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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, November 2014
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
169 Mendeley
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Title
Fusing concurrent EEG–fMRI with dynamic causal modeling: Application to effective connectivity during face perception
Published in
NeuroImage, November 2014
DOI 10.1016/j.neuroimage.2013.06.083
Pubmed ID
Authors

Vinh T. Nguyen, Michael Breakspear, Ross Cunnington

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
United States 4 2%
Germany 3 2%
Australia 2 1%
Portugal 2 1%
China 2 1%
France 1 <1%
Norway 1 <1%
Italy 1 <1%
Other 2 1%
Unknown 147 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 27%
Student > Ph. D. Student 44 26%
Student > Master 23 14%
Professor > Associate Professor 11 7%
Student > Doctoral Student 10 6%
Other 35 21%
Readers by discipline Count As %
Psychology 47 28%
Neuroscience 27 16%
Engineering 23 14%
Medicine and Dentistry 19 11%
Unspecified 17 10%
Other 36 21%

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
#7,545,348
of 12,074,466 outputs
Outputs from NeuroImage
#5,623
of 7,397 outputs
Outputs of similar age
#118,298
of 217,503 outputs
Outputs of similar age from NeuroImage
#143
of 190 outputs
Altmetric has tracked 12,074,466 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,397 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one is in the 16th percentile – i.e., 16% 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 217,503 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 190 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.