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Towards Energy-Aware Feedback Planning for Long-Range Autonomous Underwater Vehicles

Overview of attention for article published in Frontiers in Robotics and AI, March 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

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5 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Towards Energy-Aware Feedback Planning for Long-Range Autonomous Underwater Vehicles
Published in
Frontiers in Robotics and AI, March 2021
DOI 10.3389/frobt.2021.621820
Pubmed ID
Authors

Tauhidul Alam, Abdullah Al Redwan Newaz, Leonardo Bobadilla, Wesam H. Alsabban, Ryan N. Smith, Ali Karimoddini

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Researcher 2 29%
Student > Doctoral Student 1 14%
Unknown 2 29%
Readers by discipline Count As %
Engineering 2 29%
Computer Science 1 14%
Environmental Science 1 14%
Unknown 3 43%
Attention Score in Context

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 20 March 2021.
All research outputs
#15,332,207
of 23,577,761 outputs
Outputs from Frontiers in Robotics and AI
#931
of 1,568 outputs
Outputs of similar age
#247,130
of 427,931 outputs
Outputs of similar age from Frontiers in Robotics and AI
#55
of 101 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% 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 is in the 31st percentile – i.e., 31% 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 427,931 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.