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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BreastMark: An Integrated Approach to Mining Publicly Available Transcriptomic Datasets Relating to Breast Cancer Outcome
|
|---|---|
| Published in |
Breast Cancer Research, July 2013
|
| DOI | 10.1186/bcr3444 |
| Pubmed ID | |
| Authors |
Stephen F Madden, Colin Clarke, Patricia Gaule, Sinead T Aherne, Norma O'Donovan, Martin Clynes, John Crown, William M Gallagher |
| Abstract |
Breast cancer is a complex heterogeneous disease for which a substantial resource of transcriptomic data is available. Gene expression data have facilitated the division of breast cancer into, at least, five molecular subtypes, namely luminal A, luminal B, HER2, normal-like and basal. Once identified, breast cancer subtypes can inform clinical decisions surrounding patient treatment and prognosis. Indeed, it is important to identify patients at risk of developing aggressive disease so as to tailor the level of clinical intervention. |
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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 100 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 25% |
| Student > Ph. D. Student | 17 | 17% |
| Student > Master | 9 | 9% |
| Other | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Other | 21 | 21% |
| Unknown | 16 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 22% |
| Agricultural and Biological Sciences | 16 | 16% |
| Medicine and Dentistry | 15 | 15% |
| Computer Science | 10 | 10% |
| Immunology and Microbiology | 3 | 3% |
| Other | 11 | 11% |
| Unknown | 24 | 24% |
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 29 June 2023.
All research outputs
#7,356,343
of 25,374,647 outputs
Outputs from Breast Cancer Research
#848
of 2,053 outputs
Outputs of similar age
#58,689
of 206,406 outputs
Outputs of similar age from Breast Cancer Research
#8
of 21 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,053 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has gotten more attention than average, scoring higher than 57% 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 206,406 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 70% of its contemporaries.
We're also able to compare this research output to 21 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 61% of its contemporaries.