| Title |
A deep learning framework for predicting cyber attacks rates
|
|---|---|
| Published in |
EURASIP Journal on Information Security, May 2019
|
| DOI | 10.1186/s13635-019-0090-6 |
| Authors |
Xing Fang, Maochao Xu, Shouhuai Xu, Peng Zhao |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 101 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 13% |
| Student > Master | 12 | 12% |
| Researcher | 9 | 9% |
| Student > Doctoral Student | 7 | 7% |
| Student > Bachelor | 5 | 5% |
| Other | 11 | 11% |
| Unknown | 44 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 33% |
| Engineering | 10 | 10% |
| Economics, Econometrics and Finance | 3 | 3% |
| Business, Management and Accounting | 2 | 2% |
| Mathematics | 2 | 2% |
| Other | 5 | 5% |
| Unknown | 46 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 April 2023.
All research outputs
#7,963,683
of 25,385,509 outputs
Outputs from EURASIP Journal on Information Security
#25
of 81 outputs
Outputs of similar age
#136,267
of 364,073 outputs
Outputs of similar age from EURASIP Journal on Information Security
#1
of 1 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 81 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 69% 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 364,073 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 61% of its contemporaries.
We're also able to compare this research output to 1 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