↓ 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, August 2016
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 961)
  • 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
4 blogs
twitter
466 tweeters
peer_reviews
1 peer review site
facebook
4 Facebook pages
googleplus
3 Google+ users

Readers on

mendeley
219 Mendeley
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, August 2016
DOI 10.1111/2041-210x.12628
Authors

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

Twitter Demographics

The data shown below were collected from the profiles of 466 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Brazil 3 1%
United Kingdom 3 1%
Indonesia 1 <1%
Mexico 1 <1%
Denmark 1 <1%
Finland 1 <1%
China 1 <1%
Netherlands 1 <1%
Other 4 2%
Unknown 198 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 76 35%
Student > Master 44 20%
Researcher 40 18%
Student > Doctoral Student 16 7%
Student > Bachelor 14 6%
Other 29 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 166 76%
Biochemistry, Genetics and Molecular Biology 16 7%
Environmental Science 15 7%
Computer Science 4 2%
Immunology and Microbiology 4 2%
Other 14 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 347. 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 28 May 2017.
All research outputs
#14,102
of 7,821,773 outputs
Outputs from Methods in Ecology and Evolution
#2
of 961 outputs
Outputs of similar age
#1,291
of 230,083 outputs
Outputs of similar age from Methods in Ecology and Evolution
#1
of 41 outputs
Altmetric has tracked 7,821,773 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 961 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. 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 230,083 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 41 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.