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Lifelong Personalization via Gaussian Process Modeling for Long-Term HRI

Overview of attention for article published in Frontiers in Robotics and AI, June 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Lifelong Personalization via Gaussian Process Modeling for Long-Term HRI
Published in
Frontiers in Robotics and AI, June 2021
DOI 10.3389/frobt.2021.683066
Pubmed ID
Authors

Samuel Spaulding, Jocelyn Shen, Hae Won Park, Cynthia Breazeal

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 32%
Unspecified 2 9%
Student > Bachelor 2 9%
Student > Doctoral Student 1 5%
Lecturer > Senior Lecturer 1 5%
Other 2 9%
Unknown 7 32%
Readers by discipline Count As %
Computer Science 6 27%
Engineering 3 14%
Unspecified 2 9%
Psychology 1 5%
Neuroscience 1 5%
Other 1 5%
Unknown 8 36%
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 11 June 2021.
All research outputs
#7,076,697
of 23,308,124 outputs
Outputs from Frontiers in Robotics and AI
#471
of 1,540 outputs
Outputs of similar age
#152,208
of 447,409 outputs
Outputs of similar age from Frontiers in Robotics and AI
#43
of 144 outputs
Altmetric has tracked 23,308,124 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 1,540 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. 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 447,409 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 65% of its contemporaries.
We're also able to compare this research output to 144 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 68% of its contemporaries.