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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An Overview on Principles for Energy Efficient Robot Locomotion
|
|---|---|
| Published in |
Frontiers in Robotics and AI, December 2018
|
| DOI | 10.3389/frobt.2018.00129 |
| Pubmed ID | |
| Authors |
Navvab Kashiri, Andy Abate, Sabrina J. Abram, Alin Albu-Schaffer, Patrick J. Clary, Monica Daley, Salman Faraji, Raphael Furnemont, Manolo Garabini, Hartmut Geyer, Alena M. Grabowski, Jonathan Hurst, Jorn Malzahn, Glenn Mathijssen, David Remy, Wesley Roozing, Mohammad Shahbazi, Surabhi N. Simha, Jae-Bok Song, Nils Smit-Anseeuw, Stefano Stramigioli, Bram Vanderborght, Yevgeniy Yesilevskiy, Nikos Tsagarakis |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 38% |
| Canada | 2 | 13% |
| Belgium | 1 | 6% |
| Australia | 1 | 6% |
| Switzerland | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 4 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 50% |
| Members of the public | 8 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 140 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 29% |
| Student > Master | 16 | 11% |
| Student > Bachelor | 15 | 11% |
| Researcher | 13 | 9% |
| Student > Doctoral Student | 10 | 7% |
| Other | 11 | 8% |
| Unknown | 35 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 75 | 54% |
| Computer Science | 10 | 7% |
| Agricultural and Biological Sciences | 4 | 3% |
| Environmental Science | 3 | 2% |
| Sports and Recreations | 2 | 1% |
| Other | 7 | 5% |
| Unknown | 39 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 13 January 2019.
All research outputs
#3,656,694
of 26,004,690 outputs
Outputs from Frontiers in Robotics and AI
#237
of 1,799 outputs
Outputs of similar age
#77,107
of 448,918 outputs
Outputs of similar age from Frontiers in Robotics and AI
#2
of 20 outputs
Altmetric has tracked 26,004,690 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,799 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 well, scoring higher than 86% 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 448,918 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.