| Title |
“Andromaly”: a behavioral malware detection framework for android devices
|
|---|---|
| Published in |
Journal of Intelligent Information Systems, January 2011
|
| DOI | 10.1007/s10844-010-0148-x |
| Authors |
Asaf Shabtai, Uri Kanonov, Yuval Elovici, Chanan Glezer, Yael Weiss |
Mendeley readers
The data shown below were compiled from readership statistics for 524 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 4 | <1% |
| Turkey | 3 | <1% |
| Germany | 3 | <1% |
| Malaysia | 3 | <1% |
| India | 3 | <1% |
| United States | 3 | <1% |
| China | 3 | <1% |
| Sweden | 2 | <1% |
| Austria | 1 | <1% |
| Other | 10 | 2% |
| Unknown | 489 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 146 | 28% |
| Student > Ph. D. Student | 112 | 21% |
| Student > Bachelor | 55 | 10% |
| Researcher | 45 | 9% |
| Student > Doctoral Student | 19 | 4% |
| Other | 80 | 15% |
| Unknown | 67 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 367 | 70% |
| Engineering | 45 | 9% |
| Chemistry | 4 | <1% |
| Business, Management and Accounting | 4 | <1% |
| Social Sciences | 4 | <1% |
| Other | 15 | 3% |
| Unknown | 85 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 16 April 2024.
All research outputs
#2,564,522
of 23,510,717 outputs
Outputs from Journal of Intelligent Information Systems
#3
of 185 outputs
Outputs of similar age
#15,238
of 183,841 outputs
Outputs of similar age from Journal of Intelligent Information Systems
#1
of 2 outputs
Altmetric has tracked 23,510,717 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 185 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 98% 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 183,841 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% 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. This one has scored higher than all of them