| 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
The data shown below were collected from the profiles of 433 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 108 | 25% |
| United Kingdom | 41 | 9% |
| Canada | 17 | 4% |
| Germany | 14 | 3% |
| Spain | 12 | 3% |
| China | 8 | 2% |
| Denmark | 8 | 2% |
| Netherlands | 7 | 2% |
| Japan | 7 | 2% |
| Other | 73 | 17% |
| Unknown | 138 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 241 | 56% |
| Members of the public | 177 | 41% |
| Science communicators (journalists, bloggers, editors) | 10 | 2% |
| Practitioners (doctors, other healthcare professionals) | 5 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,899 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 | 3 | <1% |
| China | 2 | <1% |
| Tanzania, United Republic of | 1 | <1% |
| Colombia | 1 | <1% |
| Other | 6 | <1% |
| Unknown | 1869 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 452 | 24% |
| Researcher | 280 | 15% |
| Student > Master | 267 | 14% |
| Student > Bachelor | 151 | 8% |
| Student > Doctoral Student | 108 | 6% |
| Other | 242 | 13% |
| Unknown | 399 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 689 | 36% |
| Biochemistry, Genetics and Molecular Biology | 364 | 19% |
| Immunology and Microbiology | 94 | 5% |
| Environmental Science | 87 | 5% |
| Medicine and Dentistry | 40 | 2% |
| Other | 170 | 9% |
| Unknown | 455 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 291. 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
#122,883
of 25,748,735 outputs
Outputs from Methods in Ecology and Evolution
#14
of 2,463 outputs
Outputs of similar age
#2,515
of 329,816 outputs
Outputs of similar age from Methods in Ecology and Evolution
#1
of 40 outputs
Altmetric has tracked 25,748,735 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 2,463 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.2. 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 329,816 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.