↓ Skip to main content

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
Altmetric Badge

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 2,435)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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

Citations

dimensions_citation
3154 Dimensions

Readers on

mendeley
1857 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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 441 X users 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 1,857 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
Brazil 4 <1%
Netherlands 3 <1%
Germany 3 <1%
United Kingdom 3 <1%
Canada 3 <1%
China 2 <1%
Chile 1 <1%
Colombia 1 <1%
Other 7 <1%
Unknown 1826 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 448 24%
Researcher 278 15%
Student > Master 259 14%
Student > Bachelor 150 8%
Student > Doctoral Student 106 6%
Other 248 13%
Unknown 368 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 681 37%
Biochemistry, Genetics and Molecular Biology 359 19%
Immunology and Microbiology 93 5%
Environmental Science 84 5%
Medicine and Dentistry 37 2%
Other 178 10%
Unknown 425 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 296. 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 08 November 2022.
All research outputs
#117,449
of 25,390,692 outputs
Outputs from Methods in Ecology and Evolution
#14
of 2,435 outputs
Outputs of similar age
#2,431
of 329,892 outputs
Outputs of similar age from Methods in Ecology and Evolution
#1
of 40 outputs
Altmetric has tracked 25,390,692 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 2,435 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 329,892 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 99% of its contemporaries.