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Three-Dimensional Modeling of Maize Canopies Based on Computational Intelligence

Overview of attention for article published in Plant Phenomics, March 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 279)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
7 news outlets
twitter
12 X users
facebook
1 Facebook page

Citations

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2 Dimensions

Readers on

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2 Mendeley
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Title
Three-Dimensional Modeling of Maize Canopies Based on Computational Intelligence
Published in
Plant Phenomics, March 2024
DOI 10.34133/plantphenomics.0160
Pubmed ID
Authors

Yandong Wu, Weiliang Wen, Shenghao Gu, Guanmin Huang, Chuanyu Wang, Xianju Lu, Pengliang Xiao, Xinyu Guo, Linsheng Huang

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 58. 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 12 October 2024.
All research outputs
#796,648
of 26,799,422 outputs
Outputs from Plant Phenomics
#8
of 279 outputs
Outputs of similar age
#13,788
of 358,313 outputs
Outputs of similar age from Plant Phenomics
#3
of 25 outputs
Altmetric has tracked 26,799,422 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done particularly well, scoring higher than 97% of its peers.
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 358,313 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.