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Combining Crop Growth Modeling and Statistical Genetic Modeling to Evaluate Phenotyping Strategies

Overview of attention for article published in Frontiers in Plant Science, November 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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9 X users

Readers on

mendeley
108 Mendeley
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Title
Combining Crop Growth Modeling and Statistical Genetic Modeling to Evaluate Phenotyping Strategies
Published in
Frontiers in Plant Science, November 2019
DOI 10.3389/fpls.2019.01491
Pubmed ID
Authors

Daniela Bustos-Korts, Martin P. Boer, Marcos Malosetti, Scott Chapman, Karine Chenu, Bangyou Zheng, Fred A. van Eeuwijk

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 23%
Student > Ph. D. Student 18 17%
Student > Master 9 8%
Student > Doctoral Student 6 6%
Other 6 6%
Other 15 14%
Unknown 29 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 55%
Biochemistry, Genetics and Molecular Biology 4 4%
Psychology 2 2%
Engineering 2 2%
Economics, Econometrics and Finance 1 <1%
Other 5 5%
Unknown 35 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 January 2020.
All research outputs
#6,006,881
of 24,088,850 outputs
Outputs from Frontiers in Plant Science
#3,071
of 22,501 outputs
Outputs of similar age
#122,329
of 465,975 outputs
Outputs of similar age from Frontiers in Plant Science
#88
of 423 outputs
Altmetric has tracked 24,088,850 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,501 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 86% 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 465,975 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 423 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.