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Dynamic Information Flow Based on EEG and Diffusion MRI in Stroke: A Proof-of-Principle Study

Overview of attention for article published in Frontiers in Neural Circuits, October 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

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5 X users

Citations

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16 Dimensions

Readers on

mendeley
74 Mendeley
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Title
Dynamic Information Flow Based on EEG and Diffusion MRI in Stroke: A Proof-of-Principle Study
Published in
Frontiers in Neural Circuits, October 2018
DOI 10.3389/fncir.2018.00079
Pubmed ID
Authors

Olena G. Filatova, Yuan Yang, Julius P. A. Dewald, Runfeng Tian, Pablo Maceira-Elvira, Yusuke Takeda, Gert Kwakkel, Okito Yamashita, Frans C. T. van der Helm

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 15%
Student > Ph. D. Student 11 15%
Student > Bachelor 9 12%
Researcher 9 12%
Student > Postgraduate 6 8%
Other 10 14%
Unknown 18 24%
Readers by discipline Count As %
Neuroscience 15 20%
Nursing and Health Professions 10 14%
Engineering 9 12%
Psychology 6 8%
Medicine and Dentistry 4 5%
Other 9 12%
Unknown 21 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 October 2018.
All research outputs
#7,328,469
of 23,105,443 outputs
Outputs from Frontiers in Neural Circuits
#435
of 1,222 outputs
Outputs of similar age
#130,438
of 343,727 outputs
Outputs of similar age from Frontiers in Neural Circuits
#14
of 34 outputs
Altmetric has tracked 23,105,443 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,222 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 63% of its peers.
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 343,727 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.