↓ Skip to main content

Systematic literature review: Quantum machine learning and its applications

Overview of attention for article published in Computer Science Review, February 2024
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#39 of 148)
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
195 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Systematic literature review: Quantum machine learning and its applications
Published in
Computer Science Review, February 2024
DOI 10.1016/j.cosrev.2024.100619
Authors

David Peral-García, Juan Cruz-Benito, Francisco José García-Peñalvo

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 195 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 12%
Unspecified 18 9%
Researcher 16 8%
Student > Master 9 5%
Professor 5 3%
Other 21 11%
Unknown 102 52%
Readers by discipline Count As %
Computer Science 28 14%
Physics and Astronomy 21 11%
Unspecified 20 10%
Engineering 11 6%
Business, Management and Accounting 3 2%
Other 10 5%
Unknown 102 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 04 February 2024.
All research outputs
#6,415,934
of 25,967,806 outputs
Outputs from Computer Science Review
#39
of 148 outputs
Outputs of similar age
#85,502
of 359,573 outputs
Outputs of similar age from Computer Science Review
#1
of 2 outputs
Altmetric has tracked 25,967,806 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 148 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 73% 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 359,573 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 76% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them