The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Personalised depression forecasting using mobile sensor data and ecological momentary assessment
|
|---|---|
| Published in |
Frontiers in Digital Health, November 2022
|
| DOI | 10.3389/fdgth.2022.964582 |
| Pubmed ID | |
| Authors |
Alexander Kathan, Mathias Harrer, Ludwig Küster, Andreas Triantafyllopoulos, Xiangheng He, Manuel Milling, Maurice Gerczuk, Tianhao Yan, Srividya Tirunellai Rajamani, Elena Heber, Inga Grossmann, David D. Ebert, Björn W. Schuller |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 17% |
| United States | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
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 % |
|---|---|---|
| Student > Bachelor | 2 | 6% |
| Researcher | 2 | 6% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Student > Ph. D. Student | 1 | 3% |
| Lecturer | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 23 | 72% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Computer Science | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 23 | 72% |
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 03 June 2023.
All research outputs
#8,418,066
of 25,145,981 outputs
Outputs from Frontiers in Digital Health
#332
of 783 outputs
Outputs of similar age
#163,127
of 487,654 outputs
Outputs of similar age from Frontiers in Digital Health
#36
of 60 outputs
Altmetric has tracked 25,145,981 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 783 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 56% 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 487,654 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 63% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.