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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accuracy validation of adjuvant! online in Taiwanese breast cancer patients - a 10-year analysis
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2012
|
| DOI | 10.1186/1472-6947-12-108 |
| Pubmed ID | |
| Authors |
Kuo Yao-Lung, Chen Dar-Ren, Chang Tsai-Wang |
| Abstract |
Adjuvant! Online ( http://www.adjuvantonline.com) is an Internet-based software program that allows clinicians to make predictions about the benefits of adjuvant therapy and 10-year survival probability for early-stage breast cancer patients. This model has been validated in Western countries such as the United States, United Kingdom, Canada, Germany, and Holland. The aim of our study was to investigate the performance and accuracy of Adjuvant! Online in a cohort of Taiwanese breast cancer patients. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 67% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 15% |
| Student > Master | 7 | 12% |
| Researcher | 6 | 10% |
| Student > Bachelor | 6 | 10% |
| Student > Postgraduate | 4 | 7% |
| Other | 10 | 17% |
| Unknown | 18 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 28% |
| Psychology | 6 | 10% |
| Computer Science | 4 | 7% |
| Nursing and Health Professions | 3 | 5% |
| Arts and Humanities | 2 | 3% |
| Other | 9 | 15% |
| Unknown | 19 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 20 September 2012.
All research outputs
#14,151,132
of 22,678,224 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,102
of 1,979 outputs
Outputs of similar age
#98,411
of 170,681 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#31
of 39 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,979 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 38th percentile – i.e., 38% 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 170,681 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.