Title |
A Simulation Model to Predict the Impact of Prophylactic Surgery and Screening on the Life Expectancy of BRCA1 and BRCA2 Mutation Carriers
|
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Published in |
Cancer Epidemiology, Biomarkers & Prevention, July 2012
|
DOI | 10.1158/1055-9965.epi-12-0149 |
Pubmed ID | |
Authors |
Bronislava M. Sigal, Diego F. Munoz, Allison W. Kurian, Sylvia K. Plevritis |
Abstract |
Women with inherited mutations in the BRCA1 or BRCA2 (BRCA1/2) genes are recommended to undergo a number of intensive cancer risk-reducing strategies, including prophylactic mastectomy, prophylactic oophorectomy, and screening. We estimate the impact of different risk-reducing options at various ages on life expectancy. |
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 % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Unknown | 75 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 17% |
Student > Ph. D. Student | 12 | 16% |
Student > Bachelor | 11 | 14% |
Student > Master | 6 | 8% |
Student > Doctoral Student | 5 | 7% |
Other | 14 | 18% |
Unknown | 15 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 41 | 54% |
Agricultural and Biological Sciences | 6 | 8% |
Biochemistry, Genetics and Molecular Biology | 3 | 4% |
Nursing and Health Professions | 3 | 4% |
Psychology | 2 | 3% |
Other | 5 | 7% |
Unknown | 16 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 08 February 2016.
All research outputs
#1,830,223
of 25,564,614 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#559
of 4,855 outputs
Outputs of similar age
#10,579
of 177,855 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#4
of 35 outputs
Altmetric has tracked 25,564,614 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd 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 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 177,855 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 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.