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X Demographics
Mendeley readers
Attention Score in Context
Title |
μRALP and Beyond: Micro-Technologies and Systems for Robot-Assisted Endoscopic Laser Microsurgery
|
---|---|
Published in |
Frontiers in Robotics and AI, September 2021
|
DOI | 10.3389/frobt.2021.664655 |
Pubmed ID | |
Authors |
Leonardo S. Mattos, Alperen Acemoglu, André Geraldes, Andrea Laborai, Andreas Schoob, Brahim Tamadazte, Brian Davies, Bruno Wacogne, Christian Pieralli, Corina Barbalata, Darwin G. Caldwell, Dennis Kundrat, Diego Pardo, Edward Grant, Francesco Mora, Giacinto Barresi, Giorgio Peretti, Jesùs Ortiz, Kanty Rabenorosoa, Laurent Tavernier, Lionel Pazart, Loris Fichera, Luca Guastini, Lüder A. Kahrs, Micky Rakotondrabe, Nicolas Andreff, Nikhil Deshpande, Olivier Gaiffe, Rupert Renevier, Sara Moccia, Sergio Lescano, Tobias Ortmaier, Veronica Penza |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 20% |
United States | 1 | 20% |
South Africa | 1 | 20% |
Switzerland | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 15% |
Researcher | 4 | 12% |
Lecturer | 1 | 3% |
Student > Bachelor | 1 | 3% |
Professor | 1 | 3% |
Other | 3 | 9% |
Unknown | 18 | 55% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 7 | 21% |
Materials Science | 2 | 6% |
Psychology | 1 | 3% |
Computer Science | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Other | 0 | 0% |
Unknown | 21 | 64% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 27 September 2021.
All research outputs
#7,755,290
of 23,577,761 outputs
Outputs from Frontiers in Robotics and AI
#547
of 1,568 outputs
Outputs of similar age
#154,768
of 430,956 outputs
Outputs of similar age from Frontiers in Robotics and AI
#28
of 100 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,568 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has gotten more attention than average, scoring higher than 64% 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 430,956 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 61% of its contemporaries.
We're also able to compare this research output to 100 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 71% of its contemporaries.