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Mendeley readers
Attention Score in Context
| Title |
Accuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studies
|
|---|---|
| Published in |
BMC Genomic Data, June 2009
|
| DOI | 10.1186/1471-2156-10-27 |
| Pubmed ID | |
| Authors |
Ke Hao, Eugene Chudin, Joshua McElwee, Eric E Schadt |
| Abstract |
Although high-throughput genotyping arrays have made whole-genome association studies (WGAS) feasible, only a small proportion of SNPs in the human genome are actually surveyed in such studies. In addition, various SNP arrays assay different sets of SNPs, which leads to challenges in comparing results and merging data for meta-analyses. Genome-wide imputation of untyped markers allows us to address these issues in a direct fashion. |
Mendeley readers
The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 4% |
| Germany | 4 | 2% |
| United Kingdom | 3 | 2% |
| Uruguay | 2 | 1% |
| Netherlands | 2 | 1% |
| Italy | 1 | <1% |
| Norway | 1 | <1% |
| Colombia | 1 | <1% |
| Finland | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 166 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 50 | 26% |
| Student > Ph. D. Student | 46 | 24% |
| Professor | 20 | 11% |
| Student > Master | 16 | 8% |
| Student > Postgraduate | 13 | 7% |
| Other | 28 | 15% |
| Unknown | 17 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 108 | 57% |
| Biochemistry, Genetics and Molecular Biology | 15 | 8% |
| Medicine and Dentistry | 14 | 7% |
| Mathematics | 8 | 4% |
| Computer Science | 7 | 4% |
| Other | 15 | 8% |
| Unknown | 23 | 12% |
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 02 September 2019.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from BMC Genomic Data
#316
of 1,204 outputs
Outputs of similar age
#39,837
of 115,256 outputs
Outputs of similar age from BMC Genomic Data
#5
of 8 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 65% 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 115,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.