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Identifying Malicious Code Through Reverse Engineering

Overview of attention for book
Overall attention for this book and its chapters
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Mentioned by

patent
1 patent

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
61 Mendeley
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Title
Identifying Malicious Code Through Reverse Engineering
Published by
ADS, February 2009
DOI 10.1007/978-0-387-89468-3
ISBNs
978-0-387-09824-1, 978-0-387-89468-3
Editors

Singh, Abhishek

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 2 3%
Portugal 1 2%
France 1 2%
Brazil 1 2%
Sweden 1 2%
Malaysia 1 2%
Mexico 1 2%
Egypt 1 2%
Russia 1 2%
Other 1 2%
Unknown 50 82%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 15%
Student > Ph. D. Student 7 11%
Student > Bachelor 6 10%
Student > Postgraduate 6 10%
Researcher 6 10%
Other 16 26%
Unknown 11 18%
Readers by discipline Count As %
Computer Science 38 62%
Engineering 5 8%
Business, Management and Accounting 2 3%
Physics and Astronomy 2 3%
Agricultural and Biological Sciences 1 2%
Other 2 3%
Unknown 11 18%
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 28 June 2012.
All research outputs
#7,553,524
of 23,041,514 outputs
Outputs from ADS
#9,313
of 37,451 outputs
Outputs of similar age
#33,110
of 93,756 outputs
Outputs of similar age from ADS
#102
of 372 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% 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 93,756 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 372 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.