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Big data analysis and distributed deep learning for next-generation intrusion detection system optimization

Overview of attention for article published in Journal of Big Data, October 2019
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About this Attention Score

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

Mentioned by

twitter
7 X users

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
90 Mendeley
Title
Big data analysis and distributed deep learning for next-generation intrusion detection system optimization
Published in
Journal of Big Data, October 2019
DOI 10.1186/s40537-019-0248-6
Authors

Khloud Al Jallad, Mohamad Aljnidi, Mohammad Said Desouki

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 16%
Student > Ph. D. Student 12 13%
Lecturer 7 8%
Researcher 3 3%
Student > Doctoral Student 3 3%
Other 15 17%
Unknown 36 40%
Readers by discipline Count As %
Computer Science 27 30%
Engineering 7 8%
Business, Management and Accounting 6 7%
Arts and Humanities 2 2%
Unspecified 2 2%
Other 8 9%
Unknown 38 42%
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 29 September 2022.
All research outputs
#14,338,684
of 24,093,053 outputs
Outputs from Journal of Big Data
#175
of 364 outputs
Outputs of similar age
#179,526
of 353,916 outputs
Outputs of similar age from Journal of Big Data
#6
of 13 outputs
Altmetric has tracked 24,093,053 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 364 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 48th percentile – i.e., 48% 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 353,916 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.