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Application of SVM and ANN for intrusion detection

Overview of attention for article published in Computers & Operations Research, October 2005
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Mentioned by

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1 Q&A thread

Readers on

mendeley
230 Mendeley
citeulike
1 CiteULike
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Article details
Title
Application of SVM and ANN for intrusion detection
Published in
Computers & Operations Research, October 2005
DOI 10.1016/j.cor.2004.03.019
Authors

Wun-Hwa Chen, Sheng-Hsun Hsu, Hwang-Pin Shen

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 <1%
India 2 <1%
Saudi Arabia 1 <1%
Portugal 1 <1%
Malaysia 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 220 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 42 18%
Student > Ph. D. Student 35 15%
Student > Doctoral Student 16 7%
Researcher 14 6%
Student > Bachelor 12 5%
Other 30 13%
Unknown 81 35%
Readers by discipline
Readers by discipline Count As %
Computer Science 96 42%
Engineering 28 12%
Business, Management and Accounting 5 2%
Agricultural and Biological Sciences 3 1%
Chemistry 2 <1%
Other 12 5%
Unknown 84 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 March 2020.
All research outputs
#16,344,310
of 27,780,120 outputs
Outputs from Computers & Operations Research
#430
of 936 outputs
Outputs of similar age
#69,454
of 78,610 outputs
Outputs of similar age from Computers & Operations Research
#10
of 11 outputs
Altmetric has tracked 27,780,120 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 936 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 53% 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 78,610 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.