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Fusing concurrent EEG–fMRI with dynamic causal modeling: Application to effective connectivity during face perception

Overview of attention for article published in NeuroImage, July 2013
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2 X users

Citations

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51 Dimensions

Readers on

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221 Mendeley
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Title
Fusing concurrent EEG–fMRI with dynamic causal modeling: Application to effective connectivity during face perception
Published in
NeuroImage, July 2013
DOI 10.1016/j.neuroimage.2013.06.083
Pubmed ID
Authors

Vinh T. Nguyen, Michael Breakspear, Ross Cunnington

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
United Kingdom 3 1%
Germany 2 <1%
Australia 2 <1%
China 2 <1%
France 1 <1%
Portugal 1 <1%
Norway 1 <1%
Korea, Republic of 1 <1%
Other 1 <1%
Unknown 203 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 26%
Researcher 49 22%
Student > Master 32 14%
Student > Doctoral Student 11 5%
Professor > Associate Professor 11 5%
Other 34 15%
Unknown 27 12%
Readers by discipline Count As %
Psychology 58 26%
Neuroscience 39 18%
Engineering 25 11%
Medicine and Dentistry 18 8%
Agricultural and Biological Sciences 17 8%
Other 23 10%
Unknown 41 19%
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 17 July 2015.
All research outputs
#17,700,438
of 25,837,817 outputs
Outputs from NeuroImage
#9,984
of 12,415 outputs
Outputs of similar age
#131,958
of 208,793 outputs
Outputs of similar age from NeuroImage
#114
of 159 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,415 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 12th percentile – i.e., 12% 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 208,793 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.