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Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm

Overview of attention for article published in EPJ Quantum Technology , May 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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21 Dimensions

Readers on

mendeley
14 Mendeley
Title
Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm
Published in
EPJ Quantum Technology , May 2022
DOI 10.1140/epjqt/s40507-022-00131-4
Authors

Charles Moussa, Hao Wang, Thomas Bäck, Vedran Dunjko

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 29%
Student > Ph. D. Student 1 7%
Unspecified 1 7%
Student > Bachelor 1 7%
Student > Master 1 7%
Other 0 0%
Unknown 6 43%
Readers by discipline Count As %
Physics and Astronomy 3 21%
Computer Science 3 21%
Unspecified 1 7%
Unknown 7 50%
Attention Score in Context

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 09 May 2022.
All research outputs
#18,146,485
of 23,312,088 outputs
Outputs from EPJ Quantum Technology
#88
of 119 outputs
Outputs of similar age
#298,471
of 442,003 outputs
Outputs of similar age from EPJ Quantum Technology
#5
of 8 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 119 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 23rd percentile – i.e., 23% 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 442,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.