| Title |
Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry
|
|---|---|
| Published in |
Cancer Epidemiology, Biomarkers & Prevention, February 2016
|
| DOI | 10.1158/1055-9965.epi-15-0838 |
| Pubmed ID | |
| Authors |
Gillian S Dite, Robert J MacInnis, Adrian Bickerstaffe, James G Dowty, Richard Allman, Carmel Apicella, Roger L Milne, Helen Tsimiklis, Kelly-Anne Phillips, Graham G Giles, Mary Beth Terry, Melissa C Southey, John L Hopper |
X Demographics
The data shown below were collected from the profiles of 5 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 | 4 | 80% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 1% |
| Unknown | 78 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 23% |
| Researcher | 14 | 18% |
| Other | 6 | 8% |
| Student > Bachelor | 5 | 6% |
| Student > Master | 5 | 6% |
| Other | 9 | 11% |
| Unknown | 22 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 22% |
| Biochemistry, Genetics and Molecular Biology | 12 | 15% |
| Agricultural and Biological Sciences | 10 | 13% |
| Computer Science | 4 | 5% |
| Mathematics | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 24 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 03 October 2023.
All research outputs
#1,475,520
of 25,604,262 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#467
of 4,855 outputs
Outputs of similar age
#25,696
of 406,961 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#12
of 80 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,855 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. This one has done particularly well, scoring higher than 90% 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 406,961 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.