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Feasibility of a Machine Learning-Based Smartphone Application in Detecting Depression and Anxiety in a Generally Senior Population

Overview of attention for article published in Frontiers in Psychology, April 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
35 Mendeley
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Title
Feasibility of a Machine Learning-Based Smartphone Application in Detecting Depression and Anxiety in a Generally Senior Population
Published in
Frontiers in Psychology, April 2022
DOI 10.3389/fpsyg.2022.811517
Pubmed ID
Authors

David Lin, Tahmida Nazreen, Tomasz Rutowski, Yang Lu, Amir Harati, Elizabeth Shriberg, Piotr Chlebek, Michael Aratow

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 14%
Researcher 3 9%
Student > Bachelor 3 9%
Librarian 1 3%
Lecturer 1 3%
Other 2 6%
Unknown 20 57%
Readers by discipline Count As %
Psychology 4 11%
Computer Science 4 11%
Medicine and Dentistry 3 9%
Mathematics 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 6%
Unknown 20 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 June 2022.
All research outputs
#7,315,791
of 23,310,485 outputs
Outputs from Frontiers in Psychology
#10,493
of 30,992 outputs
Outputs of similar age
#146,948
of 443,054 outputs
Outputs of similar age from Frontiers in Psychology
#268
of 1,762 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 30,992 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 65% 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 443,054 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 66% of its contemporaries.
We're also able to compare this research output to 1,762 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.