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Malware phylogeny generation using permutations of code

Overview of attention for article published in Journal in Computer Virology, September 2005
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Mentioned by

patent
2 patents

Citations

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144 Dimensions

Readers on

mendeley
75 Mendeley
citeulike
2 CiteULike
Title
Malware phylogeny generation using permutations of code
Published in
Journal in Computer Virology, September 2005
DOI 10.1007/s11416-005-0002-9
Authors

Md. Enamul. Karim, Andrew Walenstein, Arun Lakhotia, Laxmi Parida

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 7%
India 3 4%
United Kingdom 1 1%
Germany 1 1%
Spain 1 1%
Canada 1 1%
Unknown 63 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 29%
Student > Master 14 19%
Researcher 11 15%
Student > Bachelor 5 7%
Professor > Associate Professor 4 5%
Other 9 12%
Unknown 10 13%
Readers by discipline Count As %
Computer Science 54 72%
Engineering 2 3%
Agricultural and Biological Sciences 2 3%
Philosophy 1 1%
Mathematics 1 1%
Other 2 3%
Unknown 13 17%
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 22 September 2020.
All research outputs
#8,783,469
of 25,986,827 outputs
Outputs from Journal in Computer Virology
#1
of 1 outputs
Outputs of similar age
#25,582
of 70,870 outputs
Outputs of similar age from Journal in Computer Virology
#1
of 1 outputs
Altmetric has tracked 25,986,827 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 3.0. This one scored the same or higher as 0 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 70,870 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% 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