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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Establishing the effectiveness of patient decision aids: key constructs and measurement instruments
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2013
|
| DOI | 10.1186/1472-6947-13-s2-s12 |
| Pubmed ID | |
| Authors |
Karen R Sepucha, Cornelia M Borkhoff, Joanne Lally, Carrie A Levin, Daniel D Matlock, Chirk Jenn Ng, Mary E Ropka, Dawn Stacey, Natalie Joseph-Williams, Celia E Wills, Richard Thomson |
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 243 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 241 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 52 | 21% |
| Student > Ph. D. Student | 33 | 14% |
| Student > Master | 33 | 14% |
| Other | 21 | 9% |
| Student > Doctoral Student | 11 | 5% |
| Other | 53 | 22% |
| Unknown | 40 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 92 | 38% |
| Nursing and Health Professions | 30 | 12% |
| Psychology | 19 | 8% |
| Social Sciences | 11 | 5% |
| Computer Science | 6 | 2% |
| Other | 30 | 12% |
| Unknown | 55 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 12 August 2019.
All research outputs
#3,968,380
of 22,733,113 outputs
Outputs from BMC Medical Informatics and Decision Making
#345
of 1,985 outputs
Outputs of similar age
#47,519
of 306,996 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#12
of 43 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% 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 well, scoring higher than 82% 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 306,996 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.