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Experimenting quantum phenomena on NISQ computers using high level quantum programming

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

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
2 tweeters
reddit
1 Redditor

Readers on

mendeley
6 Mendeley
Title
Experimenting quantum phenomena on NISQ computers using high level quantum programming
Published in
EPJ Quantum Technology , February 2022
DOI 10.1140/epjqt/s40507-022-00126-1
Authors

Duc M. Tran, Duy V. Nguyen, Bin Ho Le, Hung Q. Nguyen

Twitter Demographics

The data shown below were collected from the profiles of 2 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 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 %
Unspecified 1 17%
Student > Bachelor 1 17%
Researcher 1 17%
Unknown 3 50%
Readers by discipline Count As %
Unspecified 1 17%
Computer Science 1 17%
Physics and Astronomy 1 17%
Unknown 3 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 January 2023.
All research outputs
#14,077,124
of 22,996,001 outputs
Outputs from EPJ Quantum Technology
#56
of 118 outputs
Outputs of similar age
#233,900
of 508,695 outputs
Outputs of similar age from EPJ Quantum Technology
#2
of 6 outputs
Altmetric has tracked 22,996,001 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 118 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 52% 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 508,695 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 52% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.