| Title |
Artificial Intelligence for Mental Health and Mental Illnesses: an Overview
|
|---|---|
| Published in |
Current Psychiatry Reports, November 2019
|
| DOI | 10.1007/s11920-019-1094-0 |
| Pubmed ID | |
| Authors |
Sarah Graham, Colin Depp, Ellen E. Lee, Camille Nebeker, Xin Tu, Ho-Cheol Kim, Dilip V. Jeste |
X Demographics
The data shown below were collected from the profiles of 20 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 | 3 | 15% |
| Saudi Arabia | 1 | 5% |
| Indonesia | 1 | 5% |
| India | 1 | 5% |
| France | 1 | 5% |
| Unknown | 13 | 65% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 75% |
| Practitioners (doctors, other healthcare professionals) | 3 | 15% |
| Scientists | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,000 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1000 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 96 | 10% |
| Student > Bachelor | 89 | 9% |
| Student > Ph. D. Student | 88 | 9% |
| Researcher | 67 | 7% |
| Student > Doctoral Student | 36 | 4% |
| Other | 158 | 16% |
| Unknown | 466 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 111 | 11% |
| Psychology | 79 | 8% |
| Medicine and Dentistry | 69 | 7% |
| Engineering | 38 | 4% |
| Neuroscience | 32 | 3% |
| Other | 168 | 17% |
| Unknown | 503 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 65. 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 09 January 2024.
All research outputs
#670,600
of 26,017,215 outputs
Outputs from Current Psychiatry Reports
#83
of 1,305 outputs
Outputs of similar age
#15,062
of 385,273 outputs
Outputs of similar age from Current Psychiatry Reports
#4
of 23 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,305 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.4. This one has done particularly well, scoring higher than 92% 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 385,273 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 95% of its contemporaries.
We're also able to compare this research output to 23 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.