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Identification of genetic loci and candidate genes related to soybean flowering through genome wide association study

Overview of attention for article published in BMC Genomics, December 2019
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Mentioned by

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1 X user

Citations

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15 Dimensions

Readers on

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36 Mendeley
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Title
Identification of genetic loci and candidate genes related to soybean flowering through genome wide association study
Published in
BMC Genomics, December 2019
DOI 10.1186/s12864-019-6324-7
Pubmed ID
Authors

Minmin Li, Ying Liu, Yahan Tao, Chongjing Xu, Xin Li, Xiaoming Zhang, Yingpeng Han, Xue Yang, Jingzhe Sun, Wenbin Li, Dongmei Li, Xue Zhao, Lin Zhao

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

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 17%
Researcher 5 14%
Student > Ph. D. Student 4 11%
Student > Doctoral Student 3 8%
Student > Bachelor 2 6%
Other 1 3%
Unknown 15 42%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 47%
Biochemistry, Genetics and Molecular Biology 3 8%
Medicine and Dentistry 2 6%
Unknown 14 39%
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 18 December 2019.
All research outputs
#20,595,624
of 23,182,015 outputs
Outputs from BMC Genomics
#9,327
of 10,719 outputs
Outputs of similar age
#383,744
of 458,899 outputs
Outputs of similar age from BMC Genomics
#208
of 264 outputs
Altmetric has tracked 23,182,015 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 10,719 research outputs from this source. They receive a mean Attention Score of 4.7. 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 458,899 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 264 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.