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Editorial: Modeling of Visual Cognition, Body Sense, Motor Control and Their Integrations

Overview of attention for article published in Frontiers in Computational Neuroscience, December 2016
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2 X users

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31 Mendeley
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Title
Editorial: Modeling of Visual Cognition, Body Sense, Motor Control and Their Integrations
Published in
Frontiers in Computational Neuroscience, December 2016
DOI 10.3389/fncom.2016.00142
Pubmed ID
Authors

Hong Qiao, Li Hu

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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 16%
Researcher 3 10%
Student > Ph. D. Student 3 10%
Student > Bachelor 3 10%
Student > Doctoral Student 2 6%
Other 7 23%
Unknown 8 26%
Readers by discipline Count As %
Medicine and Dentistry 5 16%
Psychology 3 10%
Neuroscience 3 10%
Linguistics 2 6%
Social Sciences 2 6%
Other 5 16%
Unknown 11 35%
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 04 January 2017.
All research outputs
#17,849,965
of 22,925,760 outputs
Outputs from Frontiers in Computational Neuroscience
#958
of 1,347 outputs
Outputs of similar age
#293,724
of 420,925 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#28
of 36 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,347 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 22nd percentile – i.e., 22% 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 420,925 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 36 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.