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Intelligent phishing url detection using association rule mining

Overview of attention for article published in Human-centric Computing and Information Sciences, July 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
1 patent

Citations

dimensions_citation
101 Dimensions

Readers on

mendeley
145 Mendeley
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Title
Intelligent phishing url detection using association rule mining
Published in
Human-centric Computing and Information Sciences, July 2016
DOI 10.1186/s13673-016-0064-3
Authors

S. Carolin Jeeva, Elijah Blessing Rajsingh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 145 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 19%
Student > Bachelor 20 14%
Student > Ph. D. Student 14 10%
Lecturer 9 6%
Student > Postgraduate 7 5%
Other 22 15%
Unknown 46 32%
Readers by discipline Count As %
Computer Science 70 48%
Engineering 7 5%
Agricultural and Biological Sciences 4 3%
Business, Management and Accounting 3 2%
Unspecified 2 1%
Other 8 6%
Unknown 51 35%
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 18 January 2018.
All research outputs
#7,576,904
of 23,106,390 outputs
Outputs from Human-centric Computing and Information Sciences
#28
of 79 outputs
Outputs of similar age
#126,139
of 355,189 outputs
Outputs of similar age from Human-centric Computing and Information Sciences
#2
of 4 outputs
Altmetric has tracked 23,106,390 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 79 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 46th percentile – i.e., 46% 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 355,189 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.