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Disrupted properties of functional brain networks in major depressive disorder during emotional face recognition: an EEG study via graph theory analysis

Overview of attention for article published in Frontiers in Human Neuroscience, February 2024
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1 X user

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3 Mendeley
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Title
Disrupted properties of functional brain networks in major depressive disorder during emotional face recognition: an EEG study via graph theory analysis
Published in
Frontiers in Human Neuroscience, February 2024
DOI 10.3389/fnhum.2024.1338765
Pubmed ID
Authors

Chao-Lin Teng, Lin Cong, Wei Wang, Shan Cheng, Min Wu, Wei-Tao Dang, Min Jia, Jin Ma, Jin Xu, Wen-Dong Hu

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Student > Doctoral Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Social Sciences 1 33%
Unknown 1 33%
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 05 March 2024.
All research outputs
#22,796,308
of 25,416,581 outputs
Outputs from Frontiers in Human Neuroscience
#6,949
of 7,695 outputs
Outputs of similar age
#188,798
of 232,392 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#56
of 63 outputs
Altmetric has tracked 25,416,581 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 7,695 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. 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 232,392 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 63 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.