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Statistical Analysis of Graph-Theoretic Indices to Study EEG-TMS Connectivity in Patients With Depression

Overview of attention for article published in Frontiers in Neuroinformatics, April 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

Readers on

mendeley
26 Mendeley
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Title
Statistical Analysis of Graph-Theoretic Indices to Study EEG-TMS Connectivity in Patients With Depression
Published in
Frontiers in Neuroinformatics, April 2021
DOI 10.3389/fninf.2021.651082
Pubmed ID
Authors

Elzbieta Olejarczyk, Adam Jozwik, Vladas Valiulis, Kastytis Dapsys, Giedrius Gerulskis, Arunas Germanavicius

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Researcher 4 15%
Student > Ph. D. Student 3 12%
Student > Bachelor 2 8%
Other 1 4%
Other 3 12%
Unknown 8 31%
Readers by discipline Count As %
Neuroscience 6 23%
Psychology 3 12%
Medicine and Dentistry 3 12%
Computer Science 1 4%
Unspecified 1 4%
Other 2 8%
Unknown 10 38%
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 April 2021.
All research outputs
#15,867,545
of 23,577,654 outputs
Outputs from Frontiers in Neuroinformatics
#567
of 774 outputs
Outputs of similar age
#263,313
of 434,904 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#6
of 11 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 774 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. 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 434,904 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.