↓ Skip to main content

Improving the accuracy of cotton seedling emergence rate estimation by fusing UAV-based multispectral vegetation indices

Overview of attention for article published in Frontiers in Plant Science, March 2024
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
4 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
Improving the accuracy of cotton seedling emergence rate estimation by fusing UAV-based multispectral vegetation indices
Published in
Frontiers in Plant Science, March 2024
DOI 10.3389/fpls.2024.1333089
Pubmed ID
Authors

Tiansheng Li, Haijiang Wang, Jing Cui, Weiju Wang, Wenruiyu Li, Menghao Jiang, Xiaoyan Shi, Jianghui Song, Jingang Wang, Xin Lv, Lifu Zhang

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.
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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Professor 1 25%
Student > Ph. D. Student 1 25%
Student > Bachelor 1 25%
Readers by discipline Count As %
Environmental Science 2 50%
Unspecified 1 25%
Engineering 1 25%
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 04 April 2024.
All research outputs
#17,923,911
of 26,238,332 outputs
Outputs from Frontiers in Plant Science
#13,184
of 25,053 outputs
Outputs of similar age
#185,207
of 347,262 outputs
Outputs of similar age from Frontiers in Plant Science
#172
of 491 outputs
Altmetric has tracked 26,238,332 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,053 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 41st percentile – i.e., 41% 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 347,262 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 491 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 56% of its contemporaries.