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Metabolic fingerprinting based on high-resolution tandem mass spectrometry: a reliable tool for wine authentication?

Overview of attention for article published in Analytical & Bioanalytical Chemistry, May 2014
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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1 policy source
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2 X users
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2 patents

Citations

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61 Dimensions

Readers on

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67 Mendeley
Title
Metabolic fingerprinting based on high-resolution tandem mass spectrometry: a reliable tool for wine authentication?
Published in
Analytical & Bioanalytical Chemistry, May 2014
DOI 10.1007/s00216-014-7864-y
Pubmed ID
Authors

Josep Rubert, Ondrej Lacina, Carsten Fauhl-Hassek, Jana Hajslova

Abstract

Ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (MS) and an alternative technology represented by direct analysis in real time coupled with quadrupole time-of-flight MS were investigated for metabolic fingerprinting of 343 red and white wine samples. Direct injection of pure wine and an extraction procedure optimized for isolation of polyphenols were used to compare different analytical and data handling strategies. After data processing and data pretreatment, principal component analysis was initially used to explore the data structure. Initially, the unsupervised models revealed a notable clustering according to the grape varieties, and therefore supervised orthogonal partial least squares discriminant analysis models were created and validated for separation of red and white wines according to the grape variety. The validated orthogonal partial least squares discriminant analysis models based on data (ions) recorded in positive ionization mode were able to classify correctly 95% of samples. In parallel, authentication parameters, such as origin and vintage, were evaluated, and they are discussed. A tentative identification of markers was performed using accurate mass measurement of MS and MS/MS spectra, different software packages and different online libraries. In this way, different flavonol glucosides and polyphenols were identified as wine markers according to the grape varieties.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
South Africa 1 1%
Unknown 65 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 24%
Student > Ph. D. Student 11 16%
Student > Master 7 10%
Professor > Associate Professor 6 9%
Student > Doctoral Student 3 4%
Other 9 13%
Unknown 15 22%
Readers by discipline Count As %
Chemistry 21 31%
Agricultural and Biological Sciences 15 22%
Biochemistry, Genetics and Molecular Biology 5 7%
Environmental Science 2 3%
Physics and Astronomy 1 1%
Other 3 4%
Unknown 20 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 19 November 2020.
All research outputs
#3,274,766
of 25,374,647 outputs
Outputs from Analytical & Bioanalytical Chemistry
#328
of 9,619 outputs
Outputs of similar age
#31,343
of 241,294 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#6
of 90 outputs
Altmetric has tracked 25,374,647 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 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 96% 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 241,294 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 86% of its contemporaries.
We're also able to compare this research output to 90 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.