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Set-Based Tasks within the Singularity-Robust Multiple Task-Priority Inverse Kinematics Framework: General Formulation, Stability Analysis, and Experimental Results

Overview of attention for article published in Frontiers in Robotics and AI, April 2016
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Mentioned by

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2 X users

Citations

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86 Dimensions

Readers on

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56 Mendeley
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Title
Set-Based Tasks within the Singularity-Robust Multiple Task-Priority Inverse Kinematics Framework: General Formulation, Stability Analysis, and Experimental Results
Published in
Frontiers in Robotics and AI, April 2016
DOI 10.3389/frobt.2016.00016
Authors

Signe Moe, Gianluca Antonelli, Andrew R. Teel, Kristin Y. Pettersen, Johannes Schrimpf

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

Geographical breakdown

Country Count As %
Italy 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 30%
Student > Master 10 18%
Other 2 4%
Professor 2 4%
Student > Bachelor 2 4%
Other 3 5%
Unknown 20 36%
Readers by discipline Count As %
Engineering 24 43%
Computer Science 8 14%
Unspecified 1 2%
Design 1 2%
Unknown 22 39%
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 19 April 2016.
All research outputs
#14,718,157
of 22,862,742 outputs
Outputs from Frontiers in Robotics and AI
#887
of 1,498 outputs
Outputs of similar age
#167,991
of 299,111 outputs
Outputs of similar age from Frontiers in Robotics and AI
#18
of 24 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,498 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one is in the 39th percentile – i.e., 39% 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 299,111 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.