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Applicability of UAV-based optical imagery and classification algorithms for detecting pine wilt disease at different infection stages

Overview of attention for article published in GIScience & Remote Sensing, January 2023
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Mentioned by

twitter
2 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Applicability of UAV-based optical imagery and classification algorithms for detecting pine wilt disease at different infection stages
Published in
GIScience & Remote Sensing, January 2023
DOI 10.1080/15481603.2023.2170479
Authors

Ning Zhang, Xiujuan Chai, Niwen Li, Jianhua Zhang, Tan Sun

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 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 %
Researcher 2 22%
Unspecified 1 11%
Student > Bachelor 1 11%
Student > Ph. D. Student 1 11%
Unknown 4 44%
Readers by discipline Count As %
Arts and Humanities 1 11%
Unspecified 1 11%
Computer Science 1 11%
Agricultural and Biological Sciences 1 11%
Social Sciences 1 11%
Other 0 0%
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 03 February 2023.
All research outputs
#18,120,440
of 23,275,636 outputs
Outputs from GIScience & Remote Sensing
#109
of 139 outputs
Outputs of similar age
#234,455
of 372,015 outputs
Outputs of similar age from GIScience & Remote Sensing
#1
of 2 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 139 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 20th percentile – i.e., 20% 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 372,015 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% 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