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Combining self-organizing maps and biplot analysis to preselect maize phenotypic components based on UAV high-throughput phenotyping platform

Overview of attention for article published in Plant Methods, May 2019
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1 X user
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1 Facebook page

Citations

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10 Dimensions

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42 Mendeley
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Title
Combining self-organizing maps and biplot analysis to preselect maize phenotypic components based on UAV high-throughput phenotyping platform
Published in
Plant Methods, May 2019
DOI 10.1186/s13007-019-0444-6
Pubmed ID
Authors

Liang Han, Guijun Yang, Huayang Dai, Hao Yang, Bo Xu, Heli Li, Huiling Long, Zhenhai Li, Xiaodong Yang, Chunjiang Zhao

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 19%
Researcher 8 19%
Student > Ph. D. Student 5 12%
Other 3 7%
Student > Bachelor 3 7%
Other 4 10%
Unknown 11 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 38%
Engineering 3 7%
Environmental Science 2 5%
Business, Management and Accounting 1 2%
Mathematics 1 2%
Other 5 12%
Unknown 14 33%
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 09 June 2019.
All research outputs
#18,022,700
of 23,149,216 outputs
Outputs from Plant Methods
#914
of 1,096 outputs
Outputs of similar age
#245,610
of 350,248 outputs
Outputs of similar age from Plant Methods
#29
of 39 outputs
Altmetric has tracked 23,149,216 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,096 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 11th percentile – i.e., 11% 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 350,248 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.