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QTL fine-mapping of soybean (Glycine max L.) leaf type associated traits in two RILs populations

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

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1 X user

Citations

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24 Dimensions

Readers on

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25 Mendeley
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Title
QTL fine-mapping of soybean (Glycine max L.) leaf type associated traits in two RILs populations
Published in
BMC Genomics, April 2019
DOI 10.1186/s12864-019-5610-8
Pubmed ID
Authors

Liang Wang, Yanbo Cheng, Qibin Ma, Yinghui Mu, Zhifeng Huang, Qiuju Xia, Gengyun Zhang, Hai Nian

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

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Researcher 4 16%
Professor > Associate Professor 3 12%
Student > Master 2 8%
Student > Postgraduate 2 8%
Other 1 4%
Unknown 7 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 48%
Biochemistry, Genetics and Molecular Biology 2 8%
Arts and Humanities 1 4%
Computer Science 1 4%
Psychology 1 4%
Other 0 0%
Unknown 8 32%
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 04 April 2019.
All research outputs
#18,676,383
of 23,140,503 outputs
Outputs from BMC Genomics
#8,228
of 10,710 outputs
Outputs of similar age
#265,264
of 351,417 outputs
Outputs of similar age from BMC Genomics
#150
of 206 outputs
Altmetric has tracked 23,140,503 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,710 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 351,417 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 206 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.