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Non-destructive genotypes classification and oil content prediction using near-infrared spectroscopy and chemometric tools in soybean breeding program

Overview of attention for article published in Journal of Food Composition & Analysis, August 2020
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1 X user

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25 Mendeley
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Article details
Title
Non-destructive genotypes classification and oil content prediction using near-infrared spectroscopy and chemometric tools in soybean breeding program
Published in
Journal of Food Composition & Analysis, August 2020
DOI 10.1016/j.jfca.2020.103536
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 3 12%
Student > Master 3 12%
Student > Doctoral Student 2 8%
Professor > Associate Professor 2 8%
Other 1 4%
Other 2 8%
Unknown 12 48%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 5 20%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Economics, Econometrics and Finance 1 4%
Physics and Astronomy 1 4%
Chemistry 1 4%
Other 0 0%
Unknown 16 64%
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 07 July 2020.
All research outputs
#31,230,605
of 34,411,289 outputs
Outputs from Journal of Food Composition & Analysis
#1,637
of 1,865 outputs
Outputs of similar age
#401,676
of 455,505 outputs
Outputs of similar age from Journal of Food Composition & Analysis
#15
of 20 outputs
Altmetric has tracked 34,411,289 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,865 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one is in the 1st percentile – i.e., 1% 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 455,505 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 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.