| Title |
An r package and online resource for macroevolutionary studies using the ray‐finned fish tree of life
|
|---|---|
| Published in |
Methods in Ecology and Evolution, April 2019
|
| DOI | 10.1111/2041-210x.13182 |
| Authors |
Jonathan Chang, Daniel L. Rabosky, Stephen A. Smith, Michael E. Alfaro |
X Demographics
The data shown below were collected from the profiles of 504 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 | 103 | 20% |
| United Kingdom | 40 | 8% |
| Canada | 33 | 7% |
| Australia | 17 | 3% |
| Spain | 17 | 3% |
| France | 14 | 3% |
| Brazil | 11 | 2% |
| Germany | 9 | 2% |
| Chile | 9 | 2% |
| Other | 75 | 15% |
| Unknown | 176 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 261 | 52% |
| Scientists | 226 | 45% |
| Science communicators (journalists, bloggers, editors) | 14 | 3% |
| Practitioners (doctors, other healthcare professionals) | 2 | <1% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 129 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 26% |
| Student > Master | 20 | 16% |
| Researcher | 18 | 14% |
| Student > Bachelor | 13 | 10% |
| Student > Doctoral Student | 8 | 6% |
| Other | 16 | 12% |
| Unknown | 21 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 58 | 45% |
| Environmental Science | 21 | 16% |
| Biochemistry, Genetics and Molecular Biology | 8 | 6% |
| Earth and Planetary Sciences | 4 | 3% |
| Unspecified | 3 | 2% |
| Other | 6 | 5% |
| Unknown | 29 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 307. 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 29 September 2020.
All research outputs
#113,954
of 25,782,229 outputs
Outputs from Methods in Ecology and Evolution
#13
of 2,464 outputs
Outputs of similar age
#2,229
of 364,512 outputs
Outputs of similar age from Methods in Ecology and Evolution
#1
of 37 outputs
Altmetric has tracked 25,782,229 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 2,464 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 364,512 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 37 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.