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Field-Based High-Throughput Phenotyping for Maize Plant Using 3D LiDAR Point Cloud Generated With a “Phenomobile”

Overview of attention for article published in Frontiers in Plant Science, May 2019
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Mentioned by

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1 Facebook page

Citations

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86 Dimensions

Readers on

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95 Mendeley
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Title
Field-Based High-Throughput Phenotyping for Maize Plant Using 3D LiDAR Point Cloud Generated With a “Phenomobile”
Published in
Frontiers in Plant Science, May 2019
DOI 10.3389/fpls.2019.00554
Pubmed ID
Authors

Quan Qiu, Na Sun, He Bai, Ning Wang, Zhengqiang Fan, Yanjun Wang, Zhijun Meng, Bin Li, Yue Cong

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 20%
Researcher 11 12%
Student > Master 11 12%
Student > Bachelor 7 7%
Student > Doctoral Student 3 3%
Other 12 13%
Unknown 32 34%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 29%
Engineering 15 16%
Computer Science 6 6%
Biochemistry, Genetics and Molecular Biology 4 4%
Unspecified 3 3%
Other 4 4%
Unknown 35 37%
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
#20,609,577
of 23,198,445 outputs
Outputs from Frontiers in Plant Science
#16,799
of 20,942 outputs
Outputs of similar age
#299,629
of 350,609 outputs
Outputs of similar age from Frontiers in Plant Science
#315
of 359 outputs
Altmetric has tracked 23,198,445 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,942 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% 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 350,609 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 359 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.