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Mendeley readers
Attention Score in Context
| Title |
Haplotype allelic classes for detecting ongoing positive selection
|
|---|---|
| Published in |
BMC Bioinformatics, January 2010
|
| DOI | 10.1186/1471-2105-11-65 |
| Pubmed ID | |
| Authors |
Julie Hussin, Philippe Nadeau, Jean-François Lefebvre, Damian Labuda |
| Abstract |
Natural selection eliminates detrimental and favors advantageous phenotypes. This process leaves characteristic signatures in underlying genomic segments that can be recognized through deviations in allelic or haplotypic frequency spectra. To provide an identifiable signature of recent positive selection that can be detected by comparison with the background distribution, we introduced a new way of looking at genomic polymorphisms: haplotype allelic classes. |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Germany | 2 | 4% |
| India | 1 | 2% |
| France | 1 | 2% |
| Unknown | 42 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 31% |
| Student > Ph. D. Student | 14 | 29% |
| Professor | 4 | 8% |
| Student > Master | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 75% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Computer Science | 2 | 4% |
| Environmental Science | 1 | 2% |
| Chemical Engineering | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 4 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 April 2016.
All research outputs
#7,451,584
of 22,780,967 outputs
Outputs from BMC Bioinformatics
#3,021
of 7,277 outputs
Outputs of similar age
#48,699
of 164,852 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 61 outputs
Altmetric has tracked 22,780,967 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,277 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 50% 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 164,852 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.