You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
The role of self-efficacy and information processing in weight loss during an mHealth behavioral intervention
|
|---|---|
| Published in |
DIGITAL HEALTH, November 2020
|
| DOI | 10.1177/2055207620976755 |
| Pubmed ID | |
| Authors |
Gabrielle M Turner-McGrievy, Anthony Crimarco, Sara Wilcox, Alycia K Boutté, Brent E Hutto, Eric R Muth, Adam Hoover |
X Demographics
The data shown below were collected from the profiles of 5 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 | 40% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 3 | 60% |
| Members of the public | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 13% |
| Student > Bachelor | 4 | 13% |
| Student > Ph. D. Student | 4 | 13% |
| Other | 2 | 7% |
| Researcher | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 10 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 4 | 13% |
| Psychology | 3 | 10% |
| Computer Science | 3 | 10% |
| Sports and Recreations | 3 | 10% |
| Medicine and Dentistry | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 10 | 33% |
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 30 December 2020.
All research outputs
#14,595,994
of 25,462,162 outputs
Outputs from DIGITAL HEALTH
#464
of 858 outputs
Outputs of similar age
#244,895
of 519,146 outputs
Outputs of similar age from DIGITAL HEALTH
#8
of 17 outputs
Altmetric has tracked 25,462,162 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 858 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 45th percentile – i.e., 45% 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 519,146 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 17 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 52% of its contemporaries.