↓ Skip to main content

Estimations of Water Use Efficiency in Winter Wheat Based on Multi-Angle Remote Sensing

Overview of attention for article published in Frontiers in Plant Science, March 2021
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
18 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
Estimations of Water Use Efficiency in Winter Wheat Based on Multi-Angle Remote Sensing
Published in
Frontiers in Plant Science, March 2021
DOI 10.3389/fpls.2021.614417
Pubmed ID
Authors

Hai-Yan Zhang, Meng-Ran Liu, Zi-Heng Feng, Li Song, Xiao Li, Wan-Dai Liu, Chen-Yang Wang, Wei Feng

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

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 44%
Student > Bachelor 3 17%
Student > Ph. D. Student 2 11%
Professor 1 6%
Researcher 1 6%
Other 0 0%
Unknown 3 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 50%
Earth and Planetary Sciences 2 11%
Engineering 2 11%
Business, Management and Accounting 1 6%
Social Sciences 1 6%
Other 1 6%
Unknown 2 11%
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 05 May 2021.
All research outputs
#15,685,238
of 23,308,124 outputs
Outputs from Frontiers in Plant Science
#11,256
of 21,135 outputs
Outputs of similar age
#261,859
of 431,501 outputs
Outputs of similar age from Frontiers in Plant Science
#302
of 536 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,135 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 40th percentile – i.e., 40% 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 431,501 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 536 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.