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Prediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting Frameworks

Overview of attention for article published in Frontiers in Plant Science, November 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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5 X users

Citations

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24 Dimensions

Readers on

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37 Mendeley
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Title
Prediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting Frameworks
Published in
Frontiers in Plant Science, November 2021
DOI 10.3389/fpls.2021.699589
Pubmed ID
Authors

Cathy C. Westhues, Gregory S. Mahone, Sofia da Silva, Patrick Thorwarth, Malthe Schmidt, Jan-Christoph Richter, Henner Simianer, Timothy M. Beissinger

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Researcher 5 14%
Student > Master 5 14%
Professor > Associate Professor 2 5%
Student > Bachelor 1 3%
Other 1 3%
Unknown 15 41%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 46%
Biochemistry, Genetics and Molecular Biology 2 5%
Environmental Science 1 3%
Mathematics 1 3%
Engineering 1 3%
Other 0 0%
Unknown 15 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 December 2021.
All research outputs
#12,792,218
of 22,660,862 outputs
Outputs from Frontiers in Plant Science
#5,375
of 19,821 outputs
Outputs of similar age
#168,291
of 431,912 outputs
Outputs of similar age from Frontiers in Plant Science
#202
of 960 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,821 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 72% 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 431,912 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 60% of its contemporaries.
We're also able to compare this research output to 960 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.