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Fast quantum image encryption scheme based on multilayer short memory fractional order Lotka-Volterra system and dual-scale triangular map

Overview of attention for article published in Frontiers in Physics, October 2022
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Title
Fast quantum image encryption scheme based on multilayer short memory fractional order Lotka-Volterra system and dual-scale triangular map
Published in
Frontiers in Physics, October 2022
DOI 10.3389/fphy.2022.1028630
Authors

Yan Ma, Fang-Fang Yu, Li-Hua Gong, Wei-Ping Zou

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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 06 November 2022.
All research outputs
#20,490,417
of 23,053,169 outputs
Outputs from Frontiers in Physics
#1,625
of 3,565 outputs
Outputs of similar age
#351,368
of 442,485 outputs
Outputs of similar age from Frontiers in Physics
#110
of 441 outputs
Altmetric has tracked 23,053,169 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 1st percentile – i.e., 1% 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 442,485 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 441 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.