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Prediction of Forelimb Reach Results From Motor Cortex Activities Based on Calcium Imaging and Deep Learning

Overview of attention for article published in Frontiers in Cellular Neuroscience, March 2019
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Mentioned by

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2 X users

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mendeley
45 Mendeley
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Title
Prediction of Forelimb Reach Results From Motor Cortex Activities Based on Calcium Imaging and Deep Learning
Published in
Frontiers in Cellular Neuroscience, March 2019
DOI 10.3389/fncel.2019.00088
Pubmed ID
Authors

Chunyue Li, Danny C. W. Chan, Xiaofeng Yang, Ya Ke, Wing-Ho Yung

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

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 18%
Student > Ph. D. Student 7 16%
Student > Master 6 13%
Student > Bachelor 5 11%
Student > Doctoral Student 3 7%
Other 7 16%
Unknown 9 20%
Readers by discipline Count As %
Neuroscience 14 31%
Computer Science 5 11%
Engineering 5 11%
Agricultural and Biological Sciences 3 7%
Nursing and Health Professions 1 2%
Other 4 9%
Unknown 13 29%
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 25 March 2019.
All research outputs
#17,862,595
of 26,017,215 outputs
Outputs from Frontiers in Cellular Neuroscience
#3,001
of 4,765 outputs
Outputs of similar age
#238,948
of 368,558 outputs
Outputs of similar age from Frontiers in Cellular Neuroscience
#92
of 141 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,765 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 35th percentile – i.e., 35% 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 368,558 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.