↓ Skip to main content

In-Field Detection and Quantification of Septoria Tritici Blotch in Diverse Wheat Germplasm Using Spectral–Temporal Features

Overview of attention for article published in Frontiers in Plant Science, October 2019
Altmetric Badge

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 (78th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
14 X users

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
59 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
In-Field Detection and Quantification of Septoria Tritici Blotch in Diverse Wheat Germplasm Using Spectral–Temporal Features
Published in
Frontiers in Plant Science, October 2019
DOI 10.3389/fpls.2019.01355
Pubmed ID
Authors

Jonas Anderegg, Andreas Hund, Petteri Karisto, Alexey Mikaberidze

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 24%
Student > Master 10 17%
Researcher 7 12%
Student > Bachelor 5 8%
Student > Postgraduate 3 5%
Other 5 8%
Unknown 15 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 58%
Computer Science 2 3%
Earth and Planetary Sciences 2 3%
Engineering 2 3%
Materials Science 1 2%
Other 1 2%
Unknown 17 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 12 November 2019.
All research outputs
#3,849,243
of 23,170,347 outputs
Outputs from Frontiers in Plant Science
#1,961
of 20,871 outputs
Outputs of similar age
#78,791
of 361,448 outputs
Outputs of similar age from Frontiers in Plant Science
#67
of 502 outputs
Altmetric has tracked 23,170,347 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,871 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 90% 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 361,448 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 78% of its contemporaries.
We're also able to compare this research output to 502 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.