| Title |
Polymorphic malware detection using sequence classification methods and ensembles
|
|---|---|
| Published in |
EURASIP Journal on Information Security, January 2017
|
| DOI | 10.1186/s13635-017-0055-6 |
| Authors |
Jake Drew, Michael Hahsler, Tyler Moore |
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 % |
|---|---|---|
| Nigeria | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| Unknown | 54 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 16% |
| Student > Bachelor | 9 | 16% |
| Researcher | 3 | 5% |
| Student > Ph. D. Student | 3 | 5% |
| Unspecified | 2 | 4% |
| Other | 10 | 18% |
| Unknown | 19 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 38% |
| Engineering | 8 | 15% |
| Economics, Econometrics and Finance | 4 | 7% |
| Unspecified | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 17 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 February 2017.
All research outputs
#17,289,387
of 25,377,790 outputs
Outputs from EURASIP Journal on Information Security
#55
of 81 outputs
Outputs of similar age
#268,149
of 422,539 outputs
Outputs of similar age from EURASIP Journal on Information Security
#3
of 4 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 81 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 23rd percentile – i.e., 23% 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 422,539 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.