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Pose estimation by extended Kalman filter using noise covariance matrices based on sensor output

Overview of attention for article published in ROBOMECH Journal, October 2020
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Mentioned by

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1 X user

Citations

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16 Dimensions

Readers on

mendeley
32 Mendeley
Title
Pose estimation by extended Kalman filter using noise covariance matrices based on sensor output
Published in
ROBOMECH Journal, October 2020
DOI 10.1186/s40648-020-00185-y
Authors

Ayuko Saito, Satoru Kizawa, Yoshikazu Kobayashi, Kazuto Miyawaki

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 16%
Student > Bachelor 3 9%
Other 2 6%
Researcher 2 6%
Student > Ph. D. Student 1 3%
Other 3 9%
Unknown 16 50%
Readers by discipline Count As %
Engineering 9 28%
Unspecified 1 3%
Computer Science 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Neuroscience 1 3%
Other 1 3%
Unknown 18 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 November 2020.
All research outputs
#18,764,674
of 23,257,423 outputs
Outputs from ROBOMECH Journal
#52
of 72 outputs
Outputs of similar age
#314,469
of 419,382 outputs
Outputs of similar age from ROBOMECH Journal
#1
of 2 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 72 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 8th percentile – i.e., 8% 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 419,382 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them