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Spectral characterization and severity assessment of rice blast disease using univariate and multivariate models

Overview of attention for article published in Frontiers in Plant Science, February 2023
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2 X users

Citations

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37 Mendeley
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Title
Spectral characterization and severity assessment of rice blast disease using univariate and multivariate models
Published in
Frontiers in Plant Science, February 2023
DOI 10.3389/fpls.2023.1067189
Pubmed ID
Authors

Nandita Mandal, Sujan Adak, Deb K. Das, Rabi N. Sahoo, Joydeep Mukherjee, Andy Kumar, Viswanathan Chinnusamy, Bappa Das, Arkadeb Mukhopadhyay, Hosahatti Rajashekara, Shalini Gakhar

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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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 14%
Researcher 4 11%
Student > Postgraduate 4 11%
Student > Ph. D. Student 3 8%
Student > Master 1 3%
Other 3 8%
Unknown 17 46%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 24%
Unspecified 5 14%
Computer Science 3 8%
Biochemistry, Genetics and Molecular Biology 1 3%
Earth and Planetary Sciences 1 3%
Other 0 0%
Unknown 18 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 February 2023.
All research outputs
#18,896,869
of 23,415,749 outputs
Outputs from Frontiers in Plant Science
#14,531
of 21,366 outputs
Outputs of similar age
#220,416
of 328,630 outputs
Outputs of similar age from Frontiers in Plant Science
#725
of 1,189 outputs
Altmetric has tracked 23,415,749 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,366 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 19th percentile – i.e., 19% 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 328,630 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,189 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.