| Title |
Cybersecurity data science: an overview from machine learning perspective
|
|---|---|
| Published in |
Journal of Big Data, July 2020
|
| DOI | 10.1186/s40537-020-00318-5 |
| Authors |
Iqbal H. Sarker, A. S. M. Kayes, Shahriar Badsha, Hamed Alqahtani, Paul Watters, Alex Ng |
X Demographics
The data shown below were collected from the profiles of 50 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 | 8 | 16% |
| Germany | 3 | 6% |
| United Arab Emirates | 2 | 4% |
| Brazil | 2 | 4% |
| India | 2 | 4% |
| Italy | 2 | 4% |
| Ukraine | 1 | 2% |
| Australia | 1 | 2% |
| South Africa | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 23 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 48 | 96% |
| Scientists | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,294 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1294 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 106 | 8% |
| Student > Ph. D. Student | 84 | 6% |
| Student > Bachelor | 76 | 6% |
| Researcher | 43 | 3% |
| Lecturer | 40 | 3% |
| Other | 124 | 10% |
| Unknown | 821 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 241 | 19% |
| Engineering | 86 | 7% |
| Business, Management and Accounting | 27 | 2% |
| Social Sciences | 17 | 1% |
| Unspecified | 15 | 1% |
| Other | 70 | 5% |
| Unknown | 838 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 01 December 2023.
All research outputs
#815,284
of 25,142,442 outputs
Outputs from Journal of Big Data
#15
of 378 outputs
Outputs of similar age
#23,427
of 404,844 outputs
Outputs of similar age from Journal of Big Data
#1
of 20 outputs
Altmetric has tracked 25,142,442 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 378 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. 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 404,844 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.