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Vocal Acoustic Features as Potential Biomarkers for Identifying/Diagnosing Depression: A Cross-Sectional Study

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

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
5 X users

Citations

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8 Dimensions

Readers on

mendeley
24 Mendeley
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Title
Vocal Acoustic Features as Potential Biomarkers for Identifying/Diagnosing Depression: A Cross-Sectional Study
Published in
Frontiers in Psychiatry, April 2022
DOI 10.3389/fpsyt.2022.815678
Pubmed ID
Authors

Qing Zhao, Hong-Zhen Fan, Yan-Li Li, Lei Liu, Ya-Xue Wu, Yan-Li Zhao, Zhan-Xiao Tian, Zhi-Ren Wang, Yun-Long Tan, Shu-Ping Tan

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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 13%
Unspecified 1 4%
Lecturer > Senior Lecturer 1 4%
Student > Doctoral Student 1 4%
Lecturer 1 4%
Other 2 8%
Unknown 15 63%
Readers by discipline Count As %
Psychology 3 13%
Neuroscience 2 8%
Agricultural and Biological Sciences 2 8%
Unspecified 1 4%
Medicine and Dentistry 1 4%
Other 1 4%
Unknown 14 58%
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 30 July 2022.
All research outputs
#8,039,540
of 24,862,067 outputs
Outputs from Frontiers in Psychiatry
#3,772
of 12,083 outputs
Outputs of similar age
#153,608
of 435,527 outputs
Outputs of similar age from Frontiers in Psychiatry
#207
of 852 outputs
Altmetric has tracked 24,862,067 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 12,083 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 68% 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 435,527 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 64% of its contemporaries.
We're also able to compare this research output to 852 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.