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Neural masses and fields: modeling the dynamics of brain activity

Overview of attention for article published in Frontiers in Computational Neuroscience, November 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
169 Mendeley
citeulike
1 CiteULike
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Title
Neural masses and fields: modeling the dynamics of brain activity
Published in
Frontiers in Computational Neuroscience, November 2014
DOI 10.3389/fncom.2014.00149
Pubmed ID
Authors

Dimitris Pinotsis, Peter Robinson, Peter beim Graben, Karl Friston

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.
Mendeley readers

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 %
Germany 2 1%
Portugal 1 <1%
Malaysia 1 <1%
Chile 1 <1%
Australia 1 <1%
Brazil 1 <1%
India 1 <1%
United States 1 <1%
Unknown 160 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 21%
Researcher 35 21%
Student > Master 21 12%
Student > Doctoral Student 11 7%
Professor 9 5%
Other 33 20%
Unknown 25 15%
Readers by discipline Count As %
Neuroscience 41 24%
Engineering 19 11%
Computer Science 16 9%
Physics and Astronomy 15 9%
Agricultural and Biological Sciences 12 7%
Other 28 17%
Unknown 38 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 May 2018.
All research outputs
#7,447,530
of 22,768,097 outputs
Outputs from Frontiers in Computational Neuroscience
#413
of 1,339 outputs
Outputs of similar age
#107,167
of 360,532 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#10
of 30 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,339 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 67% 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 360,532 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 54% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.