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Ensemble graph neural network model for classification of major depressive disorder using whole-brain functional connectivity

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

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2 X users

Citations

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11 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Ensemble graph neural network model for classification of major depressive disorder using whole-brain functional connectivity
Published in
Frontiers in Psychiatry, March 2023
DOI 10.3389/fpsyt.2023.1125339
Pubmed ID
Authors

Sujitha Venkatapathy, Mikhail Votinov, Lisa Wagels, Sangyun Kim, Munseob Lee, Ute Habel, In-Ho Ra, Han-Gue Jo

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 15%
Student > Bachelor 3 15%
Lecturer 2 10%
Unspecified 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 9 45%
Readers by discipline Count As %
Computer Science 5 25%
Psychology 3 15%
Unspecified 1 5%
Unknown 11 55%
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 14 March 2024.
All research outputs
#20,937,042
of 26,603,725 outputs
Outputs from Frontiers in Psychiatry
#8,028
of 13,251 outputs
Outputs of similar age
#308,498
of 432,023 outputs
Outputs of similar age from Frontiers in Psychiatry
#336
of 651 outputs
Altmetric has tracked 26,603,725 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,251 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one is in the 32nd percentile – i.e., 32% 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 432,023 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 651 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.