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Previsual and Early Detection of Myrtle Rust on Rose Apple Using Indices Derived from Thermal Imagery and Visible-to-Short-Infrared Spectroscopy.

Overview of attention for article published in Phytopathology, October 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#34 of 2,967)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
6 news outlets
twitter
10 X users

Readers on

mendeley
12 Mendeley
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Title
Previsual and Early Detection of Myrtle Rust on Rose Apple Using Indices Derived from Thermal Imagery and Visible-to-Short-Infrared Spectroscopy.
Published in
Phytopathology, October 2023
DOI 10.1094/phyto-02-23-0078-r
Pubmed ID
Authors

Michael S Watt, Michael Bartlett, Julia Soewarto, Dilshan de Silva, Honey Jane C Estarija, Peter Massam, David Cajes, Warren Yorston, Elizaveta Graevskaya, Kiryn Dobbie, Stuart Fraser, Heidi S Dungey, Henning Buddenbaum

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Researcher 3 25%
Student > Bachelor 1 8%
Student > Doctoral Student 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 3 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 50%
Environmental Science 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Medicine and Dentistry 1 8%
Unknown 3 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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 28 October 2023.
All research outputs
#807,728
of 24,698,221 outputs
Outputs from Phytopathology
#34
of 2,967 outputs
Outputs of similar age
#9,230
of 244,709 outputs
Outputs of similar age from Phytopathology
#2
of 44 outputs
Altmetric has tracked 24,698,221 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,967 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 98% 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 244,709 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.