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The genome of Prunus mume

Overview of attention for article published in Nature Communications, December 2012
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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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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30 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

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407 Dimensions

Readers on

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254 Mendeley
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Title
The genome of Prunus mume
Published in
Nature Communications, December 2012
DOI 10.1038/ncomms2290
Pubmed ID
Authors

Qixiang Zhang, Wenbin Chen, Lidan Sun, Fangying Zhao, Bangqing Huang, Weiru Yang, Ye Tao, Jia Wang, Zhiqiong Yuan, Guangyi Fan, Zhen Xing, Changlei Han, Huitang Pan, Xiao Zhong, Wenfang Shi, Xinming Liang, Dongliang Du, Fengming Sun, Zongda Xu, Ruijie Hao, Tian Lv, Yingmin Lv, Zequn Zheng, Ming Sun, Le Luo, Ming Cai, Yike Gao, Junyi Wang, Ye Yin, Xun Xu, Tangren Cheng, Jun Wang

Abstract

Prunus mume (mei), which was domesticated in China more than 3,000 years ago as ornamental plant and fruit, is one of the first genomes among Prunus subfamilies of Rosaceae been sequenced. Here, we assemble a 280M genome by combining 101-fold next-generation sequencing and optical mapping data. We further anchor 83.9% of scaffolds to eight chromosomes with genetic map constructed by restriction-site-associated DNA sequencing. Combining P. mume genome with available data, we succeed in reconstructing nine ancestral chromosomes of Rosaceae family, as well as depicting chromosome fusion, fission and duplication history in three major subfamilies. We sequence the transcriptome of various tissues and perform genome-wide analysis to reveal the characteristics of P. mume, including its regulation of early blooming in endodormancy, immune response against bacterial infection and biosynthesis of flower scent. The P. mume genome sequence adds to our understanding of Rosaceae evolution and provides important data for improvement of fruit trees.

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 254 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 3 1%
United States 3 1%
Sweden 2 <1%
Italy 1 <1%
Norway 1 <1%
Netherlands 1 <1%
Israel 1 <1%
India 1 <1%
Canada 1 <1%
Other 5 2%
Unknown 235 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 61 24%
Student > Ph. D. Student 57 22%
Student > Master 26 10%
Student > Bachelor 17 7%
Professor > Associate Professor 16 6%
Other 38 15%
Unknown 39 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 166 65%
Biochemistry, Genetics and Molecular Biology 38 15%
Computer Science 2 <1%
Chemical Engineering 1 <1%
Linguistics 1 <1%
Other 3 1%
Unknown 43 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 05 July 2018.
All research outputs
#1,581,364
of 23,344,526 outputs
Outputs from Nature Communications
#21,271
of 48,313 outputs
Outputs of similar age
#15,182
of 283,680 outputs
Outputs of similar age from Nature Communications
#47
of 229 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 48,313 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.1. This one has gotten more attention than average, scoring higher than 55% 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 283,680 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 229 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.