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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Recurrent Neural-Network-Based Real-Time Dynamic Model for Soft Continuum Manipulators
|
|---|---|
| Published in |
Frontiers in Robotics and AI, March 2021
|
| DOI | 10.3389/frobt.2021.631303 |
| Pubmed ID | |
| Authors |
Abbas Tariverdi, Venkatasubramanian Kalpathy Venkiteswaran, Michiel Richter, Ole J. Elle, Jim Tørresen, Kim Mathiassen, Sarthak Misra, Ørjan G. Martinsen |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Thailand | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 21% |
| Student > Bachelor | 3 | 13% |
| Other | 2 | 8% |
| Researcher | 2 | 8% |
| Student > Master | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 42% |
| Computer Science | 1 | 4% |
| Unspecified | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 18 March 2021.
All research outputs
#14,536,886
of 23,277,141 outputs
Outputs from Frontiers in Robotics and AI
#835
of 1,535 outputs
Outputs of similar age
#244,971
of 454,771 outputs
Outputs of similar age from Frontiers in Robotics and AI
#46
of 98 outputs
Altmetric has tracked 23,277,141 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,535 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 454,771 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.