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Detecting myrtle rust (Austropuccinia psidii) on lemon myrtle trees using spectral signatures and machine learning

Overview of attention for article published in Plant Pathology, February 2018
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Mentioned by

twitter
4 X users

Readers on

mendeley
101 Mendeley
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Article details
Title
Detecting myrtle rust (Austropuccinia psidii) on lemon myrtle trees using spectral signatures and machine learning
Published in
Plant Pathology, February 2018
DOI 10.1111/ppa.12830
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 13 13%
Researcher 12 12%
Student > Master 11 11%
Student > Bachelor 9 9%
Other 6 6%
Other 21 21%
Unknown 29 29%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 25 25%
Environmental Science 12 12%
Engineering 9 9%
Computer Science 5 5%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 11 11%
Unknown 35 35%
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 21 February 2018.
All research outputs
#16,122,810
of 26,851,865 outputs
Outputs from Plant Pathology
#1,382
of 2,334 outputs
Outputs of similar age
#247,437
of 460,949 outputs
Outputs of similar age from Plant Pathology
#26
of 52 outputs
Altmetric has tracked 26,851,865 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,334 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 38th percentile – i.e., 38% 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 460,949 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.