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Neural Components of Reading Revealed by Distributed and Symbolic Computational Models

Overview of attention for article published in Neurobiology of Language, October 2020
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users

Readers on

mendeley
23 Mendeley
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Article details
Title
Neural Components of Reading Revealed by Distributed and Symbolic Computational Models
Published in
Neurobiology of Language, October 2020
DOI 10.1162/nol_a_00018
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 4 17%
Professor 3 13%
Student > Doctoral Student 2 9%
Student > Ph. D. Student 2 9%
Professor > Associate Professor 1 4%
Other 0 0%
Unknown 11 48%
Readers by discipline
Readers by discipline Count As %
Psychology 5 22%
Linguistics 2 9%
Nursing and Health Professions 1 4%
Medicine and Dentistry 1 4%
Neuroscience 1 4%
Other 0 0%
Unknown 13 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 July 2021.
All research outputs
#18,403,609
of 27,742,449 outputs
Outputs from Neurobiology of Language
#116
of 141 outputs
Outputs of similar age
#266,140
of 439,015 outputs
Outputs of similar age from Neurobiology of Language
#5
of 7 outputs
Altmetric has tracked 27,742,449 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 141 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. 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 439,015 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.