| Title |
Use of RE-AIM to address health inequities: Application in a low-income community health center-based weight loss and hypertension self-management program
|
|---|---|
| Published in |
Translational Behavioral Medicine, February 2013
|
| DOI | 10.1007/s13142-013-0201-8 |
| Pubmed ID | |
| Authors |
Russell E Glasgow, Sandy Askew, Peyton Purcell, Erica Levine, Erica T Warner, Kurt C Stange, Graham A Colditz, Gary G Bennett |
| Abstract |
While health inequities are well documented, and there are helpful frameworks to understand health disparities, implementation frameworks are also needed to focus the design, evaluation and reporting on interventions targeting populations at increased risk. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Unknown | 170 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 34 | 20% |
| Researcher | 32 | 18% |
| Student > Ph. D. Student | 18 | 10% |
| Student > Doctoral Student | 12 | 7% |
| Other | 10 | 6% |
| Other | 34 | 20% |
| Unknown | 34 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 50 | 29% |
| Social Sciences | 22 | 13% |
| Nursing and Health Professions | 19 | 11% |
| Psychology | 17 | 10% |
| Sports and Recreations | 5 | 3% |
| Other | 15 | 9% |
| Unknown | 46 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 16 March 2013.
All research outputs
#13,030,656
of 22,696,971 outputs
Outputs from Translational Behavioral Medicine
#567
of 988 outputs
Outputs of similar age
#157,059
of 287,582 outputs
Outputs of similar age from Translational Behavioral Medicine
#7
of 13 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 988 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 287,582 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.