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 |
Comparison of data-merging methods with SVM attribute selection and classification in breast cancer gene expression
|
|---|---|
| Published in |
BMC Bioinformatics, May 2012
|
| DOI | 10.1186/1471-2105-13-s7-s9 |
| Pubmed ID | |
| Authors |
Vitoantonio Bevilacqua, Paolo Pannarale, Mirko Abbrescia, Claudia Cava, Angelo Paradiso, Stefania Tommasi |
| Abstract |
DNA microarray data are used to identify genes which could be considered prognostic markers. However, due to the limited sample size of each study, the signatures are unstable in terms of the composing genes and may be limited in terms of performances. It is therefore of great interest to integrate different studies, thus increasing sample size. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Belgium | 1 | 2% |
| Unknown | 53 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 35% |
| Student > Master | 7 | 13% |
| Student > Bachelor | 7 | 13% |
| Researcher | 6 | 11% |
| Professor | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 38% |
| Biochemistry, Genetics and Molecular Biology | 7 | 13% |
| Engineering | 6 | 11% |
| Medicine and Dentistry | 5 | 9% |
| Agricultural and Biological Sciences | 4 | 7% |
| Other | 4 | 7% |
| Unknown | 8 | 15% |
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 09 May 2012.
All research outputs
#18,306,425
of 22,665,794 outputs
Outputs from BMC Bioinformatics
#6,284
of 7,247 outputs
Outputs of similar age
#126,158
of 163,481 outputs
Outputs of similar age from BMC Bioinformatics
#84
of 103 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 163,481 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.