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Understanding Brassicaceae evolution through ancestral genome reconstruction

Overview of attention for article published in Genome Biology, December 2015
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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 (91st percentile)
  • Average Attention Score compared to outputs of the same age and source

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21 X users
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3 Facebook pages
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1 Wikipedia page
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1 Google+ user

Citations

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89 Dimensions

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127 Mendeley
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Title
Understanding Brassicaceae evolution through ancestral genome reconstruction
Published in
Genome Biology, December 2015
DOI 10.1186/s13059-015-0814-y
Pubmed ID
Authors

Florent Murat, Alexandra Louis, Florian Maumus, Alix Armero, Richard Cooke, Hadi Quesneville, Hugues Roest Crollius, Jerome Salse

Abstract

Brassicaceae is a family of green plants of high scientific and economic interest, including thale cress (Arabidopsis thaliana), cruciferous vegetables (cabbages) and rapeseed. We reconstruct an evolutionary framework of Brassicaceae composed of high-resolution ancestral karyotypes using the genomes of modern A. thaliana, Arabidopsis lyrata, Capsella rubella, Brassica rapa and Thellungiella parvula. The ancestral Brassicaceae karyotype (Brassicaceae lineages I and II) is composed of eight protochromosomes and 20,037 ordered and oriented protogenes. After speciation, it evolved into the ancestral Camelineae karyotype (eight protochromosomes and 22,085 ordered protogenes) and the proto-Calepineae karyotype (seven protochromosomes and 21,035 ordered protogenes) genomes. The three inferred ancestral karyotype genomes are shown here to be powerful tools to unravel the reticulated evolutionary history of extant Brassicaceae genomes regarding the fate of ancestral genes and genomic compartments, particularly centromeres and evolutionary breakpoints. This new resource should accelerate research in comparative genomics and translational research by facilitating the transfer of genomic information from model systems to species of agronomic interest.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Mexico 1 <1%
Chile 1 <1%
Russia 1 <1%
Unknown 122 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 24%
Researcher 29 23%
Student > Master 11 9%
Professor 7 6%
Student > Doctoral Student 5 4%
Other 15 12%
Unknown 29 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 46%
Biochemistry, Genetics and Molecular Biology 25 20%
Computer Science 4 3%
Engineering 2 2%
Nursing and Health Professions 1 <1%
Other 5 4%
Unknown 32 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 13 March 2023.
All research outputs
#2,206,004
of 25,721,020 outputs
Outputs from Genome Biology
#1,829
of 4,507 outputs
Outputs of similar age
#35,537
of 396,861 outputs
Outputs of similar age from Genome Biology
#41
of 72 outputs
Altmetric has tracked 25,721,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,507 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has gotten more attention than average, scoring higher than 59% 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 396,861 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 91% of its contemporaries.
We're also able to compare this research output to 72 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.