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A comprehensive framework for quantitative risk assessment of organizational networks using FAIR-modified attack trees

Overview of attention for article published in Frontiers in Computer Science, February 2024
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Mentioned by

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2 X users

Citations

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1 Dimensions

Readers on

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2 Mendeley
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Title
A comprehensive framework for quantitative risk assessment of organizational networks using FAIR-modified attack trees
Published in
Frontiers in Computer Science, February 2024
DOI 10.3389/fcomp.2024.1304288
Authors

Atul Rana, Sachin Gupta, Bhoomi Gupta

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Student > Ph. D. Student 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Computer Science 1 50%
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 06 April 2024.
All research outputs
#17,012,522
of 25,992,468 outputs
Outputs from Frontiers in Computer Science
#1
of 1 outputs
Outputs of similar age
#167,055
of 342,181 outputs
Outputs of similar age from Frontiers in Computer Science
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.4. This one scored the same or higher as 0 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 342,181 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 50% of its contemporaries.
We're also able to compare this research output to 1 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