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Field rice panicle detection and counting based on deep learning

Overview of attention for article published in Frontiers in Plant Science, August 2022
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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 (58th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Field rice panicle detection and counting based on deep learning
Published in
Frontiers in Plant Science, August 2022
DOI 10.3389/fpls.2022.966495
Pubmed ID
Authors

Xinyi Wang, Wanneng Yang, Qiucheng Lv, Chenglong Huang, Xiuying Liang, Guoxing Chen, Lizhong Xiong, Lingfeng Duan

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

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 14%
Student > Bachelor 2 10%
Other 1 5%
Lecturer 1 5%
Student > Master 1 5%
Other 3 14%
Unknown 10 48%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 24%
Computer Science 2 10%
Unspecified 1 5%
Engineering 1 5%
Unknown 12 57%
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 22 August 2022.
All research outputs
#15,048,038
of 23,151,189 outputs
Outputs from Frontiers in Plant Science
#9,470
of 20,837 outputs
Outputs of similar age
#218,077
of 432,777 outputs
Outputs of similar age from Frontiers in Plant Science
#439
of 1,330 outputs
Altmetric has tracked 23,151,189 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,837 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 47th percentile – i.e., 47% 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 432,777 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,330 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 58% of its contemporaries.