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Application of graph frequency attention convolutional neural networks in depression treatment response

Overview of attention for article published in Frontiers in Psychiatry, November 2023
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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5 Mendeley
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Title
Application of graph frequency attention convolutional neural networks in depression treatment response
Published in
Frontiers in Psychiatry, November 2023
DOI 10.3389/fpsyt.2023.1244208
Pubmed ID
Authors

Zihe Lu, Jialin Wang, Fengqin Wang, Zhoumin Wu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Professor > Associate Professor 1 20%
Lecturer 1 20%
Unknown 2 40%
Readers by discipline Count As %
Unspecified 1 20%
Environmental Science 1 20%
Unknown 3 60%
Attention Score in Context

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 17 November 2023.
All research outputs
#22,247,564
of 24,827,122 outputs
Outputs from Frontiers in Psychiatry
#9,112
of 12,048 outputs
Outputs of similar age
#124,177
of 157,941 outputs
Outputs of similar age from Frontiers in Psychiatry
#121
of 253 outputs
Altmetric has tracked 24,827,122 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,048 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 1st percentile – i.e., 1% 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 157,941 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 253 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.