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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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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters
facebook
3 Facebook pages

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
17 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

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 24%
Researcher 4 24%
Student > Master 3 18%
Student > Ph. D. Student 3 18%
Professor > Associate Professor 2 12%
Other 0 0%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 47%
Computer Science 1 6%
Environmental Science 1 6%
Veterinary Science and Veterinary Medicine 1 6%
Unspecified 1 6%
Other 5 29%

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
#8,856,012
of 15,456,178 outputs
Outputs from Plant Methods
#427
of 738 outputs
Outputs of similar age
#132,133
of 266,621 outputs
Outputs of similar age from Plant Methods
#1
of 1 outputs
Altmetric has tracked 15,456,178 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 738 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 40th percentile – i.e., 40% 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 266,621 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them