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Fitting a collider in a quantum computer: tackling the challenges of quantum machine learning for big datasets

Overview of attention for article published in arXiv, December 2023
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
twitter
6 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Fitting a collider in a quantum computer: tackling the challenges of quantum machine learning for big datasets
Published in
arXiv, December 2023
DOI 10.3389/frai.2023.1268852
Pubmed ID
Authors

Miguel Caçador Peixoto, Nuno Filipe Castro, Miguel Crispim Romão, Maria Gabriela Jordão Oliveira, Inês Ochoa

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Student > Ph. D. Student 1 20%
Student > Doctoral Student 1 20%
Student > Master 1 20%
Readers by discipline Count As %
Physics and Astronomy 2 40%
Computer Science 1 20%
Medicine and Dentistry 1 20%
Unknown 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 29 April 2024.
All research outputs
#2,579,909
of 25,809,907 outputs
Outputs from arXiv
#41,080
of 945,565 outputs
Outputs of similar age
#39,285
of 362,830 outputs
Outputs of similar age from arXiv
#1,359
of 35,665 outputs
Altmetric has tracked 25,809,907 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 945,565 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 95% 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 362,830 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 35,665 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 96% of its contemporaries.