| Title |
Breast cancer pathology and stage are better predicted by risk stratification models that include mammographic density and common genetic variants
|
|---|---|
| Published in |
Breast Cancer Research and Treatment, April 2019
|
| DOI | 10.1007/s10549-019-05210-2 |
| Pubmed ID | |
| Authors |
D. Gareth R. Evans, Elaine F. Harkness, Adam R. Brentnall, Elke M. van Veen, Susan M. Astley, Helen Byers, Sarah Sampson, Jake Southworth, Paula Stavrinos, Sacha J. Howell, Anthony J. Maxwell, Anthony Howell, William G. Newman, Jack Cuzick |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 14% |
| Student > Ph. D. Student | 10 | 13% |
| Student > Bachelor | 8 | 10% |
| Other | 6 | 8% |
| Student > Master | 5 | 6% |
| Other | 9 | 11% |
| Unknown | 31 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 20% |
| Biochemistry, Genetics and Molecular Biology | 12 | 15% |
| Nursing and Health Professions | 5 | 6% |
| Agricultural and Biological Sciences | 5 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 37 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 June 2019.
All research outputs
#14,444,777
of 23,140,503 outputs
Outputs from Breast Cancer Research and Treatment
#3,114
of 4,691 outputs
Outputs of similar age
#195,322
of 351,417 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#37
of 65 outputs
Altmetric has tracked 23,140,503 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,691 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 31st percentile – i.e., 31% 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 351,417 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.