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The SplitsTree App: interactive analysis and visualization using phylogenetic trees and networks

Overview of attention for article published in Nature Methods, September 2024
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
279 X users

Readers on

mendeley
13 Mendeley
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Title
The SplitsTree App: interactive analysis and visualization using phylogenetic trees and networks
Published in
Nature Methods, September 2024
DOI 10.1038/s41592-024-02406-3
Pubmed ID
Authors

Daniel H. Huson, David Bryant

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 279 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Professor 2 15%
Student > Ph. D. Student 1 8%
Lecturer > Senior Lecturer 1 8%
Unspecified 1 8%
Other 3 23%
Unknown 1 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 46%
Biochemistry, Genetics and Molecular Biology 2 15%
Social Sciences 1 8%
Medicine and Dentistry 1 8%
Unknown 3 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 152. 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 12 September 2024.
All research outputs
#292,171
of 26,736,789 outputs
Outputs from Nature Methods
#282
of 5,600 outputs
Outputs of similar age
#2,666
of 233,978 outputs
Outputs of similar age from Nature Methods
#3
of 88 outputs
Altmetric has tracked 26,736,789 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,600 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.0. This one has done particularly well, scoring higher than 94% 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 233,978 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 98% of its contemporaries.
We're also able to compare this research output to 88 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 96% of its contemporaries.