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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of disease causing loci using an array-based genotyping approach on pooled DNA
|
|---|---|
| Published in |
BMC Genomics, September 2005
|
| DOI | 10.1186/1471-2164-6-138 |
| Pubmed ID | |
| Authors |
David W Craig, Matthew J Huentelman, Diane Hu-Lince, Victoria L Zismann, Michael C Kruer, Anne M Lee, Erik G Puffenberger, John M Pearson, Dietrich A Stephan |
| Abstract |
Pooling genomic DNA samples within clinical classes of disease followed by genotyping on whole-genome SNP microarrays, allows for rapid and inexpensive genome-wide association studies. Key to the success of these studies is the accuracy of the allelic frequency calculations, the ability to identify false-positives arising from assay variability and the ability to better resolve association signals through analysis of neighbouring SNPs. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| France | 1 | 2% |
| Norway | 1 | 2% |
| Italy | 1 | 2% |
| Australia | 1 | 2% |
| Sweden | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 35 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 40% |
| Student > Ph. D. Student | 12 | 29% |
| Professor > Associate Professor | 6 | 14% |
| Student > Bachelor | 1 | 2% |
| Student > Master | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 67% |
| Medicine and Dentistry | 6 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Mathematics | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 2 | 5% |
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 05 February 2014.
All research outputs
#18,363,356
of 22,743,667 outputs
Outputs from BMC Genomics
#8,161
of 10,633 outputs
Outputs of similar age
#55,128
of 58,552 outputs
Outputs of similar age from BMC Genomics
#17
of 18 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,633 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 58,552 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.