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Intrusion detection systems for IoT-based smart environments: a survey

Overview of attention for article published in Journal of Cloud Computing, December 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
133 Dimensions

Readers on

mendeley
366 Mendeley
Title
Intrusion detection systems for IoT-based smart environments: a survey
Published in
Journal of Cloud Computing, December 2018
DOI 10.1186/s13677-018-0123-6
Authors

Mohamed Faisal Elrawy, Ali Ismail Awad, Hesham F. A. Hamed

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 366 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 366 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 73 20%
Student > Ph. D. Student 49 13%
Researcher 32 9%
Student > Bachelor 27 7%
Lecturer 23 6%
Other 53 14%
Unknown 109 30%
Readers by discipline Count As %
Computer Science 180 49%
Engineering 35 10%
Business, Management and Accounting 6 2%
Unspecified 4 1%
Decision Sciences 4 1%
Other 16 4%
Unknown 121 33%

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 05 December 2018.
All research outputs
#8,546,621
of 14,322,412 outputs
Outputs from Journal of Cloud Computing
#64
of 138 outputs
Outputs of similar age
#204,736
of 374,550 outputs
Outputs of similar age from Journal of Cloud Computing
#11
of 21 outputs
Altmetric has tracked 14,322,412 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 138 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 52% 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 374,550 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.