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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Critical Review on the Use of Support Values in Tree Viewers and Bioinformatics Toolkits
|
|---|---|
| Published in |
Molecular Biology and Evolution, March 2017
|
| DOI | 10.1093/molbev/msx055 |
| Pubmed ID | |
| Authors |
Lucas Czech, Jaime Huerta-Cepas, Alexandros Stamatakis |
| Abstract |
Phylogenetic trees are routinely visualized to present and interpret the evolutionary relationships of species. Most empirical evolutionary data studies contain a visualization of the inferred tree with branch support values. Ambiguous semantics in tree file formats can lead to erroneous tree visualizations and therefore to incorrect interpretations of phylogenetic analyses. Here, we discuss problems that arise when displaying branch values on trees after rerooting. Branch values are typically stored as node labels in the widely-used Newick tree format. However, such values are attributes of branches. Storing them as node labels can therefore yield errors when rerooting trees. This depends on the mostly implicit semantics that tools deploy to interpret node labels. We reviewed ten tree viewers and ten bioinformatics toolkits that can display and reroot trees. We found that 14 out of 20 of these tools do not permit users to select the semantics of node labels. Thus, unaware users might obtain incorrect results when rooting trees. We illustrate such incorrect mappings for several test cases and real examples taken from the literature. This review has already led to improvements in eight tools. We suggest tools should provide options that explicitly force users to define the semantics of node labels. |
X Demographics
The data shown below were collected from the profiles of 63 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 | 16 | 25% |
| United Kingdom | 6 | 10% |
| Germany | 3 | 5% |
| France | 2 | 3% |
| Sweden | 2 | 3% |
| Brazil | 2 | 3% |
| Netherlands | 2 | 3% |
| China | 1 | 2% |
| Australia | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 23 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 40 | 63% |
| Members of the public | 22 | 35% |
| Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Mexico | 1 | <1% |
| Russia | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 201 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 56 | 27% |
| Student > Bachelor | 34 | 16% |
| Researcher | 26 | 13% |
| Student > Master | 24 | 12% |
| Student > Doctoral Student | 9 | 4% |
| Other | 23 | 11% |
| Unknown | 35 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 90 | 43% |
| Biochemistry, Genetics and Molecular Biology | 42 | 20% |
| Environmental Science | 8 | 4% |
| Immunology and Microbiology | 6 | 3% |
| Computer Science | 5 | 2% |
| Other | 10 | 5% |
| Unknown | 46 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 19 August 2021.
All research outputs
#1,057,641
of 24,900,093 outputs
Outputs from Molecular Biology and Evolution
#446
of 5,190 outputs
Outputs of similar age
#21,516
of 314,462 outputs
Outputs of similar age from Molecular Biology and Evolution
#8
of 82 outputs
Altmetric has tracked 24,900,093 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,190 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.4. This one has done particularly well, scoring higher than 91% 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 314,462 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 93% of its contemporaries.
We're also able to compare this research output to 82 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 91% of its contemporaries.