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Robustness Improvement of Visual Templates Matching Based on Frequency-Tuned Model in RatSLAM

Overview of attention for article published in Frontiers in Neurorobotics, September 2020
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1 X user

Readers on

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9 Mendeley
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Title
Robustness Improvement of Visual Templates Matching Based on Frequency-Tuned Model in RatSLAM
Published in
Frontiers in Neurorobotics, September 2020
DOI 10.3389/fnbot.2020.568091
Pubmed ID
Authors

Shumei Yu, Junyi Wu, Haidong Xu, Rongchuan Sun, Lining Sun

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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 22%
Student > Bachelor 1 11%
Student > Doctoral Student 1 11%
Student > Ph. D. Student 1 11%
Researcher 1 11%
Other 0 0%
Unknown 3 33%
Readers by discipline Count As %
Engineering 3 33%
Neuroscience 1 11%
Computer Science 1 11%
Unknown 4 44%
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 08 October 2020.
All research outputs
#20,650,407
of 23,245,494 outputs
Outputs from Frontiers in Neurorobotics
#715
of 898 outputs
Outputs of similar age
#350,647
of 409,480 outputs
Outputs of similar age from Frontiers in Neurorobotics
#26
of 32 outputs
Altmetric has tracked 23,245,494 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 898 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 1st percentile – i.e., 1% 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 409,480 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.