| Title |
Detecting web attacks with end-to-end deep learning
|
|---|---|
| Published in |
Journal of Internet Services and Applications, August 2019
|
| DOI | 10.1186/s13174-019-0115-x |
| Authors |
Yao Pan, Fangzhou Sun, Zhongwei Teng, Jules White, Douglas C. Schmidt, Jacob Staples, Lee Krause |
X Demographics
The data shown below were collected from the profiles of 42 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 5% |
| United States | 2 | 5% |
| Brazil | 2 | 5% |
| India | 1 | 2% |
| Belgium | 1 | 2% |
| United Kingdom | 1 | 2% |
| Switzerland | 1 | 2% |
| South Africa | 1 | 2% |
| Sri Lanka | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 29 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 40 | 95% |
| Scientists | 1 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 167 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 28 | 17% |
| Student > Ph. D. Student | 20 | 12% |
| Student > Bachelor | 16 | 10% |
| Researcher | 8 | 5% |
| Lecturer | 8 | 5% |
| Other | 20 | 12% |
| Unknown | 67 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 62 | 37% |
| Engineering | 16 | 10% |
| Unspecified | 4 | 2% |
| Social Sciences | 2 | 1% |
| Mathematics | 1 | <1% |
| Other | 7 | 4% |
| Unknown | 75 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 14 April 2021.
All research outputs
#1,551,534
of 23,310,485 outputs
Outputs from Journal of Internet Services and Applications
#6
of 182 outputs
Outputs of similar age
#34,316
of 340,902 outputs
Outputs of similar age from Journal of Internet Services and Applications
#1
of 5 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 182 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 97% 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 340,902 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 89% of its contemporaries.
We're also able to compare this research output to 5 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