↓ Skip to main content

Rice Yield Estimation Using Parcel-Level Relative Spectral Variables From UAV-Based Hyperspectral Imagery

Overview of attention for article published in Frontiers in Plant Science, April 2019
Altmetric Badge

About this Attention Score

  • 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
facebook
2 Facebook pages

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
87 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Rice Yield Estimation Using Parcel-Level Relative Spectral Variables From UAV-Based Hyperspectral Imagery
Published in
Frontiers in Plant Science, April 2019
DOI 10.3389/fpls.2019.00453
Pubmed ID
Authors

Feilong Wang, Fumin Wang, Yao Zhang, Jinghui Hu, Jingfeng Huang, Jingkai Xie

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 23%
Student > Ph. D. Student 11 13%
Researcher 7 8%
Student > Doctoral Student 4 5%
Student > Bachelor 4 5%
Other 8 9%
Unknown 33 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 24%
Engineering 10 11%
Environmental Science 7 8%
Computer Science 4 5%
Earth and Planetary Sciences 3 3%
Other 4 5%
Unknown 38 44%
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 15 April 2019.
All research outputs
#16,363,465
of 26,017,215 outputs
Outputs from Frontiers in Plant Science
#8,991
of 24,949 outputs
Outputs of similar age
#209,660
of 369,505 outputs
Outputs of similar age from Frontiers in Plant Science
#235
of 398 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,949 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 369,505 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 398 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.