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Mendeley readers
Attention Score in Context
Title |
MEDUSA: A Multi-Environment Dual-Robot for Underwater Sample Acquisition
|
---|---|
Published in |
IEEE Robotics and Automation Letters, June 2020
|
DOI | 10.1109/lra.2020.3001534 |
Authors |
Diego Debruyn, Raphael Zufferey, Sophie F. Armanini, Crystal Winston, Andr Farinha, Yufei Jin, Mirko Kovac |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 59 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 17% |
Researcher | 5 | 8% |
Lecturer | 5 | 8% |
Student > Doctoral Student | 4 | 7% |
Student > Master | 3 | 5% |
Other | 8 | 14% |
Unknown | 24 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 24 | 41% |
Computer Science | 4 | 7% |
Environmental Science | 1 | 2% |
Unspecified | 1 | 2% |
Business, Management and Accounting | 1 | 2% |
Other | 0 | 0% |
Unknown | 28 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 110. 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 17 June 2022.
All research outputs
#382,700
of 25,387,668 outputs
Outputs from IEEE Robotics and Automation Letters
#22
of 2,569 outputs
Outputs of similar age
#12,396
of 433,670 outputs
Outputs of similar age from IEEE Robotics and Automation Letters
#1
of 100 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,569 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 99% 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 433,670 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 97% 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 done particularly well, scoring higher than 99% of its contemporaries.