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MUC (Memory, Unification, Control) and beyond

Overview of attention for article published in Frontiers in Psychology, 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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

blogs
2 blogs
twitter
3 X users
wikipedia
1 Wikipedia page

Readers on

mendeley
414 Mendeley
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Title
MUC (Memory, Unification, Control) and beyond
Published in
Frontiers in Psychology, January 2013
DOI 10.3389/fpsyg.2013.00416
Pubmed ID
Authors

Peter Hagoort

Abstract

A neurobiological model of language is discussed that overcomes the shortcomings of the classical Wernicke-Lichtheim-Geschwind model. It is based on a subdivision of language processing into three components: Memory, Unification, and Control. The functional components as well as the neurobiological underpinnings of the model are discussed. In addition, the need for extension of the model beyond the classical core regions for language is shown. The attention network and the network for inferential processing are crucial to realize language comprehension beyond single word processing and beyond decoding propositional content. It is shown that this requires the dynamic interaction between multiple brain regions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 414 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
Spain 3 <1%
Germany 2 <1%
Netherlands 2 <1%
Italy 1 <1%
Austria 1 <1%
Sweden 1 <1%
France 1 <1%
Brazil 1 <1%
Other 1 <1%
Unknown 396 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 105 25%
Student > Master 60 14%
Researcher 55 13%
Student > Bachelor 39 9%
Student > Doctoral Student 22 5%
Other 66 16%
Unknown 67 16%
Readers by discipline Count As %
Psychology 115 28%
Linguistics 71 17%
Neuroscience 66 16%
Medicine and Dentistry 18 4%
Agricultural and Biological Sciences 13 3%
Other 41 10%
Unknown 90 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 26 February 2018.
All research outputs
#2,105,445
of 24,943,708 outputs
Outputs from Frontiers in Psychology
#4,223
of 33,669 outputs
Outputs of similar age
#20,131
of 292,957 outputs
Outputs of similar age from Frontiers in Psychology
#198
of 969 outputs
Altmetric has tracked 24,943,708 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,669 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. 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 292,957 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 93% of its contemporaries.
We're also able to compare this research output to 969 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.