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Investigating hardware acceleration for simulation of CFD quantum circuits

Overview of attention for article published in Frontiers in Mechanical Engineering, October 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Investigating hardware acceleration for simulation of CFD quantum circuits
Published in
Frontiers in Mechanical Engineering, October 2022
DOI 10.3389/fmech.2022.925637
Authors

Youssef Moawad, Wim Vanderbauwhede, René Steijl

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 22%
Student > Ph. D. Student 2 22%
Researcher 1 11%
Lecturer 1 11%
Unknown 3 33%
Readers by discipline Count As %
Chemical Engineering 2 22%
Unspecified 2 22%
Engineering 2 22%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 October 2022.
All research outputs
#12,989,873
of 22,994,508 outputs
Outputs from Frontiers in Mechanical Engineering
#77
of 499 outputs
Outputs of similar age
#158,320
of 439,236 outputs
Outputs of similar age from Frontiers in Mechanical Engineering
#1
of 35 outputs
Altmetric has tracked 22,994,508 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 499 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 84% 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 439,236 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 63% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.