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Superconducting circuit architecture for digital-analog quantum computing

Overview of attention for article published in EPJ Quantum Technology , April 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 109)
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

twitter
13 tweeters

Readers on

mendeley
13 Mendeley
Title
Superconducting circuit architecture for digital-analog quantum computing
Published in
EPJ Quantum Technology , April 2022
DOI 10.1140/epjqt/s40507-022-00129-y
Authors

Jing Yu, Juan Carlos Retamal, Mikel Sanz, Enrique Solano, Francisco Albarrán-Arriagada

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Student > Master 2 15%
Unspecified 1 8%
Student > Ph. D. Student 1 8%
Lecturer 1 8%
Other 2 15%
Unknown 3 23%
Readers by discipline Count As %
Physics and Astronomy 6 46%
Unspecified 1 8%
Computer Science 1 8%
Engineering 1 8%
Unknown 4 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 07 May 2022.
All research outputs
#3,846,503
of 22,400,534 outputs
Outputs from EPJ Quantum Technology
#22
of 109 outputs
Outputs of similar age
#75,481
of 343,723 outputs
Outputs of similar age from EPJ Quantum Technology
#1
of 1 outputs
Altmetric has tracked 22,400,534 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 109 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. 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 343,723 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 78% of its contemporaries.
We're also able to compare this research output to 1 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