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The Grapevine and Wine Microbiome: Insights from High-Throughput Amplicon Sequencing

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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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7 X users
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2 patents
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1 Facebook page

Citations

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103 Dimensions

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229 Mendeley
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Title
The Grapevine and Wine Microbiome: Insights from High-Throughput Amplicon Sequencing
Published in
Frontiers in Microbiology, May 2017
DOI 10.3389/fmicb.2017.00820
Pubmed ID
Authors

Horatio H. Morgan, Maret du Toit, Mathabatha E. Setati

Abstract

From the time when microbial activity in wine fermentation was first demonstrated, the microbial ecology of the vineyard, grape, and wine has been extensively investigated using culture-based methods. However, the last 2 decades have been characterized by an important change in the approaches used for microbial examination, due to the introduction of DNA-based community fingerprinting methods such as DGGE, SSCP, T-RFLP, and ARISA. These approaches allowed for the exploration of microbial community structures without the need to cultivate, and have been extensively applied to decipher the microbial populations associated with the grapevine as well as the microbial dynamics throughout grape berry ripening and wine fermentation. These techniques are well-established for the rapid more sensitive profiling of microbial communities; however, they often do not provide direct taxonomic information and possess limited ability to detect the presence of rare taxa and taxa with low abundance. Consequently, the past 5 years have seen an upsurge in the application of high-throughput sequencing methods for the in-depth assessment of the grapevine and wine microbiome. Although a relatively new approach in wine sciences, these methods reveal a considerably greater diversity than previously reported, and identified several species that had not yet been reported. The aim of the current review is to highlight the contribution of high-throughput next generation sequencing and metagenomics approaches to vineyard microbial ecology especially unraveling the influence of vineyard management practices on microbial diversity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 229 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Unknown 228 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 17%
Student > Ph. D. Student 38 17%
Student > Master 30 13%
Student > Doctoral Student 16 7%
Student > Bachelor 13 6%
Other 39 17%
Unknown 53 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 96 42%
Biochemistry, Genetics and Molecular Biology 41 18%
Environmental Science 6 3%
Immunology and Microbiology 6 3%
Engineering 4 2%
Other 9 4%
Unknown 67 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 30 March 2023.
All research outputs
#4,613,979
of 24,506,807 outputs
Outputs from Frontiers in Microbiology
#4,627
of 27,808 outputs
Outputs of similar age
#75,864
of 315,161 outputs
Outputs of similar age from Frontiers in Microbiology
#167
of 516 outputs
Altmetric has tracked 24,506,807 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,808 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 well, scoring higher than 83% 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 315,161 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 74% of its contemporaries.
We're also able to compare this research output to 516 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 66% of its contemporaries.