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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SNP imputation bias reduces effect size determination
|
|---|---|
| Published in |
Frontiers in Genetics, February 2015
|
| DOI | 10.3389/fgene.2015.00030 |
| Pubmed ID | |
| Authors |
Pouya Khankhanian, Lennox Din, Stacy J. Caillier, Pierre-Antoine Gourraud, Sergio E. Baranzini |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Germany | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Unknown | 32 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 27% |
| Student > Ph. D. Student | 6 | 18% |
| Student > Postgraduate | 4 | 12% |
| Student > Master | 4 | 12% |
| Student > Bachelor | 3 | 9% |
| Other | 3 | 9% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 42% |
| Biochemistry, Genetics and Molecular Biology | 5 | 15% |
| Medicine and Dentistry | 5 | 15% |
| Immunology and Microbiology | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 5 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 01 October 2015.
All research outputs
#2,648,927
of 22,787,797 outputs
Outputs from Frontiers in Genetics
#688
of 11,760 outputs
Outputs of similar age
#40,419
of 355,637 outputs
Outputs of similar age from Frontiers in Genetics
#23
of 145 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,760 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 94% 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 355,637 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.