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A case study of variational quantum algorithms for a job shop scheduling problem

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

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
35 Mendeley
Title
A case study of variational quantum algorithms for a job shop scheduling problem
Published in
EPJ Quantum Technology , February 2022
DOI 10.1140/epjqt/s40507-022-00123-4
Authors

David Amaro, Matthias Rosenkranz, Nathan Fitzpatrick, Koji Hirano, Mattia Fiorentini

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 29%
Student > Ph. D. Student 5 14%
Student > Master 3 9%
Student > Bachelor 2 6%
Lecturer 1 3%
Other 1 3%
Unknown 13 37%
Readers by discipline Count As %
Physics and Astronomy 11 31%
Engineering 5 14%
Computer Science 3 9%
Chemistry 2 6%
Unknown 14 40%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 February 2022.
All research outputs
#14,631,015
of 21,769,404 outputs
Outputs from EPJ Quantum Technology
#69
of 102 outputs
Outputs of similar age
#229,701
of 404,803 outputs
Outputs of similar age from EPJ Quantum Technology
#1
of 1 outputs
Altmetric has tracked 21,769,404 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 102 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 404,803 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
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