| Title |
Creating a Digital Health Smartphone App and Digital Phenotyping Platform for Mental Health and Diverse Healthcare Needs: an Interdisciplinary and Collaborative Approach
|
|---|---|
| Published in |
Journal of Technology in Behavioral Science, April 2019
|
| DOI | 10.1007/s41347-019-00095-w |
| Authors |
John Torous, Hannah Wisniewski, Bruce Bird, Elizabeth Carpenter, Gary David, Eduardo Elejalde, Dan Fulford, Synthia Guimond, Ryan Hays, Philip Henson, Liza Hoffman, Chun Lim, Michael Menon, Valerie Noel, John Pearson, Randy Peterson, Ammu Susheela, Haley Troy, Aditya Vaidyam, Emma Weizenbaum, John A. Naslund, Matcheri Keshavan |
X Demographics
The data shown below were collected from the profiles of 18 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 | 14 | 78% |
| Netherlands | 1 | 6% |
| Unknown | 3 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 44% |
| Scientists | 5 | 28% |
| Practitioners (doctors, other healthcare professionals) | 3 | 17% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 189 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 14% |
| Student > Ph. D. Student | 24 | 13% |
| Student > Bachelor | 19 | 10% |
| Student > Master | 16 | 8% |
| Student > Doctoral Student | 12 | 6% |
| Other | 30 | 16% |
| Unknown | 62 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 27 | 14% |
| Medicine and Dentistry | 21 | 11% |
| Computer Science | 14 | 7% |
| Social Sciences | 11 | 6% |
| Engineering | 10 | 5% |
| Other | 33 | 17% |
| Unknown | 73 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 04 November 2021.
All research outputs
#1,221,680
of 23,630,563 outputs
Outputs from Journal of Technology in Behavioral Science
#1
of 1 outputs
Outputs of similar age
#29,084
of 350,988 outputs
Outputs of similar age from Journal of Technology in Behavioral Science
#1
of 1 outputs
Altmetric has tracked 23,630,563 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 of them.
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 350,988 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 91% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them