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Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data

Overview of attention for article published in Plant Methods, January 2017
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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 (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
121 Dimensions

Readers on

mendeley
157 Mendeley
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Title
Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data
Published in
Plant Methods, January 2017
DOI 10.1186/s13007-016-0154-2
Pubmed ID
Authors

Osval A. Montesinos-López, Abelardo Montesinos-López, José Crossa, Gustavo de los Campos, Gregorio Alvarado, Mondal Suchismita, Jessica Rutkoski, Lorena González-Pérez, Juan Burgueño

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
United States 1 <1%
Unknown 155 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 18%
Researcher 21 13%
Student > Master 21 13%
Student > Doctoral Student 14 9%
Student > Bachelor 11 7%
Other 24 15%
Unknown 38 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 82 52%
Biochemistry, Genetics and Molecular Biology 8 5%
Engineering 7 4%
Computer Science 3 2%
Earth and Planetary Sciences 3 2%
Other 11 7%
Unknown 43 27%
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 27 December 2022.
All research outputs
#5,559,757
of 25,837,817 outputs
Outputs from Plant Methods
#339
of 1,284 outputs
Outputs of similar age
#101,999
of 426,505 outputs
Outputs of similar age from Plant Methods
#3
of 8 outputs
Altmetric has tracked 25,837,817 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 1,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. 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 426,505 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.