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From algae to angiosperms–inferring the phylogeny of green plants (Viridiplantae) from 360 plastid genomes

Overview of attention for article published in BMC Evolutionary Biology, January 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
9 tweeters
wikipedia
21 Wikipedia pages
q&a
1 Q&A thread

Citations

dimensions_citation
368 Dimensions

Readers on

mendeley
475 Mendeley
citeulike
4 CiteULike
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Title
From algae to angiosperms–inferring the phylogeny of green plants (Viridiplantae) from 360 plastid genomes
Published in
BMC Evolutionary Biology, January 2014
DOI 10.1186/1471-2148-14-23
Pubmed ID
Authors

Brad R Ruhfel, Matthew A Gitzendanner, Pamela S Soltis, Douglas E Soltis, J Burleigh

Abstract

Next-generation sequencing has provided a wealth of plastid genome sequence data from an increasingly diverse set of green plants (Viridiplantae). Although these data have helped resolve the phylogeny of numerous clades (e.g., green algae, angiosperms, and gymnosperms), their utility for inferring relationships across all green plants is uncertain. Viridiplantae originated 700-1500 million years ago and may comprise as many as 500,000 species. This clade represents a major source of photosynthetic carbon and contains an immense diversity of life forms, including some of the smallest and largest eukaryotes. Here we explore the limits and challenges of inferring a comprehensive green plant phylogeny from available complete or nearly complete plastid genome sequence data.

Twitter Demographics

The data shown below were collected from the profiles of 9 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 475 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 8 2%
United States 5 1%
France 5 1%
Germany 3 <1%
Canada 3 <1%
New Zealand 2 <1%
Belgium 2 <1%
Switzerland 2 <1%
Finland 1 <1%
Other 8 2%
Unknown 436 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 112 24%
Researcher 77 16%
Student > Master 68 14%
Student > Bachelor 50 11%
Professor 38 8%
Other 89 19%
Unknown 41 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 304 64%
Biochemistry, Genetics and Molecular Biology 64 13%
Environmental Science 21 4%
Earth and Planetary Sciences 7 1%
Computer Science 6 1%
Other 19 4%
Unknown 54 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 04 November 2021.
All research outputs
#873,320
of 19,561,042 outputs
Outputs from BMC Evolutionary Biology
#182
of 2,848 outputs
Outputs of similar age
#10,126
of 197,307 outputs
Outputs of similar age from BMC Evolutionary Biology
#1
of 1 outputs
Altmetric has tracked 19,561,042 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,848 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 93% 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 197,307 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them