| Title |
A new intrusion detection system using support vector machines and hierarchical clustering
|
|---|---|
| Published in |
The VLDB Journal, August 2006
|
| DOI | 10.1007/s00778-006-0002-5 |
| Authors |
Latifur Khan, Mamoun Awad, Bhavani Thuraisingham |
Mendeley readers
The data shown below were compiled from readership statistics for 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 2 | <1% |
| United Kingdom | 2 | <1% |
| Malaysia | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Italy | 1 | <1% |
| India | 1 | <1% |
| Pakistan | 1 | <1% |
| Canada | 1 | <1% |
| Saudi Arabia | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 195 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 52 | 25% |
| Student > Ph. D. Student | 48 | 23% |
| Researcher | 15 | 7% |
| Student > Bachelor | 14 | 7% |
| Student > Doctoral Student | 9 | 4% |
| Other | 31 | 15% |
| Unknown | 39 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 132 | 63% |
| Engineering | 21 | 10% |
| Agricultural and Biological Sciences | 4 | 2% |
| Unspecified | 1 | <1% |
| Business, Management and Accounting | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 46 | 22% |
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 20 October 2015.
All research outputs
#7,863,403
of 23,842,189 outputs
Outputs from The VLDB Journal
#108
of 366 outputs
Outputs of similar age
#23,941
of 68,232 outputs
Outputs of similar age from The VLDB Journal
#5
of 15 outputs
Altmetric has tracked 23,842,189 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 366 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 9th percentile – i.e., 9% 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 68,232 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.