| Title |
Applying and advancing behavior change theories and techniques in the context of a digital health revolution: proposals for more effectively realizing untapped potential
|
|---|---|
| Published in |
Journal of Behavioral Medicine, January 2017
|
| DOI | 10.1007/s10865-016-9818-7 |
| Pubmed ID | |
| Authors |
Arlen C. Moller, Gina Merchant, David E. Conroy, Robert West, Eric Hekler, Kari C. Kugler, Susan Michie |
X Demographics
The data shown below were collected from the profiles of 74 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 | 16 | 22% |
| United States | 13 | 18% |
| Australia | 7 | 9% |
| Canada | 3 | 4% |
| Netherlands | 3 | 4% |
| Ireland | 2 | 3% |
| Guyana | 1 | 1% |
| Portugal | 1 | 1% |
| India | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 26 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 35 | 47% |
| Scientists | 26 | 35% |
| Practitioners (doctors, other healthcare professionals) | 10 | 14% |
| Science communicators (journalists, bloggers, editors) | 3 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 463 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Czechia | 1 | <1% |
| Unknown | 461 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 70 | 15% |
| Student > Master | 66 | 14% |
| Researcher | 54 | 12% |
| Student > Bachelor | 39 | 8% |
| Student > Doctoral Student | 31 | 7% |
| Other | 84 | 18% |
| Unknown | 119 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 87 | 19% |
| Medicine and Dentistry | 44 | 10% |
| Computer Science | 41 | 9% |
| Social Sciences | 41 | 9% |
| Nursing and Health Professions | 38 | 8% |
| Other | 68 | 15% |
| Unknown | 144 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 31 January 2021.
All research outputs
#846,515
of 26,017,215 outputs
Outputs from Journal of Behavioral Medicine
#78
of 1,177 outputs
Outputs of similar age
#17,638
of 428,600 outputs
Outputs of similar age from Journal of Behavioral Medicine
#4
of 18 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,177 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.6. This one has done particularly well, scoring higher than 93% 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 428,600 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 95% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.