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Predicting the quality of ryegrass using hyperspectral imaging

Overview of attention for article published in Plant Methods, June 2019
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users
facebook
3 Facebook pages

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
36 Mendeley
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Title
Predicting the quality of ryegrass using hyperspectral imaging
Published in
Plant Methods, June 2019
DOI 10.1186/s13007-019-0448-2
Pubmed ID
Authors

Paul R. Shorten, Shane R. Leath, Jana Schmidt, Kioumars Ghamkhar

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 19%
Student > Ph. D. Student 7 19%
Student > Master 6 17%
Other 5 14%
Professor > Associate Professor 2 6%
Other 1 3%
Unknown 8 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 36%
Computer Science 3 8%
Engineering 3 8%
Biochemistry, Genetics and Molecular Biology 1 3%
Veterinary Science and Veterinary Medicine 1 3%
Other 4 11%
Unknown 11 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 July 2019.
All research outputs
#14,166,076
of 23,150,406 outputs
Outputs from Plant Methods
#687
of 1,096 outputs
Outputs of similar age
#186,366
of 352,687 outputs
Outputs of similar age from Plant Methods
#21
of 37 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,096 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 352,687 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.