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Identification of the Genomic Region Underlying Seed Weight per Plant in Soybean (Glycine max L. Merr.) via High-Throughput Single-Nucleotide Polymorphisms and a Genome-Wide Association Study

Overview of attention for article published in Frontiers in Plant Science, October 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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9 X users

Citations

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22 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Identification of the Genomic Region Underlying Seed Weight per Plant in Soybean (Glycine max L. Merr.) via High-Throughput Single-Nucleotide Polymorphisms and a Genome-Wide Association Study
Published in
Frontiers in Plant Science, October 2018
DOI 10.3389/fpls.2018.01392
Pubmed ID
Authors

Yan Jing, Xue Zhao, Jinyang Wang, Weili Teng, Lijuan Qiu, Yingpeng Han, Wenbin Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 28%
Student > Bachelor 3 17%
Student > Master 3 17%
Student > Ph. D. Student 2 11%
Professor > Associate Professor 2 11%
Other 2 11%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 78%
Biochemistry, Genetics and Molecular Biology 2 11%
Unknown 2 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 19 November 2018.
All research outputs
#6,197,749
of 23,106,390 outputs
Outputs from Frontiers in Plant Science
#3,326
of 20,728 outputs
Outputs of similar age
#111,495
of 346,144 outputs
Outputs of similar age from Frontiers in Plant Science
#116
of 446 outputs
Altmetric has tracked 23,106,390 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 20,728 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 83% of its peers.
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 346,144 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 446 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.