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Adaptive Stimulus Design for Dynamic Recurrent Neural Network Models

Overview of attention for article published in Frontiers in Neural Circuits, January 2019
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Mentioned by

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1 X user

Citations

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3 Dimensions

Readers on

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21 Mendeley
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Title
Adaptive Stimulus Design for Dynamic Recurrent Neural Network Models
Published in
Frontiers in Neural Circuits, January 2019
DOI 10.3389/fncir.2018.00119
Pubmed ID
Authors

R. Ozgur Doruk, Kechen Zhang

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X Demographics

The data shown below were collected from the profile of 1 X user 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 24%
Student > Master 3 14%
Student > Doctoral Student 2 10%
Student > Ph. D. Student 2 10%
Student > Postgraduate 2 10%
Other 4 19%
Unknown 3 14%
Readers by discipline Count As %
Neuroscience 7 33%
Computer Science 3 14%
Mathematics 2 10%
Business, Management and Accounting 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 3 14%
Unknown 3 14%
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 29 January 2019.
All research outputs
#20,552,296
of 23,125,690 outputs
Outputs from Frontiers in Neural Circuits
#1,035
of 1,223 outputs
Outputs of similar age
#370,964
of 437,601 outputs
Outputs of similar age from Frontiers in Neural Circuits
#21
of 25 outputs
Altmetric has tracked 23,125,690 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,223 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 1st percentile – i.e., 1% 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 437,601 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.