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RAD-seq as an effective strategy for heterogenous variety identification in plants—a case study in Italian Ryegrass (Lolium multiflorum)

Overview of attention for article published in BMC Plant Biology, May 2022
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Mentioned by

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1 X user

Citations

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9 Dimensions

Readers on

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6 Mendeley
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Title
RAD-seq as an effective strategy for heterogenous variety identification in plants—a case study in Italian Ryegrass (Lolium multiflorum)
Published in
BMC Plant Biology, May 2022
DOI 10.1186/s12870-022-03617-6
Pubmed ID
Authors

Qingqing Yu, Yao Ling, Yanli Xiong, Wenda Zhao, Yi Xiong, Zhixiao Dong, Jian Yang, Junming Zhao, Xinquan Zhang, Xiao Ma

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor > Associate Professor 1 17%
Other 1 17%
Unknown 2 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 33%
Biochemistry, Genetics and Molecular Biology 1 17%
Unknown 3 50%
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 06 May 2022.
All research outputs
#18,810,584
of 23,312,088 outputs
Outputs from BMC Plant Biology
#2,126
of 3,315 outputs
Outputs of similar age
#317,118
of 442,988 outputs
Outputs of similar age from BMC Plant Biology
#77
of 108 outputs
Altmetric has tracked 23,312,088 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 3,315 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 23rd percentile – i.e., 23% 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 442,988 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.