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QTL identification for seed weight and size based on a high-density SLAF-seq genetic map in peanut (Arachis hypogaea L.)

Overview of attention for article published in BMC Plant Biology, December 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user

Citations

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61 Dimensions

Readers on

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37 Mendeley
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Title
QTL identification for seed weight and size based on a high-density SLAF-seq genetic map in peanut (Arachis hypogaea L.)
Published in
BMC Plant Biology, December 2019
DOI 10.1186/s12870-019-2164-5
Pubmed ID
Authors

Shengzhong Zhang, Xiaohui Hu, Huarong Miao, Ye Chu, Fenggao Cui, Weiqiang Yang, Chunming Wang, Yi Shen, Tingting Xu, Libo Zhao, Jiancheng Zhang, Jing Chen

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

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Master 4 11%
Student > Bachelor 3 8%
Student > Doctoral Student 2 5%
Student > Postgraduate 2 5%
Other 4 11%
Unknown 14 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 38%
Biochemistry, Genetics and Molecular Biology 3 8%
Business, Management and Accounting 1 3%
Social Sciences 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 16 43%
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 08 December 2019.
All research outputs
#15,591,755
of 23,179,757 outputs
Outputs from BMC Plant Biology
#1,496
of 3,296 outputs
Outputs of similar age
#276,396
of 459,136 outputs
Outputs of similar age from BMC Plant Biology
#58
of 130 outputs
Altmetric has tracked 23,179,757 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,296 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 42nd percentile – i.e., 42% 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 459,136 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 130 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.