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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated stress detection using mobile application and wearable sensors improves symptoms of mental health disorders in military personnel
|
|---|---|
| Published in |
Frontiers in Digital Health, August 2022
|
| DOI | 10.3389/fdgth.2022.919626 |
| Pubmed ID | |
| Authors |
Brent D. Winslow, Rebecca Kwasinski, Jeffrey Hullfish, Mitchell Ruble, Adam Lynch, Timothy Rogers, Debra Nofziger, William Brim, Craig Woodworth |
X Demographics
The data shown below were collected from the profiles of 7 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 | 4 | 57% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 10% |
| Student > Bachelor | 3 | 7% |
| Other | 2 | 5% |
| Librarian | 2 | 5% |
| Student > Master | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 24 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 4 | 10% |
| Medicine and Dentistry | 4 | 10% |
| Engineering | 3 | 7% |
| Nursing and Health Professions | 2 | 5% |
| Social Sciences | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 23 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 06 September 2022.
All research outputs
#7,326,267
of 23,275,636 outputs
Outputs from Frontiers in Digital Health
#259
of 575 outputs
Outputs of similar age
#135,933
of 432,695 outputs
Outputs of similar age from Frontiers in Digital Health
#40
of 84 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 575 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 53% 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 432,695 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 68% of its contemporaries.
We're also able to compare this research output to 84 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 50% of its contemporaries.