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Combining spectral and wavelet texture features for unmanned aerial vehicles remote estimation of rice leaf area index

Overview of attention for article published in Frontiers in Plant Science, August 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Combining spectral and wavelet texture features for unmanned aerial vehicles remote estimation of rice leaf area index
Published in
Frontiers in Plant Science, August 2022
DOI 10.3389/fpls.2022.957870
Pubmed ID
Authors

Cong Zhou, Yan Gong, Shenghui Fang, Kaili Yang, Yi Peng, Xianting Wu, Renshan Zhu

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 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 %
Unspecified 1 11%
Professor 1 11%
Student > Bachelor 1 11%
Student > Master 1 11%
Unknown 5 56%
Readers by discipline Count As %
Unspecified 1 11%
Computer Science 1 11%
Earth and Planetary Sciences 1 11%
Engineering 1 11%
Unknown 5 56%
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 10 August 2022.
All research outputs
#14,116,312
of 23,063,209 outputs
Outputs from Frontiers in Plant Science
#7,403
of 20,648 outputs
Outputs of similar age
#191,720
of 432,720 outputs
Outputs of similar age from Frontiers in Plant Science
#314
of 1,306 outputs
Altmetric has tracked 23,063,209 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,648 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 60% of its peers.
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 432,720 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 1,306 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 74% of its contemporaries.