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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
ADAM: An Automatic and Extensible Platform to Stress Test Android Anti-virus Systems
|
|---|---|
| Chapter number | 5 |
| Book title |
Detection of Intrusions and Malware, and Vulnerability Assessment
|
| Published in |
Lecture notes in computer science, July 2012
|
| DOI | 10.1007/978-3-642-37300-8_5 |
| Book ISBNs |
978-3-64-237299-5, 978-3-64-237300-8
|
| Authors |
Min Zheng, Patrick P. C. Lee, John C. S. Lui |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 2% |
| Germany | 1 | <1% |
| Indonesia | 1 | <1% |
| Turkey | 1 | <1% |
| Sweden | 1 | <1% |
| India | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Malta | 1 | <1% |
| Luxembourg | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 94 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 27% |
| Student > Master | 28 | 27% |
| Researcher | 12 | 12% |
| Professor > Associate Professor | 5 | 5% |
| Student > Postgraduate | 4 | 4% |
| Other | 15 | 14% |
| Unknown | 12 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 76 | 73% |
| Engineering | 9 | 9% |
| Business, Management and Accounting | 2 | 2% |
| Chemistry | 1 | <1% |
| Psychology | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 15 | 14% |
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 20 April 2017.
All research outputs
#18,542,806
of 22,965,074 outputs
Outputs from Lecture notes in computer science
#6,023
of 8,137 outputs
Outputs of similar age
#126,686
of 165,159 outputs
Outputs of similar age from Lecture notes in computer science
#47
of 64 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,137 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 13th percentile – i.e., 13% 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 165,159 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.