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“Sequencing Matters”: Investigating Suitable Action Sequences in Robot-Assisted Autism Therapy

Overview of attention for article published in Frontiers in Robotics and AI, March 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
31 Mendeley
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Title
“Sequencing Matters”: Investigating Suitable Action Sequences in Robot-Assisted Autism Therapy
Published in
Frontiers in Robotics and AI, March 2022
DOI 10.3389/frobt.2022.784249
Pubmed ID
Authors

Kim Baraka, Marta Couto, Francisco S. Melo, Ana Paiva, Manuela Veloso

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 6%
Other 2 6%
Student > Bachelor 2 6%
Researcher 2 6%
Student > Ph. D. Student 2 6%
Other 2 6%
Unknown 19 61%
Readers by discipline Count As %
Psychology 3 10%
Computer Science 3 10%
Unspecified 2 6%
Business, Management and Accounting 1 3%
Nursing and Health Professions 1 3%
Other 2 6%
Unknown 19 61%
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 06 June 2022.
All research outputs
#6,708,962
of 22,716,996 outputs
Outputs from Frontiers in Robotics and AI
#440
of 1,484 outputs
Outputs of similar age
#136,485
of 435,506 outputs
Outputs of similar age from Frontiers in Robotics and AI
#19
of 104 outputs
Altmetric has tracked 22,716,996 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,484 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 70% 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 435,506 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 68% of its contemporaries.
We're also able to compare this research output to 104 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.