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Mendeley readers
Attention Score in Context
| Title |
Whole genome association mapping by incompatibilities and local perfect phylogenies
|
|---|---|
| Published in |
BMC Bioinformatics, October 2006
|
| DOI | 10.1186/1471-2105-7-454 |
| Pubmed ID | |
| Authors |
Thomas Mailund, Søren Besenbacher, Mikkel H Schierup |
| Abstract |
With current technology, vast amounts of data can be cheaply and efficiently produced in association studies, and to prevent data analysis to become the bottleneck of studies, fast and efficient analysis methods that scale to such data set sizes must be developed. |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Denmark | 3 | 4% |
| Germany | 2 | 2% |
| Sweden | 1 | 1% |
| Netherlands | 1 | 1% |
| Iceland | 1 | 1% |
| Unknown | 74 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 28% |
| Researcher | 22 | 26% |
| Professor > Associate Professor | 10 | 12% |
| Student > Master | 8 | 9% |
| Professor | 7 | 8% |
| Other | 7 | 8% |
| Unknown | 7 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 51% |
| Biochemistry, Genetics and Molecular Biology | 9 | 11% |
| Computer Science | 7 | 8% |
| Medicine and Dentistry | 7 | 8% |
| Mathematics | 3 | 4% |
| Other | 6 | 7% |
| Unknown | 10 | 12% |
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 30 July 2008.
All research outputs
#5,426,105
of 22,705,019 outputs
Outputs from BMC Bioinformatics
#1,947
of 7,254 outputs
Outputs of similar age
#18,537
of 66,436 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 48 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,254 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 73% 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 66,436 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 72% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.