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Timeline
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Attention Score in Context
Title |
Online tree-based planning for active spacecraft fault estimation and collision avoidance
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Published in |
Science Robotics, August 2024
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DOI | 10.1126/scirobotics.adn4722 |
Pubmed ID | |
Authors |
James Ragan, Benjamin Riviere, Fred Y Hadaegh, Soon-Jo Chung |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 02 September 2024.
All research outputs
#1,314,853
of 26,556,730 outputs
Outputs from Science Robotics
#478
of 682 outputs
Outputs of similar age
#7,418
of 141,193 outputs
Outputs of similar age from Science Robotics
#13
of 15 outputs
Altmetric has tracked 26,556,730 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 682 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 165.2. This one is in the 29th percentile – i.e., 29% 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 141,193 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 94% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.