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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using a behaviour change techniques taxonomy to identify active ingredients within trials of implementation interventions for diabetes care
|
|---|---|
| Published in |
Implementation Science, April 2015
|
| DOI | 10.1186/s13012-015-0248-7 |
| Pubmed ID | |
| Authors |
Justin Presseau, Noah M Ivers, James J Newham, Keegan Knittle, Kristin J Danko, Jeremy M Grimshaw |
X Demographics
The data shown below were collected from the profiles of 47 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 Kingdom | 18 | 38% |
| Canada | 5 | 11% |
| Ireland | 3 | 6% |
| Finland | 2 | 4% |
| Australia | 2 | 4% |
| United States | 2 | 4% |
| Chile | 1 | 2% |
| Austria | 1 | 2% |
| Unknown | 13 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 19 | 40% |
| Members of the public | 14 | 30% |
| Practitioners (doctors, other healthcare professionals) | 12 | 26% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 266 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 2% |
| Canada | 2 | <1% |
| Unknown | 260 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 43 | 16% |
| Student > Master | 40 | 15% |
| Student > Ph. D. Student | 33 | 12% |
| Student > Bachelor | 17 | 6% |
| Other | 15 | 6% |
| Other | 47 | 18% |
| Unknown | 71 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 49 | 18% |
| Medicine and Dentistry | 42 | 16% |
| Nursing and Health Professions | 33 | 12% |
| Social Sciences | 20 | 8% |
| Computer Science | 7 | 3% |
| Other | 32 | 12% |
| Unknown | 83 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 20 September 2016.
All research outputs
#1,415,440
of 25,837,817 outputs
Outputs from Implementation Science
#239
of 1,822 outputs
Outputs of similar age
#17,331
of 281,856 outputs
Outputs of similar age from Implementation Science
#8
of 53 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,822 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 86% 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 281,856 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 93% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.