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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluation of prediction models for the staging of prostate cancer
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2013
|
| DOI | 10.1186/1472-6947-13-126 |
| Pubmed ID | |
| Authors |
Susie Boyce, Yue Fan, Ronald William Watson, Thomas Brendan Murphy |
| Abstract |
There are dilemmas associated with the diagnosis and prognosis of prostate cancer which has lead to over diagnosis and over treatment. Prediction tools have been developed to assist the treatment of the disease. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 25% |
| India | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 3% |
| Unknown | 29 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 17% |
| Researcher | 5 | 17% |
| Student > Doctoral Student | 3 | 10% |
| Student > Master | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Other | 7 | 23% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 23% |
| Computer Science | 3 | 10% |
| Unspecified | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Agricultural and Biological Sciences | 2 | 7% |
| Other | 8 | 27% |
| Unknown | 6 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 December 2016.
All research outputs
#13,517,184
of 23,321,213 outputs
Outputs from BMC Medical Informatics and Decision Making
#968
of 2,025 outputs
Outputs of similar age
#110,394
of 212,790 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#31
of 47 outputs
Altmetric has tracked 23,321,213 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,025 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 50% 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 212,790 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.