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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predictors of competing mortality to invasive breast cancer incidence in the Canadian National Breast Screening study
|
|---|---|
| Published in |
BMC Cancer, July 2012
|
| DOI | 10.1186/1471-2407-12-299 |
| Pubmed ID | |
| Authors |
Sharareh Taghipour, Dragan Banjevic, Joanne Fernandes, Anthony B Miller, Neil Montgomery, Andrew K S Jardine, Bart J Harvey |
| Abstract |
Evaluating the cost-effectiveness of breast cancer screening requires estimates of the absolute risk of breast cancer, which is modified by various risk factors. Breast cancer incidence, and thus mortality, is altered by the occurrence of competing events. More accurate estimates of competing risks should improve the estimation of absolute risk of breast cancer and benefit from breast cancer screening, leading to more effective preventive, diagnostic, and treatment policies. We have previously described the effect of breast cancer risk factors on breast cancer incidence in the presence of competing risks. In this study, we investigate the association of the same risk factors with mortality as a competing event with breast cancer incidence. |
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 % |
|---|---|---|
| United States | 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 15% |
| Researcher | 4 | 15% |
| Student > Doctoral Student | 3 | 11% |
| Professor > Associate Professor | 3 | 11% |
| Professor | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 8 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 26% |
| Nursing and Health Professions | 4 | 15% |
| Engineering | 2 | 7% |
| Economics, Econometrics and Finance | 2 | 7% |
| Business, Management and Accounting | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 7 | 26% |
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 27 July 2012.
All research outputs
#15,247,248
of 22,671,366 outputs
Outputs from BMC Cancer
#4,099
of 8,243 outputs
Outputs of similar age
#104,122
of 163,942 outputs
Outputs of similar age from BMC Cancer
#44
of 76 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,243 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 39th percentile – i.e., 39% 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 163,942 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.