| Title |
An optimized five-gene multi-platform predictor of hormone receptor negative and triple negative breast cancer metastatic risk
|
|---|---|
| Published in |
Breast Cancer Research, October 2013
|
| DOI | 10.1186/bcr3567 |
| Pubmed ID | |
| Authors |
Christina Yau, John Sninsky, Shirley Kwok, Alice Wang, Amy Degnim, James N Ingle, Cheryl Gillett, Andrew Tutt, Fred Waldman, Dan Moore, Laura Esserman, Christopher C Benz |
| Abstract |
Outcome predictors in use today are prognostic only for hormone receptor-positive (HRpos) breast cancer. Although microarray-derived multigene predictors of hormone receptor-negative (HRneg) and/or triple negative (Tneg) breast cancer recurrence risk are emerging, to date none have been transferred to clinically suitable assay platforms (for example, RT-PCR) or validated against formalin-fixed paraffin-embedded (FFPE) HRneg/Tneg samples. |
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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 24% |
| Student > Ph. D. Student | 9 | 20% |
| Other | 7 | 15% |
| Student > Bachelor | 5 | 11% |
| Lecturer | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 26% |
| Biochemistry, Genetics and Molecular Biology | 9 | 20% |
| Agricultural and Biological Sciences | 7 | 15% |
| Nursing and Health Professions | 2 | 4% |
| Unspecified | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 9 | 20% |
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 31 August 2023.
All research outputs
#8,261,756
of 25,373,627 outputs
Outputs from Breast Cancer Research
#943
of 2,052 outputs
Outputs of similar age
#73,487
of 225,927 outputs
Outputs of similar age from Breast Cancer Research
#18
of 33 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 2,052 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 53% 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 225,927 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 66% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.