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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Leveraging Machine Learning Techniques for Windows Ransomware Network Traffic Detection
|
|---|---|
| Chapter number | 5 |
| Book title |
Cyber Threat Intelligence
|
| Published in |
arXiv, January 2018
|
| DOI | 10.1007/978-3-319-73951-9_5 |
| Book ISBNs |
978-3-31-973950-2, 978-3-31-973951-9
|
| Authors |
Omar M. K. Alhawi, James Baldwin, Ali Dehghantanha, Alhawi, Omar M. K., Baldwin, James, Dehghantanha, Ali |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 20% |
| France | 1 | 20% |
| Brazil | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 150 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 17% |
| Student > Ph. D. Student | 15 | 10% |
| Student > Bachelor | 14 | 9% |
| Researcher | 5 | 3% |
| Student > Doctoral Student | 4 | 3% |
| Other | 15 | 10% |
| Unknown | 71 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 56 | 37% |
| Engineering | 15 | 10% |
| Business, Management and Accounting | 3 | 2% |
| Agricultural and Biological Sciences | 2 | 1% |
| Arts and Humanities | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 71 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 03 September 2018.
All research outputs
#14,100,670
of 24,287,598 outputs
Outputs from arXiv
#222,116
of 1,031,237 outputs
Outputs of similar age
#220,128
of 450,671 outputs
Outputs of similar age from arXiv
#5,251
of 21,612 outputs
Altmetric has tracked 24,287,598 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,031,237 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 78% 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 450,671 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 50% of its contemporaries.
We're also able to compare this research output to 21,612 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.