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Automatic malware classification and new malware detection using machine learning

Overview of attention for article published in Frontiers of Information Technology & Electronic Engineering, October 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
110 Dimensions

Readers on

mendeley
178 Mendeley
Title
Automatic malware classification and new malware detection using machine learning
Published in
Frontiers of Information Technology & Electronic Engineering, October 2017
DOI 10.1631/fitee.1601325
Authors

Liu Liu, Bao-sheng Wang, Bo Yu, Qiu-xi Zhong

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 178 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 13%
Student > Bachelor 19 11%
Student > Ph. D. Student 16 9%
Lecturer 11 6%
Student > Doctoral Student 8 4%
Other 21 12%
Unknown 80 45%
Readers by discipline Count As %
Computer Science 74 42%
Engineering 12 7%
Unspecified 3 2%
Social Sciences 3 2%
Business, Management and Accounting 2 1%
Other 2 1%
Unknown 82 46%
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 14 November 2017.
All research outputs
#14,121,063
of 23,885,338 outputs
Outputs from Frontiers of Information Technology & Electronic Engineering
#48
of 68 outputs
Outputs of similar age
#168,198
of 331,609 outputs
Outputs of similar age from Frontiers of Information Technology & Electronic Engineering
#4
of 5 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 68 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 30th percentile – i.e., 30% 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 331,609 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% 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.