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Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding

Overview of attention for article published in Big Data Research, August 2023
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Mentioned by

twitter
1 X user

Citations

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5 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding
Published in
Big Data Research, August 2023
DOI 10.1016/j.bdr.2023.100395
Authors

Ling Ding, Peng Du, Haiwei Hou, Jian Zhang, Di Jin, Shifei Ding

Timeline

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 20%
Lecturer 1 10%
Unknown 7 70%
Readers by discipline Count As %
Philosophy 1 10%
Unspecified 1 10%
Business, Management and Accounting 1 10%
Computer Science 1 10%
Unknown 6 60%
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 29 May 2023.
All research outputs
#20,673,680
of 25,394,764 outputs
Outputs from Big Data Research
#78
of 109 outputs
Outputs of similar age
#259,225
of 358,370 outputs
Outputs of similar age from Big Data Research
#3
of 5 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 109 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 5th percentile – i.e., 5% 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 358,370 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 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.