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Machine Learning for Automatic Classification of Tomato Ripening Stages Using Electrophysiological Recordings

Overview of attention for article published in Frontiers in Sustainable Food Systems, October 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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5 X users

Citations

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5 Dimensions

Readers on

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16 Mendeley
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Title
Machine Learning for Automatic Classification of Tomato Ripening Stages Using Electrophysiological Recordings
Published in
Frontiers in Sustainable Food Systems, October 2021
DOI 10.3389/fsufs.2021.696829
Authors

Gabriela Niemeyer Reissig, Thiago Francisco de Carvalho Oliveira, Ádrya Vanessa Lira Costa, André Geremia Parise, Danillo Roberto Pereira, Gustavo Maia Souza

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 19%
Student > Ph. D. Student 3 19%
Lecturer 2 13%
Other 1 6%
Student > Bachelor 1 6%
Other 0 0%
Unknown 6 38%
Readers by discipline Count As %
Physics and Astronomy 3 19%
Environmental Science 1 6%
Nursing and Health Professions 1 6%
Computer Science 1 6%
Energy 1 6%
Other 2 13%
Unknown 7 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 November 2021.
All research outputs
#7,077,478
of 23,310,485 outputs
Outputs from Frontiers in Sustainable Food Systems
#485
of 1,793 outputs
Outputs of similar age
#141,714
of 440,034 outputs
Outputs of similar age from Frontiers in Sustainable Food Systems
#58
of 175 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,793 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has gotten more attention than average, scoring higher than 72% 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 440,034 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 67% of its contemporaries.
We're also able to compare this research output to 175 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 65% of its contemporaries.