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Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry

Overview of attention for article published in Machine Learning: Science and Technology, August 2021
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
46 X users

Readers on

mendeley
38 Mendeley
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Article details
Title
Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry
Published in
Machine Learning: Science and Technology, August 2021
DOI 10.1088/2632-2153/ac14ad
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 46 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 8 21%
Student > Ph. D. Student 6 16%
Professor 3 8%
Other 2 5%
Student > Doctoral Student 2 5%
Other 6 16%
Unknown 11 29%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 8 21%
Chemistry 5 13%
Mathematics 4 11%
Computer Science 3 8%
Materials Science 2 5%
Other 2 5%
Unknown 14 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 03 August 2022.
All research outputs
#1,980,384
of 33,148,248 outputs
Outputs from Machine Learning: Science and Technology
#62
of 995 outputs
Outputs of similar age
#37,340
of 460,104 outputs
Outputs of similar age from Machine Learning: Science and Technology
#5
of 41 outputs
Altmetric has tracked 33,148,248 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 995 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 93% 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 460,104 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 91% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.