↓ 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 (#3 of 1,170)
  • 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
479 tweeters
peer_reviews
1 peer review site
facebook
4 Facebook pages
wikipedia
1 Wikipedia page
googleplus
3 Google+ users

Readers on

mendeley
422 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, 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, Tommy Tsan‐Yuk Lam

Twitter Demographics

The data shown below were collected from the profiles of 479 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 422 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 1%
Brazil 5 1%
United States 4 <1%
Netherlands 3 <1%
United Kingdom 3 <1%
China 2 <1%
Canada 2 <1%
Indonesia 1 <1%
Chile 1 <1%
Other 10 2%
Unknown 386 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 136 32%
Researcher 80 19%
Student > Master 75 18%
Student > Bachelor 32 8%
Student > Doctoral Student 25 6%
Other 73 17%
Unknown 1 <1%
Readers by discipline Count As %
Agricultural and Biological Sciences 278 66%
Biochemistry, Genetics and Molecular Biology 46 11%
Environmental Science 32 8%
Unspecified 19 5%
Computer Science 10 2%
Other 36 9%
Unknown 1 <1%

Attention Score in Context

This research output has an Altmetric Attention Score of 324. 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 23 May 2018.
All research outputs
#25,362
of 11,013,271 outputs
Outputs from Methods in Ecology and Evolution
#3
of 1,170 outputs
Outputs of similar age
#1,517
of 239,112 outputs
Outputs of similar age from Methods in Ecology and Evolution
#1
of 41 outputs
Altmetric has tracked 11,013,271 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 1,170 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.0. 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 239,112 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.