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Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities

Overview of attention for article published in Journal of Artificial Intelligence Research, August 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 993)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
56 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
30 Mendeley
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Title
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
Published in
Journal of Artificial Intelligence Research, August 2024
DOI 10.1613/jair.1.15320
Authors

Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 56 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Student > Master 3 10%
Professor > Associate Professor 2 7%
Student > Doctoral Student 1 3%
Student > Bachelor 1 3%
Other 4 13%
Unknown 14 47%
Readers by discipline Count As %
Engineering 5 17%
Computer Science 4 13%
Mathematics 2 7%
Decision Sciences 2 7%
Unspecified 1 3%
Other 3 10%
Unknown 13 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 09 September 2024.
All research outputs
#1,233,519
of 26,746,748 outputs
Outputs from Journal of Artificial Intelligence Research
#22
of 993 outputs
Outputs of similar age
#13,080
of 252,412 outputs
Outputs of similar age from Journal of Artificial Intelligence Research
#1
of 21 outputs
Altmetric has tracked 26,746,748 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 993 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 97% 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 252,412 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 21 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 95% of its contemporaries.