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ASSERT: attack synthesis and separation with entropy redistribution towards predictive cyber defense

Overview of attention for article published in Cybersecurity, May 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user
video
1 YouTube creator

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
31 Mendeley
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Title
ASSERT: attack synthesis and separation with entropy redistribution towards predictive cyber defense
Published in
Cybersecurity, May 2019
DOI 10.1186/s42400-019-0032-0
Authors

Ahmet Okutan, Shanchieh Jay Yang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Unspecified 2 6%
Researcher 2 6%
Other 1 3%
Student > Bachelor 1 3%
Other 3 10%
Unknown 15 48%
Readers by discipline Count As %
Engineering 6 19%
Computer Science 6 19%
Unspecified 2 6%
Business, Management and Accounting 1 3%
Psychology 1 3%
Other 1 3%
Unknown 14 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 March 2021.
All research outputs
#16,728,456
of 25,385,509 outputs
Outputs from Cybersecurity
#30
of 48 outputs
Outputs of similar age
#221,494
of 365,253 outputs
Outputs of similar age from Cybersecurity
#2
of 2 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 48 research outputs from this source. They receive a mean Attention Score of 4.2. This one scored the same or higher as 18 of them.
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 365,253 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.