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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Improving SIEM for Critical SCADA Water Infrastructures Using Machine Learning
|
|---|---|
| Chapter number | 1 |
| Book title |
Computer Security
|
| Published in |
arXiv, September 2018
|
| DOI | 10.1007/978-3-030-12786-2_1 |
| Book ISBNs |
978-3-03-012785-5, 978-3-03-012786-2
|
| Authors |
Hanan Hindy, David Brosset, Ethan Bayne, Amar Seeam, Xavier Bellekens, Hindy, Hanan, Brosset, David, Bayne, Ethan, Seeam, Amar, Bellekens, Xavier |
X Demographics
The data shown below were collected from the profiles of 12 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 | 2 | 17% |
| United States | 2 | 17% |
| France | 1 | 8% |
| Kenya | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 92% |
| Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 16% |
| Student > Master | 7 | 12% |
| Researcher | 6 | 11% |
| Student > Bachelor | 3 | 5% |
| Professor | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 20 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 33% |
| Engineering | 10 | 18% |
| Environmental Science | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 22 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 21 December 2019.
All research outputs
#6,289,462
of 24,998,746 outputs
Outputs from arXiv
#119,601
of 1,020,408 outputs
Outputs of similar age
#101,445
of 341,292 outputs
Outputs of similar age from arXiv
#2,963
of 21,802 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,020,408 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 88% 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 341,292 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 70% of its contemporaries.
We're also able to compare this research output to 21,802 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.