You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Review on Challenges and Future Research Directions for Machine Learning-Based Intrusion Detection System
|
|---|---|
| Published in |
Archives of Computational Methods in Engineering, May 2023
|
| DOI | 10.1007/s11831-023-09943-8 |
| Authors |
Ankit Thakkar, Ritika Lohiya |
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 % |
|---|---|---|
| Unknown | 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 17% |
| Unspecified | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Student > Doctoral Student | 1 | 4% |
| Unknown | 14 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 30% |
| Unspecified | 2 | 9% |
| Unknown | 14 | 61% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 20 May 2023.
All research outputs
#16,035,704
of 23,801,276 outputs
Outputs from Archives of Computational Methods in Engineering
#94
of 177 outputs
Outputs of similar age
#102,126
of 196,581 outputs
Outputs of similar age from Archives of Computational Methods in Engineering
#1
of 1 outputs
Altmetric has tracked 23,801,276 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 177 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 196,581 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
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