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Learning channel-selective and aberrance repressed correlation filter with memory model for unmanned aerial vehicle object tracking

Overview of attention for article published in Frontiers in Neuroscience, January 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

twitter
2 X users

Citations

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1 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Learning channel-selective and aberrance repressed correlation filter with memory model for unmanned aerial vehicle object tracking
Published in
Frontiers in Neuroscience, January 2023
DOI 10.3389/fnins.2022.1080521
Pubmed ID
Authors

Jianjie Cui, Jingwei Wu, Liangyu Zhao

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 18%
Student > Master 1 9%
Student > Ph. D. Student 1 9%
Unknown 7 64%
Readers by discipline Count As %
Social Sciences 3 27%
Energy 1 9%
Unknown 7 64%
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 24 January 2023.
All research outputs
#17,251,913
of 25,392,582 outputs
Outputs from Frontiers in Neuroscience
#7,944
of 11,543 outputs
Outputs of similar age
#269,703
of 475,111 outputs
Outputs of similar age from Frontiers in Neuroscience
#202
of 434 outputs
Altmetric has tracked 25,392,582 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 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 30th percentile – i.e., 30% 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 475,111 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 434 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.