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Enabling Depth-Driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives

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

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3 X users

Citations

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16 Dimensions

Readers on

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17 Mendeley
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Title
Enabling Depth-Driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives
Published in
Frontiers in Robotics and AI, June 2016
DOI 10.3389/frobt.2016.00035
Authors

Pasquale, Giulia, Mar, Tanis, Ciliberto, Carlo, Rosasco, Lorenzo, Natale, Lorenzo

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 6%
Canada 1 6%
Unknown 15 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 47%
Student > Master 3 18%
Student > Bachelor 1 6%
Lecturer 1 6%
Researcher 1 6%
Other 1 6%
Unknown 2 12%
Readers by discipline Count As %
Computer Science 7 41%
Engineering 7 41%
Psychology 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Unknown 1 6%
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 29 June 2016.
All research outputs
#13,782,109
of 22,879,161 outputs
Outputs from Frontiers in Robotics and AI
#734
of 1,502 outputs
Outputs of similar age
#192,361
of 352,012 outputs
Outputs of similar age from Frontiers in Robotics and AI
#12
of 20 outputs
Altmetric has tracked 22,879,161 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has gotten more attention than average, scoring higher than 50% 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 352,012 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.