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Variance adjusted weighted UniFrac: a powerful beta diversity measure for comparing communities based on phylogeny

Overview of attention for article published in BMC Bioinformatics, April 2011
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
patent
1 patent

Citations

dimensions_citation
121 Dimensions

Readers on

mendeley
180 Mendeley
citeulike
1 CiteULike
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Title
Variance adjusted weighted UniFrac: a powerful beta diversity measure for comparing communities based on phylogeny
Published in
BMC Bioinformatics, April 2011
DOI 10.1186/1471-2105-12-118
Pubmed ID
Authors

Qin Chang, Yihui Luan, Fengzhu Sun

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 4%
Brazil 4 2%
Sweden 1 <1%
Spain 1 <1%
Mexico 1 <1%
Unknown 166 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 45 25%
Student > Ph. D. Student 36 20%
Student > Master 27 15%
Student > Bachelor 15 8%
Student > Doctoral Student 11 6%
Other 24 13%
Unknown 22 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 45%
Biochemistry, Genetics and Molecular Biology 24 13%
Environmental Science 14 8%
Immunology and Microbiology 9 5%
Engineering 6 3%
Other 18 10%
Unknown 28 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 02 November 2023.
All research outputs
#3,308,967
of 24,829,155 outputs
Outputs from BMC Bioinformatics
#1,096
of 7,593 outputs
Outputs of similar age
#14,882
of 114,880 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 67 outputs
Altmetric has tracked 24,829,155 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,593 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 85% 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 114,880 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.