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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Model-Augmented Haptic Telemanipulation: Concept, Retrospective Overview, and Current Use Cases
|
|---|---|
| Published in |
Frontiers in Robotics and AI, June 2021
|
| DOI | 10.3389/frobt.2021.611251 |
| Pubmed ID | |
| Authors |
Thomas Hulin, Michael Panzirsch, Harsimran Singh, Andre Coelho, Ribin Balachandran, Aaron Pereira, Bernhard M. Weber, Nicolai Bechtel, Cornelia Riecke, Bernhard Brunner, Neal Y. Lii, Julian Klodmann, Anja Hellings, Katharina Hagmann, Gabriel Quere, Adrian S. Bauer, Marek Sierotowicz, Roberto Lampariello, Jörn Vogel, Alexander Dietrich, Daniel Leidner, Christian Ott, Gerd Hirzinger, Alin Albu-Schäffer |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 4 | 16% |
| Student > Ph. D. Student | 4 | 16% |
| Unspecified | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Other | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 9 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 32% |
| Mathematics | 3 | 12% |
| Computer Science | 2 | 8% |
| Unspecified | 2 | 8% |
| Unknown | 10 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 31 August 2023.
All research outputs
#6,753,387
of 24,891,087 outputs
Outputs from Frontiers in Robotics and AI
#414
of 1,703 outputs
Outputs of similar age
#135,507
of 438,477 outputs
Outputs of similar age from Frontiers in Robotics and AI
#36
of 143 outputs
Altmetric has tracked 24,891,087 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,703 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 75% 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 438,477 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 143 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.