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Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation

Overview of attention for article published in EURASIP Journal on Information Security, October 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
118 Mendeley
Title
Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation
Published in
EURASIP Journal on Information Security, October 2019
DOI 10.1186/s13635-019-0098-y
Authors

Jivitesh Sharma, Charul Giri, Ole-Christoffer Granmo, Morten Goodwin

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

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 13%
Student > Master 15 13%
Researcher 5 4%
Lecturer 5 4%
Unspecified 4 3%
Other 15 13%
Unknown 59 50%
Readers by discipline Count As %
Computer Science 35 30%
Engineering 10 8%
Unspecified 4 3%
Agricultural and Biological Sciences 2 2%
Psychology 2 2%
Other 4 3%
Unknown 61 52%
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 01 November 2019.
All research outputs
#15,526,423
of 25,387,668 outputs
Outputs from EURASIP Journal on Information Security
#46
of 81 outputs
Outputs of similar age
#199,796
of 372,452 outputs
Outputs of similar age from EURASIP Journal on Information Security
#2
of 2 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 81 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 41st percentile – i.e., 41% 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 372,452 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% 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.