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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of a framework and coding system for modifications and adaptations of evidence-based interventions
|
|---|---|
| Published in |
Implementation Science, June 2013
|
| DOI | 10.1186/1748-5908-8-65 |
| Pubmed ID | |
| Authors |
Shannon Wiltsey Stirman, Christopher J Miller, Katherine Toder, Amber Calloway |
X Demographics
The data shown below were collected from the profiles of 24 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 | 10 | 42% |
| Ireland | 2 | 8% |
| Australia | 2 | 8% |
| Germany | 1 | 4% |
| Chile | 1 | 4% |
| United Kingdom | 1 | 4% |
| Canada | 1 | 4% |
| Unknown | 6 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 42% |
| Scientists | 10 | 42% |
| Science communicators (journalists, bloggers, editors) | 3 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 495 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| United Kingdom | 1 | <1% |
| Netherlands | 1 | <1% |
| Argentina | 1 | <1% |
| Unknown | 490 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 86 | 17% |
| Student > Ph. D. Student | 82 | 17% |
| Student > Master | 68 | 14% |
| Student > Doctoral Student | 36 | 7% |
| Professor > Associate Professor | 29 | 6% |
| Other | 93 | 19% |
| Unknown | 101 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 89 | 18% |
| Social Sciences | 80 | 16% |
| Medicine and Dentistry | 78 | 16% |
| Nursing and Health Professions | 44 | 9% |
| Computer Science | 7 | 1% |
| Other | 51 | 10% |
| Unknown | 146 | 29% |
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 10 May 2020.
All research outputs
#2,489,932
of 25,837,817 outputs
Outputs from Implementation Science
#489
of 1,822 outputs
Outputs of similar age
#20,740
of 212,911 outputs
Outputs of similar age from Implementation Science
#5
of 33 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 90th 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 gotten more attention than average, scoring higher than 72% 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 212,911 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 33 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.