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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
  • One of the highest-scoring outputs from this source (#6 of 1,464)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
4 blogs
twitter
481 tweeters
peer_reviews
1 peer review site
facebook
4 Facebook pages
wikipedia
1 Wikipedia page
googleplus
3 Google+ users

Citations

dimensions_citation
402 Dimensions

Readers on

mendeley
705 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

Twitter Demographics

The data shown below were collected from the profiles of 481 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 705 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%
Germany 3 <1%
Netherlands 3 <1%
United Kingdom 3 <1%
Canada 2 <1%
Czechia 1 <1%
China 1 <1%
Finland 1 <1%
Other 8 1%
Unknown 675 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 205 29%
Researcher 127 18%
Student > Master 121 17%
Student > Bachelor 58 8%
Unspecified 52 7%
Other 141 20%
Unknown 1 <1%
Readers by discipline Count As %
Agricultural and Biological Sciences 378 54%
Biochemistry, Genetics and Molecular Biology 114 16%
Unspecified 67 10%
Environmental Science 47 7%
Immunology and Microbiology 30 4%
Other 68 10%
Unknown 1 <1%

Attention Score in Context

This research output has an Altmetric Attention Score of 310. 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 September 2019.
All research outputs
#38,530
of 13,617,495 outputs
Outputs from Methods in Ecology and Evolution
#6
of 1,464 outputs
Outputs of similar age
#1,393
of 218,374 outputs
Outputs of similar age from Methods in Ecology and Evolution
#1
of 27 outputs
Altmetric has tracked 13,617,495 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 1,464 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.8. 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 218,374 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 27 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.