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A statistical model for determining zearalenone contamination in rice (Oryza sativa L.) at harvest and its prediction under different climate change scenarios in South Korea

Overview of attention for article published in Applied Biological Chemistry, July 2019
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2 X users

Citations

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10 Mendeley
Title
A statistical model for determining zearalenone contamination in rice (Oryza sativa L.) at harvest and its prediction under different climate change scenarios in South Korea
Published in
Applied Biological Chemistry, July 2019
DOI 10.1186/s13765-019-0447-z
Authors

Yongsung Joo, Hyun Ee Ok, Jihyun Kim, Sang Yoo Lee, Su Kyung Jang, Ki Hwan Park, Hyang Sook Chun

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Student > Master 2 20%
Professor 1 10%
Student > Doctoral Student 1 10%
Student > Bachelor 1 10%
Other 1 10%
Unknown 2 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 40%
Nursing and Health Professions 1 10%
Earth and Planetary Sciences 1 10%
Social Sciences 1 10%
Unknown 3 30%
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 August 2019.
All research outputs
#19,516,978
of 23,999,200 outputs
Outputs from Applied Biological Chemistry
#67
of 72 outputs
Outputs of similar age
#262,123
of 349,482 outputs
Outputs of similar age from Applied Biological Chemistry
#1
of 1 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 72 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 5th percentile – i.e., 5% 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 349,482 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them