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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Applying compressed sensing to genome-wide association studies
|
|---|---|
| Published in |
Giga Science, June 2014
|
| DOI | 10.1186/2047-217x-3-10 |
| Pubmed ID | |
| Authors |
Shashaank Vattikuti, James J Lee, Christopher C Chang, Stephen D H Hsu, Carson C Chow |
X Demographics
The data shown below were collected from the profiles of 16 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 Kingdom | 3 | 19% |
| United States | 3 | 19% |
| China | 1 | 6% |
| Russia | 1 | 6% |
| Hong Kong | 1 | 6% |
| New Zealand | 1 | 6% |
| Unknown | 6 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 50% |
| Scientists | 5 | 31% |
| Science communicators (journalists, bloggers, editors) | 2 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 2 | 3% |
| United States | 2 | 3% |
| Netherlands | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 71 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 29% |
| Researcher | 20 | 26% |
| Student > Bachelor | 6 | 8% |
| Other | 6 | 8% |
| Student > Master | 6 | 8% |
| Other | 10 | 13% |
| Unknown | 7 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 30% |
| Biochemistry, Genetics and Molecular Biology | 14 | 18% |
| Computer Science | 10 | 13% |
| Engineering | 5 | 6% |
| Mathematics | 4 | 5% |
| Other | 13 | 17% |
| Unknown | 8 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 29 October 2019.
All research outputs
#1,147,029
of 25,374,917 outputs
Outputs from Giga Science
#185
of 1,168 outputs
Outputs of similar age
#10,524
of 229,451 outputs
Outputs of similar age from Giga Science
#6
of 7 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done well, scoring higher than 84% 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 229,451 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.