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A fungal phylogeny based on 82 complete genomes using the composition vector method

Overview of attention for article published in BMC Ecology and Evolution, August 2009
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
1 X user
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
169 Dimensions

Readers on

mendeley
278 Mendeley
citeulike
7 CiteULike
connotea
1 Connotea
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Title
A fungal phylogeny based on 82 complete genomes using the composition vector method
Published in
BMC Ecology and Evolution, August 2009
DOI 10.1186/1471-2148-9-195
Pubmed ID
Authors

Hao Wang, Zhao Xu, Lei Gao, Bailin Hao

Abstract

Molecular phylogenetics and phylogenomics have greatly revised and enriched the fungal systematics in the last two decades. Most of the analyses have been performed by comparing single or multiple orthologous gene regions. Sequence alignment has always been an essential element in tree construction. These alignment-based methods (to be called the standard methods hereafter) need independent verification in order to put the fungal Tree of Life (TOL) on a secure footing. The ever-increasing number of sequenced fungal genomes and the recent success of our newly proposed alignment-free composition vector tree (CVTree, see Methods) approach have made the verification feasible.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 278 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 4%
Germany 7 3%
United Kingdom 4 1%
Netherlands 2 <1%
Mexico 2 <1%
Spain 2 <1%
South Africa 1 <1%
Sweden 1 <1%
Brazil 1 <1%
Other 8 3%
Unknown 240 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 78 28%
Student > Ph. D. Student 59 21%
Student > Master 35 13%
Professor > Associate Professor 18 6%
Student > Bachelor 18 6%
Other 49 18%
Unknown 21 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 166 60%
Biochemistry, Genetics and Molecular Biology 42 15%
Computer Science 12 4%
Medicine and Dentistry 6 2%
Environmental Science 5 2%
Other 12 4%
Unknown 35 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 May 2016.
All research outputs
#8,262,193
of 26,017,215 outputs
Outputs from BMC Ecology and Evolution
#1,915
of 3,772 outputs
Outputs of similar age
#41,883
of 128,214 outputs
Outputs of similar age from BMC Ecology and Evolution
#19
of 44 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,772 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one is in the 47th percentile – i.e., 47% 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 128,214 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.