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Robot grasp detection using multimodal deep convolutional neural networks

Overview of attention for article published in Advances in Mechanical Engineering, September 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#10 of 305)
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

patent
22 patents

Readers on

mendeley
111 Mendeley
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Article details
Title
Robot grasp detection using multimodal deep convolutional neural networks
Published in
Advances in Mechanical Engineering, September 2016
DOI 10.1177/1687814016668077
Authors

Zhichao Wang, Zhiqi Li, Bin Wang, Hong Liu

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Germany 1 <1%
Unknown 110 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 30 27%
Student > Ph. D. Student 28 25%
Student > Bachelor 8 7%
Researcher 8 7%
Student > Doctoral Student 5 5%
Other 6 5%
Unknown 26 23%
Readers by discipline
Readers by discipline Count As %
Engineering 47 42%
Computer Science 31 28%
Environmental Science 1 <1%
Physics and Astronomy 1 <1%
Decision Sciences 1 <1%
Other 1 <1%
Unknown 29 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 September 2026.
All research outputs
#3,184,132
of 27,949,145 outputs
Outputs from Advances in Mechanical Engineering
#10
of 305 outputs
Outputs of similar age
#46,118
of 311,292 outputs
Outputs of similar age from Advances in Mechanical Engineering
#1
of 13 outputs
Altmetric has tracked 27,949,145 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 305 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 96% 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 311,292 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 13 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 92% of its contemporaries.