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The Tetracentron genome provides insight into the early evolution of eudicots and the formation of vessel elements

Overview of attention for article published in Genome Biology (Online Edition), December 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

twitter
17 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
36 Mendeley
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Title
The Tetracentron genome provides insight into the early evolution of eudicots and the formation of vessel elements
Published in
Genome Biology (Online Edition), December 2020
DOI 10.1186/s13059-020-02198-7
Pubmed ID
Authors

Ping-Li Liu, Xi Zhang, Jian-Feng Mao, Yan-Ming Hong, Ren-Gang Zhang, Yilan E, Shuai Nie, Kaihua Jia, Chen-Kun Jiang, Jian He, Weiwei Shen, Qizouhong He, Wenqing Zheng, Samar Abbas, Pawan Kumar Jewaria, Xuechan Tian, Chang-jun Liu, Xiaomei Jiang, Yafang Yin, Bo Liu, Li Wang, Biao Jin, Yongpeng Ma, Zongbo Qiu, František Baluška, Jozef Šamaj, Xinqiang He, Shihui Niu, Jianbo Xie, Lei Xie, Huimin Xu, Hongzhi Kong, Song Ge, Richard A. Dixon, Yuannian Jiao, Jinxing Lin

Twitter Demographics

The data shown below were collected from the profiles of 17 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 25%
Student > Ph. D. Student 3 8%
Student > Postgraduate 3 8%
Student > Master 3 8%
Student > Bachelor 1 3%
Other 2 6%
Unknown 15 42%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 22%
Biochemistry, Genetics and Molecular Biology 7 19%
Computer Science 2 6%
Social Sciences 2 6%
Economics, Econometrics and Finance 1 3%
Other 1 3%
Unknown 15 42%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 16 December 2020.
All research outputs
#3,427,549
of 19,770,032 outputs
Outputs from Genome Biology (Online Edition)
#2,304
of 3,866 outputs
Outputs of similar age
#112,119
of 476,246 outputs
Outputs of similar age from Genome Biology (Online Edition)
#251
of 300 outputs
Altmetric has tracked 19,770,032 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,866 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one is in the 40th percentile – i.e., 40% 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 476,246 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 76% of its contemporaries.
We're also able to compare this research output to 300 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.