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Morphological Computation Increases From Lower- to Higher-Level of Biological Motor Control Hierarchy

Overview of attention for article published in Frontiers in Robotics and AI, October 2020
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Mentioned by

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1 X user

Citations

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7 Dimensions

Readers on

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22 Mendeley
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Title
Morphological Computation Increases From Lower- to Higher-Level of Biological Motor Control Hierarchy
Published in
Frontiers in Robotics and AI, October 2020
DOI 10.3389/frobt.2020.511265
Pubmed ID
Authors

Daniel F. B. Haeufle, Katrin Stollenmaier, Isabelle Heinrich, Syn Schmitt, Keyan Ghazi-Zahedi

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

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Student > Master 4 18%
Student > Doctoral Student 3 14%
Professor 2 9%
Other 1 5%
Other 2 9%
Unknown 5 23%
Readers by discipline Count As %
Engineering 9 41%
Nursing and Health Professions 3 14%
Neuroscience 2 9%
Biochemistry, Genetics and Molecular Biology 1 5%
Psychology 1 5%
Other 0 0%
Unknown 6 27%
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 21 October 2020.
All research outputs
#18,761,080
of 23,253,955 outputs
Outputs from Frontiers in Robotics and AI
#1,327
of 1,533 outputs
Outputs of similar age
#314,571
of 419,745 outputs
Outputs of similar age from Frontiers in Robotics and AI
#57
of 71 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,533 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. 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 419,745 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 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.