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Method for accurate multi-growth-stage estimation of fractional vegetation cover using unmanned aerial vehicle remote sensing

Overview of attention for article published in Plant Methods, May 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
8 X users
facebook
3 Facebook pages

Readers on

mendeley
35 Mendeley
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Title
Method for accurate multi-growth-stage estimation of fractional vegetation cover using unmanned aerial vehicle remote sensing
Published in
Plant Methods, May 2021
DOI 10.1186/s13007-021-00752-3
Pubmed ID
Authors

Jibo Yue, Wei Guo, Guijun Yang, Chengquan Zhou, Haikuan Feng, Hongbo Qiao

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 14%
Student > Doctoral Student 4 11%
Researcher 3 9%
Student > Ph. D. Student 3 9%
Student > Bachelor 2 6%
Other 2 6%
Unknown 16 46%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 23%
Environmental Science 4 11%
Computer Science 3 9%
Engineering 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 6%
Unknown 15 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 12 June 2021.
All research outputs
#6,840,055
of 25,163,238 outputs
Outputs from Plant Methods
#403
of 1,237 outputs
Outputs of similar age
#136,256
of 437,527 outputs
Outputs of similar age from Plant Methods
#6
of 33 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,237 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 67% 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 437,527 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 68% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.