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A Socially Adaptable Framework for Human-Robot Interaction

Overview of attention for article published in Frontiers in Robotics and AI, October 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
61 Mendeley
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Title
A Socially Adaptable Framework for Human-Robot Interaction
Published in
Frontiers in Robotics and AI, October 2020
DOI 10.3389/frobt.2020.00121
Pubmed ID
Authors

Ana Tanevska, Francesco Rea, Giulio Sandini, Lola Cañamero, Alessandra Sciutti

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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 34%
Researcher 6 10%
Student > Master 5 8%
Student > Doctoral Student 4 7%
Professor > Associate Professor 2 3%
Other 5 8%
Unknown 18 30%
Readers by discipline Count As %
Computer Science 14 23%
Engineering 12 20%
Unspecified 2 3%
Business, Management and Accounting 2 3%
Psychology 2 3%
Other 8 13%
Unknown 21 34%
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 20 October 2020.
All research outputs
#16,733,516
of 25,387,668 outputs
Outputs from Frontiers in Robotics and AI
#1,007
of 1,768 outputs
Outputs of similar age
#263,543
of 438,556 outputs
Outputs of similar age from Frontiers in Robotics and AI
#44
of 70 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,768 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 438,556 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.