The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Robotics Dexterous Grasping: The Methods Based on Point Cloud and Deep Learning
|
---|---|
Published in |
Frontiers in Neurorobotics, June 2021
|
DOI | 10.3389/fnbot.2021.658280 |
Pubmed ID | |
Authors |
Haonan Duan, Peng Wang, Yayu Huang, Guangyun Xu, Wei Wei, Xiaofei Shen |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 62 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 15% |
Student > Master | 8 | 13% |
Researcher | 4 | 6% |
Student > Doctoral Student | 3 | 5% |
Lecturer | 2 | 3% |
Other | 7 | 11% |
Unknown | 29 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 16 | 26% |
Computer Science | 11 | 18% |
Earth and Planetary Sciences | 2 | 3% |
Sports and Recreations | 1 | 2% |
Nursing and Health Professions | 1 | 2% |
Other | 2 | 3% |
Unknown | 29 | 47% |
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 15 June 2023.
All research outputs
#7,731,484
of 24,041,016 outputs
Outputs from Frontiers in Neurorobotics
#198
of 945 outputs
Outputs of similar age
#161,993
of 435,177 outputs
Outputs of similar age from Frontiers in Neurorobotics
#7
of 45 outputs
Altmetric has tracked 24,041,016 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 945 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 78% 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 435,177 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 62% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.