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Multi-genotype varieties reduce rice diseases through enhanced genetic diversity and show stability and adaptability in the field

Overview of attention for article published in Phytopathology Research, December 2021
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Readers on

mendeley
7 Mendeley
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Title
Multi-genotype varieties reduce rice diseases through enhanced genetic diversity and show stability and adaptability in the field
Published in
Phytopathology Research, December 2021
DOI 10.1186/s42483-021-00105-x
Authors

Ping He, Cong Wang, Neng Zhang, Bin Liu, Yang Yang, Yifan Zhu, Xiaofang Li, Xuanli Yu, Guangyu Han, Yun-Yue Wang

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Unspecified 1 14%
Student > Doctoral Student 1 14%
Unknown 3 43%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 29%
Unspecified 1 14%
Social Sciences 1 14%
Unknown 3 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 November 2023.
All research outputs
#16,595,422
of 25,392,582 outputs
Outputs from Phytopathology Research
#56
of 151 outputs
Outputs of similar age
#281,220
of 513,747 outputs
Outputs of similar age from Phytopathology Research
#1
of 4 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 151 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 31st percentile – i.e., 31% 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 513,747 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 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