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Quantum Fourier Convolutional Network

Overview of attention for article published in ACM Transactions on Multimedia Computing, Communications, and Applications, January 2023
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About this Attention Score

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

Mentioned by

patent
1 patent

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Quantum Fourier Convolutional Network
Published in
ACM Transactions on Multimedia Computing, Communications, and Applications, January 2023
DOI 10.1145/3514249
Authors

Feihong Shen, Jun Liu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 17%
Student > Master 3 17%
Researcher 2 11%
Other 1 6%
Student > Ph. D. Student 1 6%
Other 3 17%
Unknown 5 28%
Readers by discipline Count As %
Computer Science 5 28%
Physics and Astronomy 2 11%
Engineering 2 11%
Economics, Econometrics and Finance 1 6%
Chemistry 1 6%
Other 1 6%
Unknown 6 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 29 September 2022.
All research outputs
#8,544,090
of 25,392,582 outputs
Outputs from ACM Transactions on Multimedia Computing, Communications, and Applications
#70
of 304 outputs
Outputs of similar age
#160,168
of 474,025 outputs
Outputs of similar age from ACM Transactions on Multimedia Computing, Communications, and Applications
#2
of 8 outputs
Altmetric has tracked 25,392,582 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 304 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 32nd percentile – i.e., 32% 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 474,025 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 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.