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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2013
|
| DOI | 10.1186/1472-6947-13-s2-s7 |
| Pubmed ID | |
| Authors |
Lyndal J Trevena, Brian J Zikmund-Fisher, Adrian Edwards, Wolfgang Gaissmaier, Mirta Galesic, Paul KJ Han, John King, Margaret L Lawson, Suzanne K Linder, Isaac Lipkus, Elissa Ozanne, Ellen Peters, Danielle Timmermans, Steven Woloshin |
X Demographics
The data shown below were collected from the profiles of 39 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 38% |
| Canada | 4 | 10% |
| Côte d'Ivoire | 1 | 3% |
| Australia | 1 | 3% |
| Japan | 1 | 3% |
| Djibouti | 1 | 3% |
| India | 1 | 3% |
| Unknown | 15 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 19 | 49% |
| Members of the public | 11 | 28% |
| Practitioners (doctors, other healthcare professionals) | 8 | 21% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 513 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | <1% |
| United Kingdom | 4 | <1% |
| Italy | 2 | <1% |
| Netherlands | 1 | <1% |
| Australia | 1 | <1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| Switzerland | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 495 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 75 | 15% |
| Student > Ph. D. Student | 72 | 14% |
| Student > Master | 68 | 13% |
| Student > Doctoral Student | 33 | 6% |
| Other | 32 | 6% |
| Other | 111 | 22% |
| Unknown | 122 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 121 | 24% |
| Psychology | 43 | 8% |
| Social Sciences | 38 | 7% |
| Nursing and Health Professions | 26 | 5% |
| Computer Science | 24 | 5% |
| Other | 103 | 20% |
| Unknown | 158 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 57. 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 23 November 2023.
All research outputs
#756,668
of 26,017,215 outputs
Outputs from BMC Medical Informatics and Decision Making
#18
of 2,164 outputs
Outputs of similar age
#7,680
of 327,200 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 43 outputs
Altmetric has tracked 26,017,215 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 2,164 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 327,200 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 43 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 97% of its contemporaries.