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The iCub Software Architecture: Evolution and Lessons Learned

Overview of attention for article published in Frontiers in Robotics and AI, April 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
5 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
29 Mendeley
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Title
The iCub Software Architecture: Evolution and Lessons Learned
Published in
Frontiers in Robotics and AI, April 2016
DOI 10.3389/frobt.2016.00024
Authors

Lorenzo Natale, Ali Paikan, Marco Randazzo, Daniele E. Domenichelli

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 45%
Student > Master 4 14%
Student > Bachelor 2 7%
Researcher 2 7%
Professor 1 3%
Other 3 10%
Unknown 4 14%
Readers by discipline Count As %
Computer Science 12 41%
Engineering 9 31%
Mathematics 1 3%
Psychology 1 3%
Unspecified 1 3%
Other 0 0%
Unknown 5 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 27 May 2016.
All research outputs
#5,723,272
of 22,865,319 outputs
Outputs from Frontiers in Robotics and AI
#357
of 1,499 outputs
Outputs of similar age
#81,007
of 298,924 outputs
Outputs of similar age from Frontiers in Robotics and AI
#8
of 22 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,499 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 done well, scoring higher than 76% 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 298,924 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
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 has gotten more attention than average, scoring higher than 63% of its contemporaries.