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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DDoS attack detection with feature engineering and machine learning: the framework and performance evaluation
|
|---|---|
| Published in |
International Journal of Information Security, April 2019
|
| DOI | 10.1007/s10207-019-00434-1 |
| Authors |
Muhammad Aamir, Syed Mustafa Ali Zaidi |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 25% |
| Pakistan | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 119 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 10% |
| Student > Master | 11 | 9% |
| Student > Bachelor | 11 | 9% |
| Lecturer | 9 | 8% |
| Researcher | 5 | 4% |
| Other | 13 | 11% |
| Unknown | 58 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 40 | 34% |
| Engineering | 10 | 8% |
| Unspecified | 3 | 3% |
| Agricultural and Biological Sciences | 1 | <1% |
| Linguistics | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 59 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 21 June 2019.
All research outputs
#13,030,117
of 23,310,485 outputs
Outputs from International Journal of Information Security
#107
of 164 outputs
Outputs of similar age
#163,428
of 353,861 outputs
Outputs of similar age from International Journal of Information Security
#3
of 3 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 164 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one is in the 34th percentile – i.e., 34% 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 353,861 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 53% 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.