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Towards provably efficient quantum algorithms for large-scale machine-learning models

Overview of attention for article published in Nature Communications, January 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
twitter
51 X users
wikipedia
2 Wikipedia pages
reddit
2 Redditors
q&a
1 Q&A thread
bluesky
2 Bluesky users

Readers on

mendeley
93 Mendeley
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Article details
Title
Towards provably efficient quantum algorithms for large-scale machine-learning models
Published in
Nature Communications, January 2024
DOI 10.1038/s41467-023-43957-x
Pubmed ID
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 51 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 9 10%
Student > Ph. D. Student 8 9%
Student > Postgraduate 5 5%
Student > Bachelor 4 4%
Professor 4 4%
Other 10 11%
Unknown 53 57%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 15 16%
Computer Science 10 11%
Engineering 4 4%
Chemistry 3 3%
Social Sciences 2 2%
Other 5 5%
Unknown 54 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 September 2026.
All research outputs
#1,094,750
of 34,339,954 outputs
Outputs from Nature Communications
#18,284
of 82,669 outputs
Outputs of similar age
#16,962
of 444,054 outputs
Outputs of similar age from Nature Communications
#451
of 2,265 outputs
Altmetric has tracked 34,339,954 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 82,669 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 49.5. This one has done well, scoring higher than 77% 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 444,054 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 96% of its contemporaries.
We're also able to compare this research output to 2,265 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.