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Contest-Driven Soft-Robotics Boost: The RoboSoft Grand Challenge

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

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Readers on

mendeley
25 Mendeley
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Title
Contest-Driven Soft-Robotics Boost: The RoboSoft Grand Challenge
Published in
Frontiers in Robotics and AI, September 2016
DOI 10.3389/frobt.2016.00055
Authors

Marcello Calisti, Matteo Cianchetti, Mariangela Manti, Francesco Corucci, Cecilia Laschi

Timeline

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

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 40%
Student > Master 2 8%
Student > Bachelor 2 8%
Student > Doctoral Student 2 8%
Other 1 4%
Other 5 20%
Unknown 3 12%
Readers by discipline Count As %
Engineering 19 76%
Unspecified 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Design 1 4%
Unknown 3 12%
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 07 January 2017.
All research outputs
#13,990,008
of 22,889,074 outputs
Outputs from Frontiers in Robotics and AI
#748
of 1,503 outputs
Outputs of similar age
#179,255
of 322,700 outputs
Outputs of similar age from Frontiers in Robotics and AI
#14
of 19 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,503 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 46th percentile – i.e., 46% 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 322,700 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 19 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.