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| Title |
How Notifications Affect Engagement With a Behavior Change App: Results From a Micro-Randomized Trial
|
|---|---|
| Published in |
JMIR mHealth and uHealth, June 2023
|
| DOI | 10.2196/38342 |
| Pubmed ID | |
| Authors |
Lauren Bell, Claire Garnett, Yihan Bao, Zhaoxi Cheng, Tianchen Qian, Olga Perski, Henry W W Potts, Elizabeth Williamson |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 9% |
| United States | 1 | 9% |
| Unknown | 9 | 82% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Science communicators (journalists, bloggers, editors) | 3 | 27% |
| Scientists | 2 | 18% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 13% |
| Student > Bachelor | 3 | 9% |
| Unspecified | 2 | 6% |
| Researcher | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 18 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 3 | 9% |
| Medicine and Dentistry | 3 | 9% |
| Unspecified | 2 | 6% |
| Social Sciences | 2 | 6% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 19 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 19 June 2023.
All research outputs
#5,510,449
of 26,168,182 outputs
Outputs from JMIR mHealth and uHealth
#982
of 2,618 outputs
Outputs of similar age
#98,439
of 392,998 outputs
Outputs of similar age from JMIR mHealth and uHealth
#7
of 40 outputs
Altmetric has tracked 26,168,182 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,618 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has gotten more attention than average, scoring higher than 62% 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 392,998 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 74% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.