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SNP-based bulk segregant analysis revealed disease resistance QTLs associated with northern corn leaf blight in maize

Overview of attention for article published in Frontiers in Genetics, November 2022
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1 X user

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6 Mendeley
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Title
SNP-based bulk segregant analysis revealed disease resistance QTLs associated with northern corn leaf blight in maize
Published in
Frontiers in Genetics, November 2022
DOI 10.3389/fgene.2022.1038948
Pubmed ID
Authors

Ruining Zhai, Aihua Huang, Runxiu Mo, Chenglin Zou, Xinxing Wei, Meng Yang, Hua Tan, Kaijian Huang, Jie Qin

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Student > Doctoral Student 1 17%
Unknown 4 67%
Readers by discipline Count As %
Unspecified 1 17%
Agricultural and Biological Sciences 1 17%
Unknown 4 67%
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 25 November 2022.
All research outputs
#20,601,627
of 23,189,371 outputs
Outputs from Frontiers in Genetics
#8,816
of 12,221 outputs
Outputs of similar age
#347,095
of 438,980 outputs
Outputs of similar age from Frontiers in Genetics
#462
of 765 outputs
Altmetric has tracked 23,189,371 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 12,221 research outputs from this source. They receive a mean Attention Score of 3.7. 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 438,980 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 765 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.