↓ Skip to main content

Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects

Overview of attention for article published in Frontiers in Robotics and AI, June 2018
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
11 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
8 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects
Published in
Frontiers in Robotics and AI, June 2018
DOI 10.3389/frobt.2018.00070
Pubmed ID
Authors

Nicolas Le Hir, Olivier Sigaud, Alban Laflaquière

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Researcher 2 25%
Professor 1 13%
Student > Master 1 13%
Student > Doctoral Student 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Engineering 3 38%
Computer Science 1 13%
Agricultural and Biological Sciences 1 13%
Physics and Astronomy 1 13%
Psychology 1 13%
Other 0 0%
Unknown 1 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 October 2018.
All research outputs
#8,639,822
of 26,411,386 outputs
Outputs from Frontiers in Robotics and AI
#588
of 1,850 outputs
Outputs of similar age
#135,076
of 345,783 outputs
Outputs of similar age from Frontiers in Robotics and AI
#27
of 46 outputs
Altmetric has tracked 26,411,386 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,850 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has gotten more attention than average, scoring higher than 67% 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 345,783 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 60% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.