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Contextual MEG and EEG Source Estimates Using Spatiotemporal LSTM Networks

Overview of attention for article published in Frontiers in Neuroscience, March 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Contextual MEG and EEG Source Estimates Using Spatiotemporal LSTM Networks
Published in
Frontiers in Neuroscience, March 2021
DOI 10.3389/fnins.2021.552666
Pubmed ID
Authors

Christoph Dinh, John G. Samuelsson, Alexander Hunold, Matti S. Hämäläinen, Sheraz Khan

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 20%
Unspecified 1 7%
Lecturer > Senior Lecturer 1 7%
Student > Doctoral Student 1 7%
Student > Bachelor 1 7%
Other 4 27%
Unknown 4 27%
Readers by discipline Count As %
Engineering 4 27%
Mathematics 2 13%
Neuroscience 2 13%
Unspecified 1 7%
Psychology 1 7%
Other 0 0%
Unknown 5 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 28 March 2021.
All research outputs
#7,124,859
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#4,617
of 11,543 outputs
Outputs of similar age
#153,365
of 452,123 outputs
Outputs of similar age from Frontiers in Neuroscience
#256
of 401 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 59% 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 452,123 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 65% of its contemporaries.
We're also able to compare this research output to 401 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.