| Title |
Using deep learning to solve computer security challenges: a survey
|
|---|---|
| Published in |
Cybersecurity, August 2020
|
| DOI | 10.1186/s42400-020-00055-5 |
| Authors |
Yoon-Ho Choi, Peng Liu, Zitong Shang, Haizhou Wang, Zhilong Wang, Lan Zhang, Junwei Zhou, Qingtian Zou |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 111 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 18% |
| Student > Master | 14 | 13% |
| Student > Bachelor | 7 | 6% |
| Researcher | 7 | 6% |
| Lecturer | 5 | 5% |
| Other | 15 | 14% |
| Unknown | 43 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 51 | 46% |
| Engineering | 6 | 5% |
| Economics, Econometrics and Finance | 2 | 2% |
| Mathematics | 1 | <1% |
| Business, Management and Accounting | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 48 | 43% |
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 18 June 2021.
All research outputs
#20,669,432
of 25,387,668 outputs
Outputs from Cybersecurity
#44
of 48 outputs
Outputs of similar age
#326,619
of 426,414 outputs
Outputs of similar age from Cybersecurity
#2
of 2 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 48 research outputs from this source. They receive a mean Attention Score of 4.2. This one scored the same or higher as 4 of them.
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 426,414 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
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.