain-level characterization. Further, metatranscriptomic approaches have contributed to the functional characterization of the complex interactions between different microbial communities within a single microbiome. Many studies have highlighted the use of NGS techniques in investigating the microbiome of fermented foods. However, the utilization of NGS techniques in studying the microbiome of non-fermented foods are limited. This review provides a brief overview of the advances in DNA sequencing chemistries as the technology progressed from first, next and third generations and highlights how NGS provided a deeper understanding of food-related microbiomes with special focus on non-fermented foods.

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X Demographics

The data shown below were collected from the profiles of 22 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 683 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 683 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 112 16%
Student > Ph. D. Student 105 15%
Researcher 88 13%
Student > Bachelor 54 8%
Student > Doctoral Student 42 6%
Other 81 12%
Unknown 201 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 158 23%
Biochemistry, Genetics and Molecular Biology 144 21%
Immunology and Microbiology 42 6%
Environmental Science 19 3%
Medicine and Dentistry 12 2%
Other 67 10%
Unknown 241 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 03 August 2020.
All research outputs
#1,288,421
of 26,017,215 outputs
Outputs from Frontiers in Microbiology
#759
of 29,749 outputs
Outputs of similar age
#25,351
of 329,608 outputs
Outputs of similar age from Frontiers in Microbiology
#18
of 507 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,749 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 97% 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 329,608 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 507 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.