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Machine learning Calabi-Yau hypersurfaces

Overview of attention for article published in Physical Review D: Particles Fields Gravitation and Cosmology, March 2022
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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 (70th percentile)

Mentioned by

twitter
12 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Machine learning Calabi-Yau hypersurfaces
Published in
Physical Review D: Particles Fields Gravitation and Cosmology, March 2022
DOI 10.1103/physrevd.105.066002
Authors

David S. Berman, Yang-Hui He, Edward Hirst

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 17%
Student > Ph. D. Student 1 17%
Researcher 1 17%
Student > Master 1 17%
Unknown 2 33%
Readers by discipline Count As %
Physics and Astronomy 2 33%
Computer Science 1 17%
Mathematics 1 17%
Unknown 2 33%
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 11 May 2022.
All research outputs
#7,243,706
of 25,481,734 outputs
Outputs from Physical Review D: Particles Fields Gravitation and Cosmology
#8,894
of 44,352 outputs
Outputs of similar age
#142,816
of 447,273 outputs
Outputs of similar age from Physical Review D: Particles Fields Gravitation and Cosmology
#270
of 904 outputs
Altmetric has tracked 25,481,734 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 44,352 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 79% 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 447,273 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 904 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 70% of its contemporaries.