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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The admixture maximum likelihood test to test for association between rare variants and disease phenotypes
|
|---|---|
| Published in |
BMC Bioinformatics, June 2013
|
| DOI | 10.1186/1471-2105-14-177 |
| Pubmed ID | |
| Authors |
Jonathan P Tyrer, Qi Guo, Douglas F Easton, Paul DP Pharoah |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| United States | 1 | 4% |
| Belgium | 1 | 4% |
| Unknown | 20 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 52% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Master | 2 | 9% |
| Student > Doctoral Student | 1 | 4% |
| Professor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 35% |
| Biochemistry, Genetics and Molecular Biology | 5 | 22% |
| Computer Science | 3 | 13% |
| Nursing and Health Professions | 1 | 4% |
| Mathematics | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 4 | 17% |
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 06 June 2013.
All research outputs
#20,567,353
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#6,411
of 7,793 outputs
Outputs of similar age
#158,228
of 214,264 outputs
Outputs of similar age from BMC Bioinformatics
#88
of 109 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 214,264 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.