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Toward explainable AI (XAI) for mental health detection based on language behavior

Overview of attention for article published in Frontiers in Psychiatry, December 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
10 X users

Readers on

mendeley
51 Mendeley
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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

Timeline

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X Demographics

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 6%
Lecturer 3 6%
Student > Doctoral Student 2 4%
Unspecified 2 4%
Student > Bachelor 2 4%
Other 7 14%
Unknown 32 63%
Readers by discipline Count As %
Computer Science 7 14%
Unspecified 3 6%
Business, Management and Accounting 1 2%
Agricultural and Biological Sciences 1 2%
Arts and Humanities 1 2%
Other 4 8%
Unknown 34 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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
#6,985,901
of 26,228,764 outputs
Outputs from Frontiers in Psychiatry
#3,445
of 13,264 outputs
Outputs of similar age
#106,707
of 397,032 outputs
Outputs of similar age from Frontiers in Psychiatry
#77
of 493 outputs
Altmetric has tracked 26,228,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 13,264 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has gotten more attention than average, scoring higher than 73% 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 397,032 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 72% of its contemporaries.
We're also able to compare this research output to 493 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.