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Comprehensive transcriptional variability analysis reveals gene networks regulating seed oil content of Brassica napus

Overview of attention for article published in Genome Biology, November 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
7 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Comprehensive transcriptional variability analysis reveals gene networks regulating seed oil content of Brassica napus
Published in
Genome Biology, November 2022
DOI 10.1186/s13059-022-02801-z
Pubmed ID
Authors

Zengdong Tan, Yan Peng, Yao Xiong, Feng Xiong, Yuting Zhang, Ning Guo, Zhuo Tu, Zhanxiang Zong, Xiaokun Wu, Jiang Ye, Chunjiao Xia, Tao Zhu, Yinmeng Liu, Hongxiang Lou, Dongxu Liu, Shaoping Lu, Xuan Yao, Kede Liu, Rod J. Snowdon, Agnieszka A. Golicz, Weibo Xie, Liang Guo, Hu Zhao

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 17%
Researcher 3 17%
Student > Doctoral Student 2 11%
Student > Ph. D. Student 1 6%
Unspecified 1 6%
Other 1 6%
Unknown 7 39%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 33%
Biochemistry, Genetics and Molecular Biology 3 17%
Computer Science 1 6%
Unspecified 1 6%
Unknown 7 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 20 November 2023.
All research outputs
#2,564,612
of 25,392,582 outputs
Outputs from Genome Biology
#2,053
of 4,470 outputs
Outputs of similar age
#52,758
of 440,986 outputs
Outputs of similar age from Genome Biology
#37
of 65 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 440,986 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.