Title |
Using a RE-AIM framework to identify promising practices in National Diabetes Prevention Program implementation
|
---|---|
Published in |
Implementation Science, August 2019
|
DOI | 10.1186/s13012-019-0928-9 |
Pubmed ID | |
Authors |
Kunthea Nhim, Stephanie M. Gruss, Deborah S. Porterfield, Sara Jacobs, Wendi Elkins, Elizabeth T. Luman, Susan Van Aacken, Patricia Schumacher, Ann Albright |
X Demographics
The data shown below were collected from the profiles of 26 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 | 19% |
Canada | 3 | 12% |
Australia | 2 | 8% |
Switzerland | 1 | 4% |
Philippines | 1 | 4% |
Colombia | 1 | 4% |
Ireland | 1 | 4% |
Unknown | 12 | 46% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 50% |
Scientists | 9 | 35% |
Practitioners (doctors, other healthcare professionals) | 3 | 12% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 115 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 18 | 16% |
Researcher | 15 | 13% |
Student > Ph. D. Student | 14 | 12% |
Student > Bachelor | 12 | 10% |
Other | 5 | 4% |
Other | 10 | 9% |
Unknown | 41 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 17 | 15% |
Nursing and Health Professions | 16 | 14% |
Social Sciences | 15 | 13% |
Psychology | 6 | 5% |
Engineering | 3 | 3% |
Other | 14 | 12% |
Unknown | 44 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 24 September 2019.
All research outputs
#1,901,019
of 23,577,761 outputs
Outputs from Implementation Science
#396
of 1,728 outputs
Outputs of similar age
#40,954
of 343,939 outputs
Outputs of similar age from Implementation Science
#7
of 23 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,728 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 done well, scoring higher than 76% 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 343,939 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 88% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.