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Combining QTL mapping and gene co-expression network analysis for prediction of candidate genes and molecular network related to yield in wheat

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

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2 X users

Citations

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10 Dimensions

Readers on

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24 Mendeley
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Title
Combining QTL mapping and gene co-expression network analysis for prediction of candidate genes and molecular network related to yield in wheat
Published in
BMC Plant Biology, June 2022
DOI 10.1186/s12870-022-03677-8
Pubmed ID
Authors

Jun Wei, Yu Fang, Hao Jiang, Xing-ting Wu, Jing-hong Zuo, Xian-chun Xia, Jin-quan Li, Benjamin Stich, Hong Cao, Yong-xiu Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 29%
Researcher 3 13%
Student > Doctoral Student 2 8%
Student > Master 2 8%
Professor 1 4%
Other 1 4%
Unknown 8 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 50%
Biochemistry, Genetics and Molecular Biology 1 4%
Computer Science 1 4%
Engineering 1 4%
Unknown 9 38%
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 19 June 2022.
All research outputs
#18,336,865
of 22,707,247 outputs
Outputs from BMC Plant Biology
#2,068
of 3,214 outputs
Outputs of similar age
#309,723
of 438,143 outputs
Outputs of similar age from BMC Plant Biology
#68
of 92 outputs
Altmetric has tracked 22,707,247 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 3,214 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 22nd percentile – i.e., 22% 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 438,143 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.