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Evaluating Morphological Computation in Muscle and DC-Motor Driven Models of Hopping Movements

Overview of attention for article published in Frontiers in Robotics and AI, July 2016
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Citations

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19 Dimensions

Readers on

mendeley
36 Mendeley
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Title
Evaluating Morphological Computation in Muscle and DC-Motor Driven Models of Hopping Movements
Published in
Frontiers in Robotics and AI, July 2016
DOI 10.3389/frobt.2016.00042
Authors

Keyan Ghazi-Zahedi, Daniel F. B. Haeufle, Guido Montúfar, Syn Schmitt, Nihat Ay

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 8%
Unknown 33 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 42%
Student > Master 6 17%
Researcher 4 11%
Student > Doctoral Student 2 6%
Student > Bachelor 1 3%
Other 2 6%
Unknown 6 17%
Readers by discipline Count As %
Engineering 15 42%
Computer Science 3 8%
Physics and Astronomy 3 8%
Agricultural and Biological Sciences 2 6%
Mathematics 1 3%
Other 3 8%
Unknown 9 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 July 2016.
All research outputs
#13,345,950
of 23,852,579 outputs
Outputs from Frontiers in Robotics and AI
#572
of 1,584 outputs
Outputs of similar age
#191,772
of 369,624 outputs
Outputs of similar age from Frontiers in Robotics and AI
#13
of 22 outputs
Altmetric has tracked 23,852,579 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,584 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has gotten more attention than average, scoring higher than 62% 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 369,624 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.