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A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big Data

Overview of attention for article published in Journal of Big Data, November 2020
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Mentioned by

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1 X user

Citations

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Readers on

mendeley
220 Mendeley
Title
A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big Data
Published in
Journal of Big Data, November 2020
DOI 10.1186/s40537-020-00382-x
Authors

Joffrey L. Leevy, Taghi M. Khoshgoftaar

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

Geographical breakdown

Country Count As %
Unknown 220 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 31 14%
Student > Ph. D. Student 25 11%
Lecturer 13 6%
Student > Doctoral Student 10 5%
Unspecified 6 3%
Other 26 12%
Unknown 109 50%
Readers by discipline Count As %
Computer Science 83 38%
Engineering 14 6%
Unspecified 6 3%
Business, Management and Accounting 2 <1%
Medicine and Dentistry 2 <1%
Other 5 2%
Unknown 108 49%
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 25 November 2020.
All research outputs
#18,771,452
of 23,263,851 outputs
Outputs from Journal of Big Data
#268
of 350 outputs
Outputs of similar age
#378,568
of 508,437 outputs
Outputs of similar age from Journal of Big Data
#11
of 22 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 350 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 5th percentile – i.e., 5% 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 508,437 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.