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MEG and EEG data analysis with MNE-Python

Overview of attention for article published in Frontiers in Neuroscience, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
12 X users
patent
1 patent
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Readers on

mendeley
1408 Mendeley
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Title
MEG and EEG data analysis with MNE-Python
Published in
Frontiers in Neuroscience, January 2013
DOI 10.3389/fnins.2013.00267
Pubmed ID
Authors

Alexandre Gramfort, Martin Luessi, Eric Larson, Denis A. Engemann, Daniel Strohmeier, Christian Brodbeck, Roman Goj, Mainak Jas, Teon Brooks, Lauri Parkkonen, Matti Hämäläinen

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 1,408 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 <1%
Germany 5 <1%
France 3 <1%
Brazil 3 <1%
Chile 1 <1%
Italy 1 <1%
Netherlands 1 <1%
Colombia 1 <1%
United Kingdom 1 <1%
Other 7 <1%
Unknown 1379 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 263 19%
Student > Master 225 16%
Researcher 206 15%
Student > Bachelor 150 11%
Student > Doctoral Student 69 5%
Other 163 12%
Unknown 332 24%
Readers by discipline Count As %
Neuroscience 290 21%
Engineering 175 12%
Psychology 160 11%
Computer Science 120 9%
Agricultural and Biological Sciences 61 4%
Other 199 14%
Unknown 403 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 02 October 2022.
All research outputs
#2,499,426
of 26,017,215 outputs
Outputs from Frontiers in Neuroscience
#1,494
of 11,682 outputs
Outputs of similar age
#23,616
of 295,070 outputs
Outputs of similar age from Frontiers in Neuroscience
#43
of 247 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,682 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 87% 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 295,070 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.