| Title |
Emerging Concepts in Breast Cancer Risk Prediction
|
|---|---|
| Published in |
Current Obstetrics and Gynecology Reports, December 2012
|
| DOI | 10.1007/s13669-012-0034-3 |
| Pubmed ID | |
| Authors |
Gretchen L. Gierach, Xiaohong R. Yang, Jonine D. Figueroa, Mark E. Sherman |
| Abstract |
Developing improved methods for breast cancer risk prediction could facilitate the targeting of interventions to women at highest risk, thereby reducing mortality, while sparing low-risk women the costs and inconvenience of unnecessary testing and procedures. However, currently available risk assessment tools fall short of achieving accurate individual risk prediction, precluding implementation of this approach. Improving these tools will require the identification of new methods of assessing risk and increasing the accuracy of existing risk indicators. We review four emerging topics that may have importance for breast cancer risk assessment: etiological heterogeneity, genetic susceptibility, mammographic breast density and assessment of breast involution. |
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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 36% |
| Student > Bachelor | 2 | 18% |
| Student > Ph. D. Student | 1 | 9% |
| Unspecified | 1 | 9% |
| Student > Master | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 45% |
| Nursing and Health Professions | 1 | 9% |
| Unspecified | 1 | 9% |
| Social Sciences | 1 | 9% |
| Engineering | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 2 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 April 2013.
All research outputs
#18,337,420
of 22,708,120 outputs
Outputs from Current Obstetrics and Gynecology Reports
#49
of 85 outputs
Outputs of similar age
#217,880
of 280,499 outputs
Outputs of similar age from Current Obstetrics and Gynecology Reports
#1
of 3 outputs
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