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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Toward explainable AI (XAI) for mental health detection based on language behavior
|
|---|---|
| Published in |
Frontiers in Psychiatry, December 2023
|
| DOI | 10.3389/fpsyt.2023.1219479 |
| Pubmed ID | |
| Authors |
Elma Kerz, Sourabh Zanwar, Yu Qiao, Daniel Wiechmann |
X Demographics
The data shown below were collected from the profiles of 10 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 Kingdom | 1 | 10% |
| Switzerland | 1 | 10% |
| Unknown | 8 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 9 | 19% |
| Lecturer | 2 | 4% |
| Student > Doctoral Student | 2 | 4% |
| Student > Master | 2 | 4% |
| Professor > Associate Professor | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 27 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 9 | 19% |
| Computer Science | 6 | 13% |
| Business, Management and Accounting | 1 | 2% |
| Psychology | 1 | 2% |
| Decision Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 29 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 22 March 2024.
All research outputs
#6,753,468
of 26,179,695 outputs
Outputs from Frontiers in Psychiatry
#3,228
of 13,014 outputs
Outputs of similar age
#95,654
of 379,274 outputs
Outputs of similar age from Frontiers in Psychiatry
#70
of 492 outputs
Altmetric has tracked 26,179,695 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 13,014 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done well, scoring higher than 75% 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 379,274 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 492 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.