Title |
Verified Abstract Interpretation Techniques for Disassembling Low-level Self-modifying Code
|
---|---|
Published in |
Journal of Automated Reasoning, January 2016
|
DOI | 10.1007/s10817-015-9359-8 |
Authors |
Sandrine Blazy, Vincent Laporte, David Pichardie |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Iran, Islamic Republic of | 1 | 4% |
Germany | 1 | 4% |
Unknown | 22 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 25% |
Student > Ph. D. Student | 5 | 21% |
Student > Master | 4 | 17% |
Student > Postgraduate | 3 | 13% |
Student > Bachelor | 2 | 8% |
Other | 3 | 13% |
Unknown | 1 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 20 | 83% |
Mathematics | 1 | 4% |
Psychology | 1 | 4% |
Engineering | 1 | 4% |
Unknown | 1 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 27 May 2016.
All research outputs
#4,190,110
of 22,875,477 outputs
Outputs from Journal of Automated Reasoning
#4
of 136 outputs
Outputs of similar age
#73,674
of 396,585 outputs
Outputs of similar age from Journal of Automated Reasoning
#1
of 3 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 136 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 97% of its peers.
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 396,585 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 3 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