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Detecting obfuscated malware using reduced opcode set and optimised runtime trace

Overview of attention for article published in Security Informatics, May 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

twitter
2 X users
peer_reviews
1 peer review site

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
44 Mendeley
Title
Detecting obfuscated malware using reduced opcode set and optimised runtime trace
Published in
Security Informatics, May 2016
DOI 10.1186/s13388-016-0027-2
Authors

Philip O’kane, Sakir Sezer, Kieran McLaughlin

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

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 16%
Student > Master 5 11%
Lecturer 4 9%
Researcher 4 9%
Student > Doctoral Student 3 7%
Other 7 16%
Unknown 14 32%
Readers by discipline Count As %
Computer Science 24 55%
Engineering 4 9%
Economics, Econometrics and Finance 1 2%
Agricultural and Biological Sciences 1 2%
Unknown 14 32%
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 11 April 2018.
All research outputs
#13,030,137
of 22,959,818 outputs
Outputs from Security Informatics
#12
of 38 outputs
Outputs of similar age
#138,302
of 299,321 outputs
Outputs of similar age from Security Informatics
#1
of 1 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 38 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one scored the same or higher as 26 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 299,321 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 52% of its contemporaries.
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