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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Undermining an Anomaly-Based Intrusion Detection System Using Common Exploits
|
|---|---|
| Chapter number | 4 |
| Book title |
Recent Advances in Intrusion Detection
|
| Published in |
Lecture notes in computer science, October 2002
|
| DOI | 10.1007/3-540-36084-0_4 |
| Book ISBNs |
978-3-54-000020-4, 978-3-54-036084-1
|
| Authors |
Tan, Kymie M. C., Killourhy, Kevin S., Maxion, Roy A., Kymie M. C. Tan, Kevin S. Killourhy, Roy A. Maxion |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 3% |
| Spain | 2 | 2% |
| Portugal | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Pakistan | 1 | <1% |
| Mexico | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 106 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 30% |
| Student > Master | 26 | 22% |
| Student > Bachelor | 9 | 8% |
| Researcher | 7 | 6% |
| Student > Doctoral Student | 5 | 4% |
| Other | 14 | 12% |
| Unknown | 20 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 78 | 67% |
| Engineering | 10 | 9% |
| Chemical Engineering | 1 | <1% |
| Economics, Econometrics and Finance | 1 | <1% |
| Mathematics | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 23 | 20% |
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 31 May 2022.
All research outputs
#15,453,139
of 22,963,381 outputs
Outputs from Lecture notes in computer science
#4,658
of 8,137 outputs
Outputs of similar age
#43,050
of 47,555 outputs
Outputs of similar age from Lecture notes in computer science
#37
of 46 outputs
Altmetric has tracked 22,963,381 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 8,137 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 47,555 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.