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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of a personalized decision aid for breast cancer risk reduction and management
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2014
|
| DOI | 10.1186/1472-6947-14-4 |
| Pubmed ID | |
| Authors |
Elissa M Ozanne, Rebecca Howe, Zehra Omer, Laura J Esserman |
| Abstract |
Breast cancer risk reduction has the potential to decrease the incidence of the disease, yet remains underused. We report on the development a web-based tool that provides automated risk assessment and personalized decision support designed for collaborative use between patients and clinicians. |
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 % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| United Kingdom | 1 | <1% |
| Unknown | 143 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 23% |
| Student > Ph. D. Student | 24 | 16% |
| Student > Master | 20 | 14% |
| Student > Doctoral Student | 11 | 8% |
| Student > Bachelor | 9 | 6% |
| Other | 29 | 20% |
| Unknown | 19 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 27% |
| Psychology | 14 | 10% |
| Nursing and Health Professions | 13 | 9% |
| Social Sciences | 13 | 9% |
| Computer Science | 9 | 6% |
| Other | 30 | 21% |
| Unknown | 27 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 18 March 2019.
All research outputs
#697,818
of 22,739,983 outputs
Outputs from BMC Medical Informatics and Decision Making
#15
of 1,985 outputs
Outputs of similar age
#8,179
of 306,547 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 28 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 99% 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 306,547 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 97% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.