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An Intrusion Detection System for the Internet of Things Based on Machine Learning: Review and Challenges

Overview of attention for article published in Symmetry, June 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
60 Mendeley
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Title
An Intrusion Detection System for the Internet of Things Based on Machine Learning: Review and Challenges
Published in
Symmetry, June 2021
DOI 10.3390/sym13061011
Authors

Ahmed Adnan, Abdullah Muhammed, Abdul Azim Abd Ghani, Azizol Abdullah, Fahrul Hakim

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

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 12%
Lecturer 5 8%
Student > Master 5 8%
Lecturer > Senior Lecturer 4 7%
Student > Postgraduate 3 5%
Other 7 12%
Unknown 29 48%
Readers by discipline Count As %
Computer Science 26 43%
Engineering 3 5%
Agricultural and Biological Sciences 1 2%
Unspecified 1 2%
Materials Science 1 2%
Other 1 2%
Unknown 27 45%
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 31 July 2023.
All research outputs
#7,892,784
of 24,453,338 outputs
Outputs from Symmetry
#269
of 2,832 outputs
Outputs of similar age
#163,483
of 437,332 outputs
Outputs of similar age from Symmetry
#9
of 146 outputs
Altmetric has tracked 24,453,338 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,832 research outputs from this source. They receive a mean Attention Score of 1.8. This one has done particularly well, scoring higher than 90% 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 437,332 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 62% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.