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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prognostic gene signatures for patient stratification in breast cancer - accuracy, stability and interpretability of gene selection approaches using prior knowledge on protein-protein interactions
|
|---|---|
| Published in |
BMC Bioinformatics, May 2012
|
| DOI | 10.1186/1471-2105-13-69 |
| Pubmed ID | |
| Authors |
Yupeng Cun, Holger Fröhlich |
| Abstract |
Stratification of patients according to their clinical prognosis is a desirable goal in cancer treatment in order to achieve a better personalized medicine. Reliable predictions on the basis of gene signatures could support medical doctors on selecting the right therapeutic strategy. However, during the last years the low reproducibility of many published gene signatures has been criticized. It has been suggested that incorporation of network or pathway information into prognostic biomarker discovery could improve prediction performance. In the meanwhile a large number of different approaches have been suggested for the same purpose. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 50% |
| Germany | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Luxembourg | 1 | <1% |
| Unknown | 124 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 23% |
| Student > Ph. D. Student | 28 | 21% |
| Student > Master | 10 | 8% |
| Student > Bachelor | 9 | 7% |
| Other | 5 | 4% |
| Other | 12 | 9% |
| Unknown | 38 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 22% |
| Computer Science | 22 | 17% |
| Biochemistry, Genetics and Molecular Biology | 14 | 11% |
| Medicine and Dentistry | 11 | 8% |
| Mathematics | 3 | 2% |
| Other | 10 | 8% |
| Unknown | 43 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 06 June 2014.
All research outputs
#6,911,928
of 22,664,644 outputs
Outputs from BMC Bioinformatics
#2,681
of 7,247 outputs
Outputs of similar age
#48,702
of 163,482 outputs
Outputs of similar age from BMC Bioinformatics
#42
of 104 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
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 has gotten more attention than average, scoring higher than 61% 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 163,482 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 104 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 56% of its contemporaries.