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A refined filter for UHAD to improve anomaly detection

Overview of attention for article published in Security and Communication Networks, June 2016
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1 X user

Citations

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8 Dimensions

Readers on

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5 Mendeley
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Title
A refined filter for UHAD to improve anomaly detection
Published in
Security and Communication Networks, June 2016
DOI 10.1002/sec.1514
Authors

Asif Iqbal Hajamydeen, Nur Izura Udzir

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 40%
Student > Postgraduate 1 20%
Librarian 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Social Sciences 1 20%
Unknown 1 20%
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 30 May 2019.
All research outputs
#16,571,205
of 24,378,498 outputs
Outputs from Security and Communication Networks
#291
of 595 outputs
Outputs of similar age
#230,795
of 359,009 outputs
Outputs of similar age from Security and Communication Networks
#5
of 6 outputs
Altmetric has tracked 24,378,498 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 595 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 34th percentile – i.e., 34% 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 359,009 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.