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Methodologies based on ASCA to elucidate the influence of a subprocess: Vinification as a case of study

Overview of attention for article published in Journal of Chemometrics, January 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
4 X users
peer_reviews
1 peer review site

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Methodologies based on ASCA to elucidate the influence of a subprocess: Vinification as a case of study
Published in
Journal of Chemometrics, January 2023
DOI 10.1002/cem.3465
Authors

Daniel Schorn‐García, Barbara Giussani, Olga Busto, Laura Aceña, Montserrat Mestres, Ricard Boqué

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Student > Ph. D. Student 1 25%
Unspecified 1 25%
Readers by discipline Count As %
Chemistry 3 75%
Unspecified 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 29 October 2023.
All research outputs
#7,016,675
of 24,702,628 outputs
Outputs from Journal of Chemometrics
#89
of 592 outputs
Outputs of similar age
#127,799
of 455,527 outputs
Outputs of similar age from Journal of Chemometrics
#2
of 12 outputs
Altmetric has tracked 24,702,628 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 592 research outputs from this source. They receive a mean Attention Score of 2.5. 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 455,527 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 71% of its contemporaries.
We're also able to compare this research output to 12 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 91% of its contemporaries.