The data shown below were collected from the profiles of 2 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 |
Detection of Depression and Suicide Risk Based on Text From Clinical Interviews Using Machine Learning: Possibility of a New Objective Diagnostic Marker
|
|---|---|
| Published in |
Frontiers in Psychiatry, May 2022
|
| DOI | 10.3389/fpsyt.2022.801301 |
| Pubmed ID | |
| Authors |
Daun Shin, Kyungdo Kim, Seung-Bo Lee, Changwoo Lee, Ye Seul Bae, Won Ik Cho, Min Ji Kim, C. Hyung Keun Park, Eui Kyu Chie, Nam Soo Kim, Yong Min Ahn |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 10% |
| Student > Doctoral Student | 2 | 5% |
| Student > Ph. D. Student | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Student > Postgraduate | 2 | 5% |
| Other | 1 | 3% |
| Unknown | 27 | 68% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 4 | 10% |
| Computer Science | 2 | 5% |
| Engineering | 2 | 5% |
| Nursing and Health Professions | 1 | 3% |
| Linguistics | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 26 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 June 2022.
All research outputs
#19,376,690
of 23,848,132 outputs
Outputs from Frontiers in Psychiatry
#7,489
of 11,080 outputs
Outputs of similar age
#317,372
of 429,179 outputs
Outputs of similar age from Frontiers in Psychiatry
#472
of 838 outputs
Altmetric has tracked 23,848,132 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,080 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 429,179 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 838 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.