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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detecting unknown malicious code by applying classification techniques on OpCode patterns
|
|---|---|
| Published in |
Security Informatics, February 2012
|
| DOI | 10.1186/2190-8532-1-1 |
| Authors |
Asaf Shabtai, Robert Moskovitch, Clint Feher, Shlomi Dolev, Yuval Elovici |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| Singapore | 1 | <1% |
| Iraq | 1 | <1% |
| Unknown | 160 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 40 | 24% |
| Student > Ph. D. Student | 37 | 22% |
| Researcher | 12 | 7% |
| Student > Bachelor | 10 | 6% |
| Student > Doctoral Student | 8 | 5% |
| Other | 24 | 14% |
| Unknown | 35 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 106 | 64% |
| Engineering | 10 | 6% |
| Agricultural and Biological Sciences | 3 | 2% |
| Physics and Astronomy | 3 | 2% |
| Linguistics | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 39 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 23 February 2021.
All research outputs
#6,945,076
of 24,226,848 outputs
Outputs from Security Informatics
#10
of 39 outputs
Outputs of similar age
#43,756
of 158,720 outputs
Outputs of similar age from Security Informatics
#2
of 2 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 39 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one scored the same or higher as 29 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 158,720 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 70% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.