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Chance-constrained dynamic programming with application to risk-aware robotic space exploration

Overview of attention for article published in Autonomous Robots, August 2015
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Mentioned by

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1 X user
facebook
1 Facebook page

Citations

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71 Dimensions

Readers on

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86 Mendeley
Title
Chance-constrained dynamic programming with application to risk-aware robotic space exploration
Published in
Autonomous Robots, August 2015
DOI 10.1007/s10514-015-9467-7
Authors

Masahiro Ono, Marco Pavone, Yoshiaki Kuwata, J. Balaram

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

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 85 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 30%
Student > Master 21 24%
Student > Doctoral Student 8 9%
Student > Bachelor 8 9%
Researcher 7 8%
Other 5 6%
Unknown 11 13%
Readers by discipline Count As %
Engineering 53 62%
Computer Science 14 16%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Mathematics 1 1%
Unspecified 1 1%
Other 3 3%
Unknown 13 15%
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 18 August 2015.
All research outputs
#17,770,433
of 22,824,164 outputs
Outputs from Autonomous Robots
#392
of 518 outputs
Outputs of similar age
#179,460
of 266,176 outputs
Outputs of similar age from Autonomous Robots
#28
of 53 outputs
Altmetric has tracked 22,824,164 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 518 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 8th percentile – i.e., 8% 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 266,176 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 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.