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Changes in volatile composition and sensory attributes of wines during alcohol content reduction

Overview of attention for article published in Journal of the Science of Food and Agriculture, May 2016
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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1 news outlet
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1 X user
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1 Facebook page

Citations

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61 Dimensions

Readers on

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110 Mendeley
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Title
Changes in volatile composition and sensory attributes of wines during alcohol content reduction
Published in
Journal of the Science of Food and Agriculture, May 2016
DOI 10.1002/jsfa.7757
Pubmed ID
Authors

Rocco Longo, John W Blackman, Peter J Torley, Suzy Y Rogiers, Leigh M Schmidtke

Abstract

A desirable sensory profile is a major consumer driver for wine acceptability and should be considered during the production of reduced alcohol wines. Although various viticultural practices and microbiological approaches show promising results, separation technologies such as membrane filtration, in particular reverse osmosis, evaporative perstraction, and vacuum distillation represent the most common methods employed at the commercial scale to produce this wine. However, ethanol removal from wine can result in a significant loss of compounds such as esters that contribute positively to the overall perceived aroma. Such losses can reduce the acceptability of the wine to consumers and decrease their willingness to purchase wines that have had their alcohol level reduced. The change in aroma as a result of the ethanol removal processes is influenced by a number of factors: the type of alcohol reduction process, the chemical-physical properties (volatility, hydrophobicity, steric hindrance) of the aroma compounds, the composition of the non-volatile matrix (through π-π stacking), and the ethanol level. This review identifies and summarises possible deleterious influences of the dealcoholisation process and describes best practice strategies to facilitate the minimisation of the modifications to the original wine composition.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 109 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 15%
Student > Master 16 15%
Student > Bachelor 14 13%
Student > Ph. D. Student 11 10%
Student > Doctoral Student 5 5%
Other 8 7%
Unknown 39 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 25%
Biochemistry, Genetics and Molecular Biology 8 7%
Chemistry 8 7%
Engineering 5 5%
Chemical Engineering 3 3%
Other 10 9%
Unknown 49 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 13 December 2016.
All research outputs
#3,132,560
of 22,883,326 outputs
Outputs from Journal of the Science of Food and Agriculture
#285
of 4,270 outputs
Outputs of similar age
#53,732
of 311,734 outputs
Outputs of similar age from Journal of the Science of Food and Agriculture
#6
of 82 outputs
Altmetric has tracked 22,883,326 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,270 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 93% 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 311,734 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 82 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 92% of its contemporaries.