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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Publication trends of shared decision making in 15 high impact medical journals: a full-text review with bibliometric analysis
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, August 2014
|
| DOI | 10.1186/1472-6947-14-71 |
| Pubmed ID | |
| Authors |
Xavier Blanc, Tinh-Hai Collet, Reto Auer, Roland Fischer, Isabella Locatelli, Pablo Iriarte, Jan Krause, France Légaré, Jacques Cornuz |
| Abstract |
Shared Decision Making (SDM) is increasingly advocated as a model for medical decision making. However, there is still low use of SDM in clinical practice. High impact factor journals might represent an efficient way for its dissemination. We aimed to identify and characterize publication trends of SDM in 15 high impact medical journals. |
X Demographics
The data shown below were collected from the profiles of 22 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 | 5 | 23% |
| United Kingdom | 5 | 23% |
| Canada | 2 | 9% |
| France | 2 | 9% |
| India | 1 | 5% |
| Unknown | 7 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 41% |
| Practitioners (doctors, other healthcare professionals) | 8 | 36% |
| Scientists | 5 | 23% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| South Africa | 1 | 1% |
| Unknown | 79 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 19% |
| Student > Ph. D. Student | 10 | 12% |
| Student > Master | 8 | 10% |
| Student > Doctoral Student | 5 | 6% |
| Student > Bachelor | 4 | 5% |
| Other | 20 | 25% |
| Unknown | 19 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 30% |
| Social Sciences | 8 | 10% |
| Nursing and Health Professions | 4 | 5% |
| Computer Science | 3 | 4% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 12 | 15% |
| Unknown | 27 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 13 September 2014.
All research outputs
#2,367,221
of 25,295,968 outputs
Outputs from BMC Medical Informatics and Decision Making
#137
of 2,138 outputs
Outputs of similar age
#23,074
of 237,531 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#4
of 30 outputs
Altmetric has tracked 25,295,968 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,138 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 93% 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 237,531 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 90% of its contemporaries.
We're also able to compare this research output to 30 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 90% of its contemporaries.