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Image Encryption Algorithm Based on Compressive Sensing and Fractional DCT via Polynomial Interpolation

Overview of attention for article published in Machine Intelligence Research, December 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
4 X users

Citations

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10 Dimensions

Readers on

mendeley
11 Mendeley
Title
Image Encryption Algorithm Based on Compressive Sensing and Fractional DCT via Polynomial Interpolation
Published in
Machine Intelligence Research, December 2018
DOI 10.1007/s11633-018-1159-2
Authors

Ya-Ru Liang, Zhi-Yong Xiao

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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Professor > Associate Professor 1 9%
Lecturer 1 9%
Student > Master 1 9%
Unknown 5 45%
Readers by discipline Count As %
Engineering 4 36%
Computer Science 2 18%
Unknown 5 45%
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 26 April 2020.
All research outputs
#15,327,834
of 25,732,188 outputs
Outputs from Machine Intelligence Research
#114
of 468 outputs
Outputs of similar age
#233,405
of 448,110 outputs
Outputs of similar age from Machine Intelligence Research
#1
of 10 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 468 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 75% 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 448,110 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 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