↓ Skip to main content

Explainable machine learning for phishing feature detection

Overview of attention for article published in Quality & Reliability Engineering International, July 2023
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
14 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Explainable machine learning for phishing feature detection
Published in
Quality & Reliability Engineering International, July 2023
DOI 10.1002/qre.3411
Authors

Maria Carla Calzarossa, Paolo Giudici, Rasha Zieni

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 14%
Researcher 2 14%
Unspecified 1 7%
Lecturer 1 7%
Unknown 8 57%
Readers by discipline Count As %
Computer Science 3 21%
Unspecified 2 14%
Mathematics 1 7%
Unknown 8 57%
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 10 August 2023.
All research outputs
#16,850,478
of 24,776,799 outputs
Outputs from Quality & Reliability Engineering International
#111
of 182 outputs
Outputs of similar age
#177,730
of 317,781 outputs
Outputs of similar age from Quality & Reliability Engineering International
#1
of 1 outputs
Altmetric has tracked 24,776,799 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 182 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 26th percentile – i.e., 26% 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 317,781 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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