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Intrusion detection in internet of things using supervised machine learning based on application and transport layer features using UNSW-NB15 data-set

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, January 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
131 Mendeley
Title
Intrusion detection in internet of things using supervised machine learning based on application and transport layer features using UNSW-NB15 data-set
Published in
EURASIP Journal on Wireless Communications and Networking, January 2021
DOI 10.1186/s13638-021-01893-8
Authors

Muhammad Ahmad, Qaiser Riaz, Muhammad Zeeshan, Hasan Tahir, Syed Ali Haider, Muhammad Safeer Khan

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

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 11%
Student > Ph. D. Student 13 10%
Lecturer 11 8%
Researcher 5 4%
Student > Bachelor 5 4%
Other 20 15%
Unknown 62 47%
Readers by discipline Count As %
Computer Science 36 27%
Engineering 22 17%
Unspecified 2 2%
Mathematics 1 <1%
Agricultural and Biological Sciences 1 <1%
Other 3 2%
Unknown 66 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 January 2022.
All research outputs
#8,433,608
of 25,387,668 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#102
of 549 outputs
Outputs of similar age
#199,960
of 523,536 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#1
of 8 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 549 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done well, scoring higher than 81% 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 523,536 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 61% of its contemporaries.
We're also able to compare this research output to 8 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