↓ Skip to main content

The “fossilized” mitochondrial genome of Liriodendron tulipifera: ancestral gene content and order, ancestral editing sites, and extraordinarily low mutation rate

Overview of attention for article published in BMC Biology, April 2013
Altmetric Badge

Mentioned by

news
4 news outlets
twitter
10 X users
facebook
1 Facebook page
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
205 Dimensions

Readers on

mendeley
107 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The “fossilized” mitochondrial genome of Liriodendron tulipifera: ancestral gene content and order, ancestral editing sites, and extraordinarily low mutation rate
Published in
BMC Biology, April 2013
DOI 10.1186/1741-7007-11-29
Pubmed ID
Authors

Aaron O Richardson, Danny W Rice, Gregory J Young, Andrew J Alverson, Jeffrey D Palmer

Abstract

The mitochondrial genomes of flowering plants vary greatly in size, gene content, gene order, mutation rate and level of RNA editing. However, the narrow phylogenetic breadth of available genomic data has limited our ability to reconstruct these traits in the ancestral flowering plant and, therefore, to infer subsequent patterns of evolution across angiosperms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Germany 1 <1%
Switzerland 1 <1%
India 1 <1%
Brazil 1 <1%
China 1 <1%
New Zealand 1 <1%
Unknown 99 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 22%
Researcher 22 21%
Student > Master 11 10%
Student > Bachelor 8 7%
Student > Doctoral Student 7 7%
Other 16 15%
Unknown 19 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 50%
Biochemistry, Genetics and Molecular Biology 19 18%
Environmental Science 4 4%
Computer Science 2 2%
Engineering 2 2%
Other 4 4%
Unknown 23 21%