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Mendeley readers
Attention Score in Context
| Title |
Cell cycle correlated genes dictate the prognostic power of breast cancer gene lists
|
|---|---|
| Published in |
BMC Medical Genomics, April 2008
|
| DOI | 10.1186/1755-8794-1-11 |
| Pubmed ID | |
| Authors |
Jonathan D Mosley, Ruth A Keri |
| Abstract |
Numerous gene lists or "classifiers" have been derived from global gene expression data that assign breast cancers to good and poor prognosis groups. A remarkable feature of these molecular signatures is that they have few genes in common, prompting speculation that they may use distinct genes to measure the same pathophysiological process(es), such as proliferation. However, this supposition has not been rigorously tested. If gene-based classifiers function by measuring a minimal number of cellular processes, we hypothesized that the informative genes for these processes could be identified and the data sets could be adjusted for the predictive contributions of those genes. Such adjustment would then attenuate the predictive function of any signature measuring that same process. |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Spain | 1 | 3% |
| Unknown | 29 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 39% |
| Student > Ph. D. Student | 7 | 23% |
| Other | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Lecturer > Senior Lecturer | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 26% |
| Agricultural and Biological Sciences | 7 | 23% |
| Biochemistry, Genetics and Molecular Biology | 5 | 16% |
| Computer Science | 4 | 13% |
| Mathematics | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 2 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 February 2011.
All research outputs
#4,312,333
of 25,374,917 outputs
Outputs from BMC Medical Genomics
#276
of 2,444 outputs
Outputs of similar age
#14,478
of 91,827 outputs
Outputs of similar age from BMC Medical Genomics
#5
of 16 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 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 88% 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 91,827 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 16 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 68% of its contemporaries.