| Title |
Two-tier network anomaly detection model: a machine learning approach
|
|---|---|
| Published in |
Journal of Intelligent Information Systems, November 2015
|
| DOI | 10.1007/s10844-015-0388-x |
| Authors |
Hamed Haddad Pajouh, GholamHossein Dastghaibyfard, Sattar Hashemi |
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 % |
|---|---|---|
| Canada | 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 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 > Ph. D. Student | 20 | 13% |
| Student > Master | 15 | 10% |
| Student > Bachelor | 13 | 9% |
| Lecturer | 10 | 7% |
| Student > Postgraduate | 6 | 4% |
| Other | 24 | 16% |
| Unknown | 62 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 54 | 36% |
| Engineering | 15 | 10% |
| Psychology | 2 | 1% |
| Arts and Humanities | 1 | <1% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | <1% |
| Other | 7 | 5% |
| Unknown | 70 | 47% |
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 07 December 2021.
All research outputs
#6,860,950
of 23,975,976 outputs
Outputs from Journal of Intelligent Information Systems
#38
of 188 outputs
Outputs of similar age
#103,126
of 393,732 outputs
Outputs of similar age from Journal of Intelligent Information Systems
#1
of 1 outputs
Altmetric has tracked 23,975,976 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 188 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 79% 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 393,732 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 72% 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