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Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study

Overview of attention for article published in Journal of Information Security and Applications, February 2020
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1641 Mendeley
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Article details
Title
Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study
Published in
Journal of Information Security and Applications, February 2020
DOI 10.1016/j.jisa.2019.102419
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 1,641 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 1641 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 155 9%
Student > Master 150 9%
Lecturer 78 5%
Student > Bachelor 72 4%
Researcher 51 3%
Other 170 10%
Unknown 965 59%
Readers by discipline
Readers by discipline Count As %
Computer Science 445 27%
Engineering 124 8%
Unspecified 19 1%
Social Sciences 15 <1%
Business, Management and Accounting 13 <1%
Other 50 3%
Unknown 975 59%
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 05 November 2020.
All research outputs
#19,159,931
of 27,789,879 outputs
Outputs from Journal of Information Security and Applications
#116
of 200 outputs
Outputs of similar age
#306,848
of 482,332 outputs
Outputs of similar age from Journal of Information Security and Applications
#3
of 3 outputs
Altmetric has tracked 27,789,879 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 200 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 18th percentile – i.e., 18% 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 482,332 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.