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Mendeley readers
Attention Score in Context
| Title |
ProbABEL package for genome-wide association analysis of imputed data
|
|---|---|
| Published in |
BMC Bioinformatics, March 2010
|
| DOI | 10.1186/1471-2105-11-134 |
| Pubmed ID | |
| Authors |
Yurii S Aulchenko, Maksim V Struchalin, Cornelia M van Duijn |
| Abstract |
Over the last few years, genome-wide association (GWA) studies became a tool of choice for the identification of loci associated with complex traits. Currently, imputed single nucleotide polymorphisms (SNP) data are frequently used in GWA analyzes. Correct analysis of imputed data calls for the implementation of specific methods which take genotype imputation uncertainty into account. |
Mendeley readers
The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| United States | 2 | 1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| Finland | 1 | <1% |
| Colombia | 1 | <1% |
| New Zealand | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 180 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 67 | 35% |
| Student > Ph. D. Student | 48 | 25% |
| Student > Master | 13 | 7% |
| Student > Bachelor | 10 | 5% |
| Professor | 10 | 5% |
| Other | 32 | 17% |
| Unknown | 11 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 73 | 38% |
| Biochemistry, Genetics and Molecular Biology | 34 | 18% |
| Medicine and Dentistry | 33 | 17% |
| Computer Science | 7 | 4% |
| Mathematics | 5 | 3% |
| Other | 19 | 10% |
| Unknown | 20 | 10% |
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 06 April 2010.
All research outputs
#5,718,233
of 22,709,015 outputs
Outputs from BMC Bioinformatics
#2,139
of 7,256 outputs
Outputs of similar age
#27,734
of 94,147 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 62 outputs
Altmetric has tracked 22,709,015 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,256 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 70% 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 94,147 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 69% of its contemporaries.
We're also able to compare this research output to 62 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 69% of its contemporaries.