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Supervised Learning in SNN via Reward-Modulated Spike-Timing-Dependent Plasticity for a Target Reaching Vehicle

Overview of attention for article published in Frontiers in Neurorobotics, May 2019
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Mentioned by

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1 X user

Citations

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32 Dimensions

Readers on

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89 Mendeley
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Title
Supervised Learning in SNN via Reward-Modulated Spike-Timing-Dependent Plasticity for a Target Reaching Vehicle
Published in
Frontiers in Neurorobotics, May 2019
DOI 10.3389/fnbot.2019.00018
Pubmed ID
Authors

Zhenshan Bing, Ivan Baumann, Zhuangyi Jiang, Kai Huang, Caixia Cai, Alois Knoll

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 21%
Student > Master 15 17%
Student > Doctoral Student 7 8%
Student > Bachelor 5 6%
Researcher 3 3%
Other 2 2%
Unknown 38 43%
Readers by discipline Count As %
Computer Science 22 25%
Engineering 19 21%
Mathematics 2 2%
Neuroscience 2 2%
Nursing and Health Professions 1 1%
Other 4 4%
Unknown 39 44%
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 13 May 2019.
All research outputs
#20,569,780
of 23,146,350 outputs
Outputs from Frontiers in Neurorobotics
#703
of 890 outputs
Outputs of similar age
#299,064
of 349,804 outputs
Outputs of similar age from Frontiers in Neurorobotics
#22
of 27 outputs
Altmetric has tracked 23,146,350 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 890 research outputs from this source. They receive a mean Attention Score of 4.1. 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 349,804 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 27 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.