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Current Knowledge and Computational Techniques for Grapevine Meta-Omics Analysis

Overview of attention for article published in Frontiers in Plant Science, January 2018
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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Title
Current Knowledge and Computational Techniques for Grapevine Meta-Omics Analysis
Published in
Frontiers in Plant Science, January 2018
DOI 10.3389/fpls.2017.02241
Pubmed ID
Authors

Salvatore Alaimo, Gioacchino P. Marceca, Rosalba Giugno, Alfredo Ferro, Alfredo Pulvirenti

Abstract

Growing grapevine (Vitis vinifera) is a key contribution to the economy of many countries. Tools provided by genomics and bioinformatics did help researchers in obtaining biological knowledge about the different cultivars. Several genetic markers for common diseases were identified. Recently, the impact of microbiome has been proved to be of fundamental importance both in humans and in plants for its ability to confer protection or induce diseases. In this review we report current knowledge about grapevine microbiome, together with a description of the available computational methodologies for meta-omics analysis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 28%
Student > Master 13 18%
Student > Ph. D. Student 9 12%
Student > Bachelor 7 9%
Student > Doctoral Student 5 7%
Other 6 8%
Unknown 13 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 39%
Biochemistry, Genetics and Molecular Biology 6 8%
Computer Science 4 5%
Environmental Science 4 5%
Engineering 3 4%
Other 10 14%
Unknown 18 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 06 February 2018.
All research outputs
#5,783,504
of 23,015,156 outputs
Outputs from Frontiers in Plant Science
#3,016
of 20,523 outputs
Outputs of similar age
#115,374
of 443,107 outputs
Outputs of similar age from Frontiers in Plant Science
#84
of 446 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 20,523 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 85% 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 443,107 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 73% of its contemporaries.
We're also able to compare this research output to 446 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.