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T-norms driven loss functions for machine learning

Overview of attention for article published in Applied Intelligence, February 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 2,092)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
30 X users

Citations

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4 Dimensions

Readers on

mendeley
14 Mendeley
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Title
T-norms driven loss functions for machine learning
Published in
Applied Intelligence, February 2023
DOI 10.1007/s10489-022-04383-6
Authors

Francesco Giannini, Michelangelo Diligenti, Marco Maggini, Marco Gori, Giuseppe Marra

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Researcher 1 7%
Student > Master 1 7%
Unknown 9 64%
Readers by discipline Count As %
Computer Science 2 14%
Mathematics 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Business, Management and Accounting 1 7%
Social Sciences 1 7%
Other 0 0%
Unknown 8 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 16 February 2023.
All research outputs
#2,368,529
of 26,433,695 outputs
Outputs from Applied Intelligence
#11
of 2,092 outputs
Outputs of similar age
#50,128
of 493,123 outputs
Outputs of similar age from Applied Intelligence
#1
of 100 outputs
Altmetric has tracked 26,433,695 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,092 research outputs from this source. They receive a mean Attention Score of 1.0. This one has done particularly well, scoring higher than 99% 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 493,123 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 89% of its contemporaries.
We're also able to compare this research output to 100 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 99% of its contemporaries.