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ggtree: an r package for visualization and annotation of phylogenetic trees with their covariates and other associated data

Overview of attention for article published in Methods in Ecology and Evolution, September 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 2,511)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
7 blogs
policy
3 policy sources
twitter
432 X users
patent
2 patents
peer_reviews
1 peer review site
facebook
4 Facebook pages
wikipedia
1 Wikipedia page
googleplus
3 Google+ users

Citations

dimensions_citation
3508 Dimensions

Readers on

mendeley
1956 Mendeley
citeulike
1 CiteULike
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Title
ggtree: an r package for visualization and annotation of phylogenetic trees with their covariates and other associated data
Published in
Methods in Ecology and Evolution, September 2016
DOI 10.1111/2041-210x.12628
Authors

Guangchuang Yu, David K. Smith, Huachen Zhu, Yi Guan, Tommy Tsan‐Yuk Lam

X Demographics

X Demographics

The data shown below were collected from the profiles of 432 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 1,956 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 <1%
United States 4 <1%
Germany 3 <1%
Netherlands 3 <1%
Canada 3 <1%
United Kingdom 3 <1%
China 2 <1%
Chile 1 <1%
Finland 1 <1%
Other 5 <1%
Unknown 1927 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 460 24%
Researcher 289 15%
Student > Master 271 14%
Student > Bachelor 156 8%
Student > Doctoral Student 110 6%
Other 249 13%
Unknown 421 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 699 36%
Biochemistry, Genetics and Molecular Biology 375 19%
Immunology and Microbiology 95 5%
Environmental Science 89 5%
Medicine and Dentistry 41 2%
Other 178 9%
Unknown 479 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 306. 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 20 June 2024.
All research outputs
#118,509
of 26,388,114 outputs
Outputs from Methods in Ecology and Evolution
#14
of 2,511 outputs
Outputs of similar age
#2,360
of 332,223 outputs
Outputs of similar age from Methods in Ecology and Evolution
#1
of 40 outputs
Altmetric has tracked 26,388,114 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,511 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.1. This one has done particularly well, scoring higher than 99% 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 332,223 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 99% of its contemporaries.
We're also able to compare this research output to 40 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 97% of its contemporaries.