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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evidence-based patient choice: a prostate cancer decision aid in plain language
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2005
|
| DOI | 10.1186/1472-6947-5-16 |
| Pubmed ID | |
| Authors |
Margaret Holmes-Rovner, Sue Stableford, Angela Fagerlin, John T Wei, Rodney L Dunn, Janet Ohene-Frempong, Karen Kelly-Blake, David R Rovner |
| Abstract |
Decision aids (DA) to assist patients in evaluating treatment options and sharing in decision making have proliferated in recent years. Most require high literacy and do not use plain language principles. We describe one of the first attempts to design a decision aid using principles from reading research and document design. The plain language DA prototype addressed treatment decisions for localized prostate cancer. Evaluation assessed impact on knowledge, decisions, and discussions with doctors in men newly diagnosed with prostate cancer. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 110 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 14% |
| Student > Master | 15 | 13% |
| Student > Doctoral Student | 13 | 12% |
| Researcher | 11 | 10% |
| Professor > Associate Professor | 7 | 6% |
| Other | 28 | 25% |
| Unknown | 22 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 27% |
| Psychology | 12 | 11% |
| Computer Science | 7 | 6% |
| Social Sciences | 7 | 6% |
| Unspecified | 7 | 6% |
| Other | 19 | 17% |
| Unknown | 30 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 21 June 2014.
All research outputs
#6,405,958
of 22,757,541 outputs
Outputs from BMC Medical Informatics and Decision Making
#613
of 1,985 outputs
Outputs of similar age
#17,823
of 56,619 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 4 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,985 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 67% 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 56,619 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.