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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RAxML and FastTree: Comparing Two Methods for Large-Scale Maximum Likelihood Phylogeny Estimation
|
|---|---|
| Published in |
PLOS ONE, November 2011
|
| DOI | 10.1371/journal.pone.0027731 |
| Pubmed ID | |
| Authors |
Kevin Liu, C. Randal Linder, Tandy Warnow |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 11% |
| United States | 1 | 11% |
| Unknown | 7 | 78% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 78% |
| Members of the public | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 406 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 2% |
| United Kingdom | 6 | 1% |
| Germany | 5 | 1% |
| Spain | 3 | <1% |
| Norway | 3 | <1% |
| Brazil | 3 | <1% |
| Australia | 2 | <1% |
| Belgium | 2 | <1% |
| Netherlands | 1 | <1% |
| Other | 11 | 3% |
| Unknown | 361 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 105 | 26% |
| Researcher | 93 | 23% |
| Student > Master | 60 | 15% |
| Student > Bachelor | 39 | 10% |
| Professor | 15 | 4% |
| Other | 51 | 13% |
| Unknown | 43 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 212 | 52% |
| Biochemistry, Genetics and Molecular Biology | 69 | 17% |
| Computer Science | 23 | 6% |
| Immunology and Microbiology | 15 | 4% |
| Environmental Science | 12 | 3% |
| Other | 14 | 3% |
| Unknown | 61 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 05 March 2024.
All research outputs
#3,691,291
of 26,061,338 outputs
Outputs from PLOS ONE
#47,898
of 227,371 outputs
Outputs of similar age
#27,090
of 249,394 outputs
Outputs of similar age from PLOS ONE
#443
of 2,705 outputs
Altmetric has tracked 26,061,338 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 227,371 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done well, scoring higher than 78% 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 249,394 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 2,705 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.