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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MLGO: phylogeny reconstruction and ancestral inference from gene-order data
|
|---|---|
| Published in |
BMC Bioinformatics, November 2014
|
| DOI | 10.1186/s12859-014-0354-6 |
| Pubmed ID | |
| Authors |
Fei Hu, Yu Lin, Jijun Tang |
| Abstract |
BackgroundThe rapid accumulation of whole-genome data has renewed interest in the study of using gene-order data for phylogenetic analyses and ancestral reconstruction. Current software and web servers typically do not support duplication and loss events along with rearrangements.ResultsMLGOMLGO (Maximum Likelihood for Gene-Order Analysis) is a web tool for the reconstruction of phylogeny and/or ancestral genomes from gene-order data. MLGOMLGO is based on likelihood computation and shows advantages over existing methods in terms of accuracy, scalability and flexibility.ConclusionsTo the best of our knowledge, it is the first web tool for analysis of large-scale genomic changes including not only rearrangements but also gene insertions, deletions and duplications. The web tool is available from http://www.geneorder.org/server.php. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 2% |
| Germany | 2 | 2% |
| Colombia | 1 | 1% |
| Unknown | 84 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 22% |
| Student > Ph. D. Student | 18 | 20% |
| Researcher | 16 | 18% |
| Student > Bachelor | 10 | 11% |
| Student > Doctoral Student | 3 | 3% |
| Other | 10 | 11% |
| Unknown | 12 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 44% |
| Biochemistry, Genetics and Molecular Biology | 22 | 25% |
| Computer Science | 10 | 11% |
| Environmental Science | 2 | 2% |
| Arts and Humanities | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 13 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 02 April 2020.
All research outputs
#3,574,110
of 24,266,964 outputs
Outputs from BMC Bioinformatics
#1,274
of 7,510 outputs
Outputs of similar age
#41,978
of 267,987 outputs
Outputs of similar age from BMC Bioinformatics
#29
of 142 outputs
Altmetric has tracked 24,266,964 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,510 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 82% 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 267,987 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 83% of its contemporaries.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.