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X Demographics
Mendeley readers
Attention Score in Context
| Title |
QuartetS-DB: a large-scale orthology database for prokaryotes and eukaryotes inferred by evolutionary evidence
|
|---|---|
| Published in |
BMC Bioinformatics, June 2012
|
| DOI | 10.1186/1471-2105-13-143 |
| Pubmed ID | |
| Authors |
Chenggang Yu, Valmik Desai, Li Cheng, Jaques Reifman |
| Abstract |
The concept of orthology is key to decoding evolutionary relationships among genes across different species using comparative genomics. QuartetS is a recently reported algorithm for large-scale orthology detection. Based on the well-established evolutionary principle that gene duplication events discriminate paralogous from orthologous genes, QuartetS has been shown to improve orthology detection accuracy while maintaining computational efficiency. |
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 % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 9% |
| Brazil | 2 | 4% |
| Netherlands | 1 | 2% |
| United Kingdom | 1 | 2% |
| Sweden | 1 | 2% |
| Japan | 1 | 2% |
| Mexico | 1 | 2% |
| Unknown | 34 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 36% |
| Student > Ph. D. Student | 9 | 20% |
| Professor | 5 | 11% |
| Professor > Associate Professor | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Other | 6 | 13% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 62% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Computer Science | 3 | 7% |
| Social Sciences | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 5 | 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 June 2012.
All research outputs
#16,473,064
of 24,241,559 outputs
Outputs from BMC Bioinformatics
#5,521
of 7,506 outputs
Outputs of similar age
#108,274
of 167,127 outputs
Outputs of similar age from BMC Bioinformatics
#70
of 101 outputs
Altmetric has tracked 24,241,559 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,506 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 18th percentile – i.e., 18% 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 167,127 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.