↓ Skip to main content

Implementation of NAO Robot Maze Navigation Based on Computer Vision and Collaborative Learning

Overview of attention for article published in Frontiers in Robotics and AI, April 2022
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
16 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
Implementation of NAO Robot Maze Navigation Based on Computer Vision and Collaborative Learning
Published in
Frontiers in Robotics and AI, April 2022
DOI 10.3389/frobt.2022.834021
Pubmed ID
Authors

Daniela Magallán-Ramírez, Jorge David Martínez-Aguilar, Areli Rodríguez-Tirado, David Balderas, Edgar Omar López-Caudana, Carlos Francisco Moreno-García

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 13%
Unspecified 1 6%
Lecturer > Senior Lecturer 1 6%
Professor 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 9 56%
Readers by discipline Count As %
Business, Management and Accounting 2 13%
Social Sciences 2 13%
Computer Science 2 13%
Environmental Science 1 6%
Unspecified 1 6%
Other 0 0%
Unknown 8 50%
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 28 June 2022.
All research outputs
#6,882,053
of 22,759,618 outputs
Outputs from Frontiers in Robotics and AI
#459
of 1,487 outputs
Outputs of similar age
#140,701
of 438,469 outputs
Outputs of similar age from Frontiers in Robotics and AI
#19
of 103 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,487 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 68% 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 438,469 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 67% of its contemporaries.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.