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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A network module-based method for identifying cancer prognostic signatures
|
|---|---|
| Published in |
Genome Biology, December 2012
|
| DOI | 10.1186/gb-2012-13-12-r112 |
| Pubmed ID | |
| Authors |
Guanming Wu, Lincoln Stein |
| Abstract |
ABSTRACT: Discovering robust prognostic gene signatures as biomarkers using genomics data can be challenging. We have developed a simple but efficient method for discovering prognostic biomarkers in cancer gene expression data sets using modules derived from a highly reliable gene functional interaction network. When applied to breast cancer, we discover a novel 31-gene signature associated with patient survival. The signature replicates across 5 independent gene expression studies, and outperforms 48 published gene signatures. When applied to ovarian cancer, the algorithm identifies a 75-gene signature associated with patient survival. A Cytoscape plugin implementation of the signature discovery method is available at http://wiki.reactome.org/index.php/Reactome_FI_Cytoscape_Plugin. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 29% |
| Colombia | 1 | 14% |
| Canada | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| France | 3 | 1% |
| United Kingdom | 3 | 1% |
| Japan | 2 | <1% |
| Germany | 2 | <1% |
| India | 2 | <1% |
| Hungary | 1 | <1% |
| Ukraine | 1 | <1% |
| Italy | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 182 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 59 | 29% |
| Student > Ph. D. Student | 55 | 27% |
| Student > Master | 17 | 8% |
| Student > Bachelor | 16 | 8% |
| Professor > Associate Professor | 12 | 6% |
| Other | 34 | 17% |
| Unknown | 12 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 76 | 37% |
| Biochemistry, Genetics and Molecular Biology | 35 | 17% |
| Computer Science | 35 | 17% |
| Medicine and Dentistry | 17 | 8% |
| Mathematics | 6 | 3% |
| Other | 17 | 8% |
| Unknown | 19 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 13 January 2013.
All research outputs
#3,002,346
of 25,374,917 outputs
Outputs from Genome Biology
#2,253
of 4,467 outputs
Outputs of similar age
#28,115
of 286,439 outputs
Outputs of similar age from Genome Biology
#18
of 42 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 49th percentile – i.e., 49% 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 286,439 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.