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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Building theories of knowledge translation interventions: Use the entire menu of constructs
|
|---|---|
| Published in |
Implementation Science, November 2012
|
| DOI | 10.1186/1748-5908-7-114 |
| Pubmed ID | |
| Authors |
Jamie C. Brehaut, Kevin W. Eva |
| Abstract |
In the ongoing effort to develop and advance the science of knowledge translation (KT), an important question has emerged around how theory should inform the development of KT interventions. |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 5 | 33% |
| United Kingdom | 2 | 13% |
| United States | 2 | 13% |
| Bahrain | 1 | 7% |
| Australia | 1 | 7% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 80% |
| Scientists | 2 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 6 | 3% |
| United Kingdom | 4 | 2% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Sierra Leone | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 218 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 42 | 18% |
| Student > Ph. D. Student | 41 | 18% |
| Student > Master | 34 | 15% |
| Other | 18 | 8% |
| Student > Doctoral Student | 14 | 6% |
| Other | 56 | 24% |
| Unknown | 27 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 52 | 22% |
| Social Sciences | 40 | 17% |
| Psychology | 38 | 16% |
| Nursing and Health Professions | 25 | 11% |
| Decision Sciences | 6 | 3% |
| Other | 37 | 16% |
| Unknown | 34 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 09 April 2015.
All research outputs
#3,096,462
of 24,144,324 outputs
Outputs from Implementation Science
#656
of 1,754 outputs
Outputs of similar age
#30,041
of 283,755 outputs
Outputs of similar age from Implementation Science
#7
of 34 outputs
Altmetric has tracked 24,144,324 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,754 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has gotten more attention than average, scoring higher than 62% 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 283,755 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 89% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.