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X Demographics
Mendeley readers
Attention Score in Context
Title |
A deep learning-based model for detecting depression in senior population
|
---|---|
Published in |
Frontiers in Psychiatry, November 2022
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DOI | 10.3389/fpsyt.2022.1016676 |
Pubmed ID | |
Authors |
Yunhan Lin, Biman Najika Liyanage, Yutao Sun, Tianlan Lu, Zhengwen Zhu, Yundan Liao, Qiushi Wang, Chuan Shi, Weihua Yue |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 3 | 25% |
Switzerland | 1 | 8% |
Unknown | 8 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 92% |
Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 3 | 12% |
Student > Ph. D. Student | 3 | 12% |
Unspecified | 2 | 8% |
Researcher | 2 | 8% |
Student > Doctoral Student | 1 | 4% |
Other | 0 | 0% |
Unknown | 15 | 58% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 5 | 19% |
Computer Science | 2 | 8% |
Unspecified | 2 | 8% |
Engineering | 2 | 8% |
Medicine and Dentistry | 1 | 4% |
Other | 0 | 0% |
Unknown | 14 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 07 October 2023.
All research outputs
#4,869,442
of 26,208,484 outputs
Outputs from Frontiers in Psychiatry
#2,747
of 13,033 outputs
Outputs of similar age
#95,096
of 446,516 outputs
Outputs of similar age from Frontiers in Psychiatry
#117
of 738 outputs
Altmetric has tracked 26,208,484 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,033 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 78% 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 446,516 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 738 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.