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Weed Density Extraction Based on Few-Shot Learning Through UAV Remote Sensing RGB and Multispectral Images in Ecological Irrigation Area

Overview of attention for article published in Frontiers in Plant Science, March 2022
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Weed Density Extraction Based on Few-Shot Learning Through UAV Remote Sensing RGB and Multispectral Images in Ecological Irrigation Area
Published in
Frontiers in Plant Science, March 2022
DOI 10.3389/fpls.2021.735230
Pubmed ID
Authors

Shubo Wang, Yu Han, Jian Chen, Xiongkui He, Zichao Zhang, Xuzan Liu, Kai Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 10%
Lecturer > Senior Lecturer 1 5%
Lecturer 1 5%
Student > Ph. D. Student 1 5%
Student > Master 1 5%
Other 2 10%
Unknown 12 60%
Readers by discipline Count As %
Computer Science 3 15%
Agricultural and Biological Sciences 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Psychology 1 5%
Engineering 1 5%
Other 0 0%
Unknown 13 65%
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 25 March 2022.
All research outputs
#16,968,084
of 25,711,998 outputs
Outputs from Frontiers in Plant Science
#11,119
of 24,915 outputs
Outputs of similar age
#254,039
of 447,857 outputs
Outputs of similar age from Frontiers in Plant Science
#454
of 1,153 outputs
Altmetric has tracked 25,711,998 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 24,915 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 48th percentile – i.e., 48% 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 447,857 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 1,153 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 50% of its contemporaries.