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Phishing website prediction using base and ensemble classifier techniques with cross-validation

Overview of attention for article published in Cybersecurity, November 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user
reddit
3 Redditors

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
48 Mendeley
Title
Phishing website prediction using base and ensemble classifier techniques with cross-validation
Published in
Cybersecurity, November 2022
DOI 10.1186/s42400-022-00126-9
Pubmed ID
Authors

Anjaneya Awasthi, Noopur Goel

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

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 4%
Student > Bachelor 1 2%
Lecturer 1 2%
Unspecified 1 2%
Professor 1 2%
Other 3 6%
Unknown 39 81%
Readers by discipline Count As %
Computer Science 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Unspecified 1 2%
Physics and Astronomy 1 2%
Engineering 1 2%
Other 0 0%
Unknown 40 83%
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 22 November 2022.
All research outputs
#17,301,727
of 25,392,582 outputs
Outputs from Cybersecurity
#34
of 48 outputs
Outputs of similar age
#255,581
of 440,555 outputs
Outputs of similar age from Cybersecurity
#1
of 2 outputs
Altmetric has tracked 25,392,582 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 48 research outputs from this source. They receive a mean Attention Score of 4.2. This one scored the same or higher as 14 of them.
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 440,555 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them