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Multi-Source Data Fusion Improves Time-Series Phenotype Accuracy in Maize under a Field High-Throughput Phenotyping Platform

Overview of attention for article published in Plant Phenomics, April 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#17 of 243)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
5 news outlets
twitter
18 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Multi-Source Data Fusion Improves Time-Series Phenotype Accuracy in Maize under a Field High-Throughput Phenotyping Platform
Published in
Plant Phenomics, April 2023
DOI 10.34133/plantphenomics.0043
Pubmed ID
Authors

Yinglun Li, Weiliang Wen, Jiangchuan Fan, Wenbo Gou, Shenghao Gu, Xianju Lu, Zetao Yu, Xiaodong Wang, Xinyu Guo

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 17%
Researcher 1 8%
Student > Ph. D. Student 1 8%
Student > Doctoral Student 1 8%
Other 1 8%
Other 0 0%
Unknown 6 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 50%
Engineering 1 8%
Unknown 5 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 47. 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 25 June 2024.
All research outputs
#934,659
of 26,183,699 outputs
Outputs from Plant Phenomics
#17
of 243 outputs
Outputs of similar age
#19,746
of 421,301 outputs
Outputs of similar age from Plant Phenomics
#3
of 23 outputs
Altmetric has tracked 26,183,699 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 243 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one has done particularly well, scoring higher than 93% 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 421,301 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 95% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.