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Discovering the neuronal dynamics in major depressive disorder using Hidden Markov Model

Overview of attention for article published in Frontiers in Human Neuroscience, June 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Readers on

mendeley
9 Mendeley
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Title
Discovering the neuronal dynamics in major depressive disorder using Hidden Markov Model
Published in
Frontiers in Human Neuroscience, June 2023
DOI 10.3389/fnhum.2023.1197613
Pubmed ID
Authors

Wenhao Jiang, Shihang Ding, Cong Xu, Huihuang Ke, Hongjian Bo, Tiejun Zhao, Lin Ma, Haifeng Li

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 33%
Unknown 6 67%
Readers by discipline Count As %
Computer Science 1 11%
Psychology 1 11%
Engineering 1 11%
Unknown 6 67%
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 21 October 2023.
All research outputs
#16,759,555
of 24,652,720 outputs
Outputs from Frontiers in Human Neuroscience
#5,488
of 7,526 outputs
Outputs of similar age
#199,950
of 352,480 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#56
of 96 outputs
Altmetric has tracked 24,652,720 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,526 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 21st percentile – i.e., 21% 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 352,480 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.