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SelfVIO: Self-supervised deep monocular Visual–Inertial Odometry and depth estimation

Overview of attention for article published in Neural Networks, March 2022
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  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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2 X users

Readers on

mendeley
154 Mendeley
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Article details
Title
SelfVIO: Self-supervised deep monocular Visual–Inertial Odometry and depth estimation
Published in
Neural Networks, March 2022
DOI 10.1016/j.neunet.2022.03.005
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 154 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 30 19%
Student > Master 21 14%
Researcher 8 5%
Student > Bachelor 6 4%
Lecturer 4 3%
Other 10 6%
Unknown 75 49%
Readers by discipline
Readers by discipline Count As %
Computer Science 40 26%
Engineering 29 19%
Medicine and Dentistry 2 1%
Environmental Science 1 <1%
Physics and Astronomy 1 <1%
Other 1 <1%
Unknown 80 52%
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 2022.
All research outputs
#18,597,888
of 27,821,754 outputs
Outputs from Neural Networks
#1,108
of 1,911 outputs
Outputs of similar age
#261,512
of 455,197 outputs
Outputs of similar age from Neural Networks
#20
of 103 outputs
Altmetric has tracked 27,821,754 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,911 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 40th percentile – i.e., 40% 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 455,197 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 103 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.