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Occlusion Robust Wheat Ear Counting Algorithm Based on Deep Learning

Overview of attention for article published in Frontiers in Plant Science, June 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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37 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Occlusion Robust Wheat Ear Counting Algorithm Based on Deep Learning
Published in
Frontiers in Plant Science, June 2021
DOI 10.3389/fpls.2021.645899
Pubmed ID
Authors

Yiding Wang, Yuxin Qin, Jiali Cui

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Bachelor 3 9%
Professor > Associate Professor 3 9%
Student > Master 3 9%
Lecturer 2 6%
Other 5 16%
Unknown 10 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 25%
Engineering 6 19%
Computer Science 4 13%
Environmental Science 1 3%
Unknown 13 41%
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 June 2021.
All research outputs
#15,633,909
of 23,308,124 outputs
Outputs from Frontiers in Plant Science
#11,021
of 21,142 outputs
Outputs of similar age
#258,020
of 446,991 outputs
Outputs of similar age from Frontiers in Plant Science
#389
of 765 outputs
Altmetric has tracked 23,308,124 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 21,142 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 46th percentile – i.e., 46% 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 446,991 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 765 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.