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A Neural Network-Based Approach for Trajectory Planning in Robot–Human Handover Tasks

Overview of attention for article published in Frontiers in Robotics and AI, June 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#33 of 1,789)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
12 news outlets
blogs
2 blogs
twitter
3 X users
patent
3 patents

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
101 Mendeley
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Title
A Neural Network-Based Approach for Trajectory Planning in Robot–Human Handover Tasks
Published in
Frontiers in Robotics and AI, June 2016
DOI 10.3389/frobt.2016.00034
Authors

Elena De Momi, Laurens Kranendonk, Marta Valenti, Nima Enayati, Giancarlo Ferrigno

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

Geographical breakdown

Country Count As %
Germany 1 <1%
Unknown 100 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 24%
Student > Master 19 19%
Researcher 10 10%
Student > Bachelor 9 9%
Student > Doctoral Student 8 8%
Other 11 11%
Unknown 20 20%
Readers by discipline Count As %
Engineering 49 49%
Computer Science 16 16%
Nursing and Health Professions 4 4%
Psychology 2 2%
Social Sciences 2 2%
Other 4 4%
Unknown 24 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 114. 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 22 March 2024.
All research outputs
#374,165
of 25,738,558 outputs
Outputs from Frontiers in Robotics and AI
#33
of 1,789 outputs
Outputs of similar age
#7,408
of 368,939 outputs
Outputs of similar age from Frontiers in Robotics and AI
#1
of 20 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,789 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has done particularly well, scoring higher than 98% 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 368,939 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.