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Decoding Semi-Constrained Brain Activity from fMRI Using Support Vector Machines and Gaussian Processes

Overview of attention for article published in PLOS ONE, April 2012
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Title
Decoding Semi-Constrained Brain Activity from fMRI Using Support Vector Machines and Gaussian Processes
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0035860
Pubmed ID
Authors

Jessica Schrouff, Caroline Kussé, Louis Wehenkel, Pierre Maquet, Christophe Phillips

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X Demographics

The data shown below were collected from the profile of 1 X user 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Italy 1 1%
Unknown 77 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Researcher 12 15%
Professor 8 10%
Student > Postgraduate 6 8%
Student > Master 6 8%
Other 18 23%
Unknown 16 20%
Readers by discipline Count As %
Psychology 17 21%
Neuroscience 15 19%
Medicine and Dentistry 9 11%
Agricultural and Biological Sciences 8 10%
Computer Science 7 9%
Other 8 10%
Unknown 16 20%