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Mendeley readers
Attention Score in Context
| Title |
Orthology prediction at scalable resolution by phylogenetic tree analysis
|
|---|---|
| Published in |
BMC Bioinformatics, March 2007
|
| DOI | 10.1186/1471-2105-8-83 |
| Pubmed ID | |
| Authors |
René TJM van der Heijden, Berend Snel, Vera van Noort, Martijn A Huynen |
| Abstract |
Orthology is one of the cornerstones of gene function prediction. Dividing the phylogenetic relations between genes into either orthologs or paralogs is however an oversimplification. Already in two-species gene-phylogenies, the complicated, non-transitive nature of phylogenetic relations results in inparalogs and outparalogs. For situations with more than two species we lack semantics to specifically describe the phylogenetic relations, let alone to exploit them. Published procedures to extract orthologous groups from phylogenetic trees do not allow identification of orthology at various levels of resolution, nor do they document the relations between the orthologous groups. |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 5% |
| Netherlands | 3 | 2% |
| Brazil | 2 | 1% |
| Germany | 2 | 1% |
| United Kingdom | 2 | 1% |
| Spain | 2 | 1% |
| Mexico | 1 | <1% |
| Australia | 1 | <1% |
| Luxembourg | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 128 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 28% |
| Researcher | 37 | 25% |
| Student > Master | 20 | 13% |
| Professor | 10 | 7% |
| Professor > Associate Professor | 8 | 5% |
| Other | 24 | 16% |
| Unknown | 8 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 87 | 58% |
| Biochemistry, Genetics and Molecular Biology | 26 | 17% |
| Computer Science | 12 | 8% |
| Mathematics | 3 | 2% |
| Chemistry | 2 | 1% |
| Other | 6 | 4% |
| Unknown | 13 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 October 2016.
All research outputs
#5,500,307
of 22,649,029 outputs
Outputs from BMC Bioinformatics
#1,994
of 7,234 outputs
Outputs of similar age
#22,086
of 75,965 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 37 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,234 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 71% 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 75,965 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% 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 gotten more attention than average, scoring higher than 64% of its contemporaries.