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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of genome-wide association study data using the protein knowledge base
|
|---|---|
| Published in |
BMC Genomic Data, November 2011
|
| DOI | 10.1186/1471-2156-12-98 |
| Pubmed ID | |
| Authors |
Sara Ballouz, Jason Y Liu, Martin Oti, Bruno Gaeta, Diane Fatkin, Melanie Bahlo, Merridee A Wouters |
| Abstract |
Genome-wide association studies (GWAS) aim to identify causal variants and genes for complex disease by independently testing a large number of SNP markers for disease association. Although genes have been implicated in these studies, few utilise the multiple-hit model of complex disease to identify causal candidates. A major benefit of multi-locus comparison is that it compensates for some shortcomings of current statistical analyses that test the frequency of each SNP in isolation for the phenotype population versus control. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
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 % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 41 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 29% |
| Student > Ph. D. Student | 9 | 21% |
| Student > Bachelor | 6 | 14% |
| Student > Master | 5 | 12% |
| Professor > Associate Professor | 3 | 7% |
| Other | 4 | 10% |
| Unknown | 3 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 50% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Computer Science | 5 | 12% |
| Medicine and Dentistry | 4 | 10% |
| Nursing and Health Professions | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 3 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 November 2011.
All research outputs
#16,048,009
of 25,374,647 outputs
Outputs from BMC Genomic Data
#548
of 1,204 outputs
Outputs of similar age
#100,305
of 153,770 outputs
Outputs of similar age from BMC Genomic Data
#2
of 15 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% 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 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 153,770 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.