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A Robust and Rapid Candidate Gene Mapping Pipeline Based on M2 Populations

Overview of attention for article published in Frontiers in Plant Science, June 2021
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1 X user

Citations

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7 Dimensions

Readers on

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11 Mendeley
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Title
A Robust and Rapid Candidate Gene Mapping Pipeline Based on M2 Populations
Published in
Frontiers in Plant Science, June 2021
DOI 10.3389/fpls.2021.681816
Pubmed ID
Authors

Huangkai Zhou, Kuanqiang Tang, Guang Li, Wenqiang Liu, Hui Yu, Xiaohui Yuan, Suxin Yang, Madan K. Bhattacharyya, Xianzhong Feng

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 27%
Researcher 2 18%
Other 1 9%
Student > Ph. D. Student 1 9%
Unknown 4 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 55%
Biochemistry, Genetics and Molecular Biology 1 9%
Medicine and Dentistry 1 9%
Unknown 3 27%
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 02 June 2021.
All research outputs
#20,707,815
of 23,308,124 outputs
Outputs from Frontiers in Plant Science
#17,015
of 21,142 outputs
Outputs of similar age
#368,896
of 448,096 outputs
Outputs of similar age from Frontiers in Plant Science
#584
of 732 outputs
Altmetric has tracked 23,308,124 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 21,142 research outputs from this source. They receive a mean Attention Score of 3.9. 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 448,096 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 732 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.