| Title |
Performance analysis of support vector machines classifiers in breast cancer mammography recognition
|
|---|---|
| Published in |
Neural Computing and Applications, January 2013
|
| DOI | 10.1007/s00521-012-1324-4 |
| Authors |
Ahmad Taher Azar, Shaimaa Ahmed El-Said |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 1 | 1% |
| Unknown | 94 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 18% |
| Student > Master | 14 | 15% |
| Student > Bachelor | 12 | 13% |
| Researcher | 9 | 9% |
| Student > Postgraduate | 7 | 7% |
| Other | 15 | 16% |
| Unknown | 21 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 24% |
| Engineering | 23 | 24% |
| Medicine and Dentistry | 4 | 4% |
| Agricultural and Biological Sciences | 3 | 3% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 10 | 11% |
| Unknown | 29 | 31% |
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 08 February 2014.
All research outputs
#18,563,902
of 23,839,820 outputs
Outputs from Neural Computing and Applications
#967
of 2,407 outputs
Outputs of similar age
#214,935
of 285,792 outputs
Outputs of similar age from Neural Computing and Applications
#3
of 3 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,407 research outputs from this source. They receive a mean Attention Score of 1.3. This one has gotten more attention than average, scoring higher than 55% 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 285,792 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.