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Neuronal Population Activity in Spinal Motor Circuits: Greater Than the Sum of Its Parts

Overview of attention for article published in Frontiers in Neural Circuits, December 2017
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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43 Mendeley
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Title
Neuronal Population Activity in Spinal Motor Circuits: Greater Than the Sum of Its Parts
Published in
Frontiers in Neural Circuits, December 2017
DOI 10.3389/fncir.2017.00103
Pubmed ID
Authors

Rune W. Berg

Abstract

The core elements of stereotypical movements such as locomotion, scratching and breathing are generated by networks in the lower brainstem and the spinal cord. Ensemble activities in spinal motor networks had until recently been merely a black box, but with the emergence of ultra-thin Silicon multi-electrode technology it was possible to reveal the spiking activity of larger parts of the network. A series of experiments revealed unexpected features of spinal networks, such as multiple spiking regimes and lognormal firing rate distributions. The lognormality renders the widespread idea of a typical firing rate ± standard deviation an ill-suited description, and therefore these findings define a new arithmetic of motor networks. Focusing on the population activity behind motor pattern generation this review summarizes this advance and discusses its implications.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Student > Bachelor 4 9%
Student > Doctoral Student 4 9%
Researcher 4 9%
Student > Master 4 9%
Other 5 12%
Unknown 12 28%
Readers by discipline Count As %
Neuroscience 16 37%
Agricultural and Biological Sciences 4 9%
Computer Science 2 5%
Engineering 2 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 5 12%
Unknown 13 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 31 October 2018.
All research outputs
#6,365,353
of 23,628,742 outputs
Outputs from Frontiers in Neural Circuits
#370
of 1,242 outputs
Outputs of similar age
#124,653
of 443,155 outputs
Outputs of similar age from Frontiers in Neural Circuits
#13
of 33 outputs
Altmetric has tracked 23,628,742 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,242 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 70% of its peers.
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 443,155 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.