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Identification of QTL underlying the main stem related traits in a doubled haploid barley population

Overview of attention for article published in Frontiers in Plant Science, December 2022
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Mentioned by

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4 X users

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4 Mendeley
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Title
Identification of QTL underlying the main stem related traits in a doubled haploid barley population
Published in
Frontiers in Plant Science, December 2022
DOI 10.3389/fpls.2022.1063988
Pubmed ID
Authors

Anyong Zhang, Ting Zhao, Xue Hu, Yu Zhou, Yue An, Haiyi Pei, Dongfa Sun, Genlou Sun, Chengdao Li, Xifeng Ren

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Bachelor 1 25%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 50%
Biochemistry, Genetics and Molecular Biology 1 25%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 December 2022.
All research outputs
#16,386,659
of 24,916,485 outputs
Outputs from Frontiers in Plant Science
#10,751
of 23,844 outputs
Outputs of similar age
#253,842
of 482,910 outputs
Outputs of similar age from Frontiers in Plant Science
#662
of 1,388 outputs
Altmetric has tracked 24,916,485 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,844 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 48th percentile – i.e., 48% 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 482,910 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,388 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.