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 |
Discovery of dominant and dormant genes from expression data using a novel generalization of SNR for multi-class problems
|
|---|---|
| Published in |
BMC Bioinformatics, October 2008
|
| DOI | 10.1186/1471-2105-9-425 |
| Pubmed ID | |
| Authors |
Yu-Shuen Tsai, Chin-Teng Lin, George C Tseng, I-Fang Chung, Nikhil Ranjan Pal |
| Abstract |
The Signal-to-Noise-Ratio (SNR) is often used for identification of biomarkers for two-class problems and no formal and useful generalization of SNR is available for multiclass problems. We propose innovative generalizations of SNR for multiclass cancer discrimination through introduction of two indices, Gene Dominant Index and Gene Dormant Index (GDIs). These two indices lead to the concepts of dominant and dormant genes with biological significance. We use these indices to develop methodologies for discovery of dominant and dormant biomarkers with interesting biological significance. The dominancy and dormancy of the identified biomarkers and their excellent discriminating power are also demonstrated pictorially using the scatterplot of individual gene and 2-D Sammon's projection of the selected set of genes. Using information from the literature we have shown that the GDI based method can identify dominant and dormant genes that play significant roles in cancer biology. These biomarkers are also used to design diagnostic prediction systems. |
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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 3% |
| Taiwan | 1 | 3% |
| Australia | 1 | 3% |
| Unknown | 29 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 25% |
| Student > Ph. D. Student | 5 | 16% |
| Professor | 4 | 13% |
| Student > Master | 3 | 9% |
| Professor > Associate Professor | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 7 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 25% |
| Engineering | 5 | 16% |
| Medicine and Dentistry | 4 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Agricultural and Biological Sciences | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 8 | 25% |
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 24 October 2011.
All research outputs
#15,237,301
of 22,655,397 outputs
Outputs from BMC Bioinformatics
#5,353
of 7,236 outputs
Outputs of similar age
#76,217
of 89,879 outputs
Outputs of similar age from BMC Bioinformatics
#33
of 40 outputs
Altmetric has tracked 22,655,397 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 7,236 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 18th percentile – i.e., 18% 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 89,879 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.