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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ensemble-based multi-filter feature selection method for DDoS detection in cloud computing
|
|---|---|
| Published in |
EURASIP Journal on Wireless Communications and Networking, May 2016
|
| DOI | 10.1186/s13638-016-0623-3 |
| Authors |
Opeyemi Osanaiye, Haibin Cai, Kim-Kwang Raymond Choo, Ali Dehghantanha, Zheng Xu, Mqhele Dlodlo |
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 % |
|---|---|---|
| United Kingdom | 2 | 50% |
| Brazil | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 234 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 20% |
| Student > Master | 43 | 18% |
| Student > Bachelor | 14 | 6% |
| Lecturer | 13 | 6% |
| Researcher | 12 | 5% |
| Other | 29 | 12% |
| Unknown | 77 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 107 | 45% |
| Engineering | 26 | 11% |
| Business, Management and Accounting | 3 | 1% |
| Agricultural and Biological Sciences | 1 | <1% |
| Linguistics | 1 | <1% |
| Other | 8 | 3% |
| Unknown | 90 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 February 2023.
All research outputs
#4,300,739
of 25,373,627 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#19
of 549 outputs
Outputs of similar age
#64,580
of 319,076 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#1
of 10 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 549 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done particularly well, scoring higher than 96% 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 319,076 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 10 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