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RGB-D Object Recognition and Grasp Detection Using Hierarchical Cascaded Forests

Overview of attention for article published in IEEE Transactions on Robotics, January 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Readers on

mendeley
127 Mendeley
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Article details
Title
RGB-D Object Recognition and Grasp Detection Using Hierarchical Cascaded Forests
Published in
IEEE Transactions on Robotics, January 2017
DOI 10.1109/tro.2016.2638453
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 127 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 37 29%
Student > Master 21 17%
Student > Bachelor 12 9%
Researcher 8 6%
Student > Doctoral Student 6 5%
Other 11 9%
Unknown 32 25%
Readers by discipline
Readers by discipline Count As %
Engineering 53 42%
Computer Science 34 27%
Mathematics 1 <1%
Economics, Econometrics and Finance 1 <1%
Medicine and Dentistry 1 <1%
Other 1 <1%
Unknown 36 28%
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 23 August 2022.
All research outputs
#7,780,614
of 25,382,440 outputs
Outputs from IEEE Transactions on Robotics
#309
of 856 outputs
Outputs of similar age
#132,741
of 421,294 outputs
Outputs of similar age from IEEE Transactions on Robotics
#6
of 18 outputs
Altmetric has tracked 25,382,440 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 856 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 63% 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 421,294 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 18 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 66% of its contemporaries.