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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Simulation, Learning, and Application of Vision-Based Tactile Sensing at Large Scale
|
|---|---|
| Published in |
IEEE Transactions on Robotics, February 2023
|
| DOI | 10.1109/tro.2023.3245983 |
| Authors |
Quan Khanh Luu, Nhan Huu Nguyen, Van Anh Ho |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 15% |
| Student > Ph. D. Student | 3 | 12% |
| Other | 2 | 8% |
| Student > Bachelor | 1 | 4% |
| Student > Master | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 14 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 38% |
| Computer Science | 2 | 8% |
| Unknown | 14 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 62. 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 03 September 2023.
All research outputs
#689,016
of 25,394,764 outputs
Outputs from IEEE Transactions on Robotics
#27
of 857 outputs
Outputs of similar age
#15,301
of 422,295 outputs
Outputs of similar age from IEEE Transactions on Robotics
#2
of 13 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 857 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 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 422,295 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 96% 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 well, scoring higher than 84% of its contemporaries.