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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Treetrimmer: a method for phylogenetic dataset size reduction
|
|---|---|
| Published in |
BMC Research Notes, April 2013
|
| DOI | 10.1186/1756-0500-6-145 |
| Pubmed ID | |
| Authors |
Shinichiro Maruyama, Robert JM Eveleigh, John M Archibald |
| Abstract |
With rapid advances in genome sequencing and bioinformatics, it is now possible to generate phylogenetic trees containing thousands of operational taxonomic units (OTUs) from a wide range of organisms. However, use of rigorous tree-building methods on such large datasets is prohibitive and manual 'pruning' of sequence alignments is time consuming and raises concerns over reproducibility. There is a need for bioinformatic tools with which to objectively carry out such pruning procedures. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| United Kingdom | 2 | 4% |
| Austria | 1 | 2% |
| France | 1 | 2% |
| Uruguay | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 47 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 27% |
| Researcher | 12 | 22% |
| Student > Master | 6 | 11% |
| Student > Bachelor | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 10 | 18% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 55% |
| Computer Science | 7 | 13% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Immunology and Microbiology | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 6 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 26 April 2018.
All research outputs
#18,616,159
of 23,881,329 outputs
Outputs from BMC Research Notes
#2,884
of 4,300 outputs
Outputs of similar age
#146,776
of 201,029 outputs
Outputs of similar age from BMC Research Notes
#54
of 69 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,300 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 201,029 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.