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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Low coverage whole genome sequencing enables accurate assessment of common variants and calculation of genome-wide polygenic scores
|
|---|---|
| Published in |
Genome Medicine, November 2019
|
| DOI | 10.1186/s13073-019-0682-2 |
| Pubmed ID | |
| Authors |
Julian R. Homburger, Cynthia L. Neben, Gilad Mishne, Alicia Y. Zhou, Sekar Kathiresan, Amit V. Khera |
X Demographics
The data shown below were collected from the profiles of 41 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 | 18 | 44% |
| United Kingdom | 6 | 15% |
| Spain | 2 | 5% |
| Switzerland | 1 | 2% |
| Netherlands | 1 | 2% |
| Argentina | 1 | 2% |
| Ireland | 1 | 2% |
| France | 1 | 2% |
| India | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 8 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 20 | 49% |
| Members of the public | 18 | 44% |
| Practitioners (doctors, other healthcare professionals) | 2 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 183 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 19% |
| Student > Ph. D. Student | 25 | 14% |
| Student > Master | 19 | 10% |
| Student > Bachelor | 16 | 9% |
| Other | 8 | 4% |
| Other | 24 | 13% |
| Unknown | 56 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 47 | 26% |
| Agricultural and Biological Sciences | 35 | 19% |
| Medicine and Dentistry | 16 | 9% |
| Computer Science | 4 | 2% |
| Immunology and Microbiology | 3 | 2% |
| Other | 16 | 9% |
| Unknown | 62 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 January 2023.
All research outputs
#1,474,801
of 25,766,791 outputs
Outputs from Genome Medicine
#313
of 1,612 outputs
Outputs of similar age
#34,917
of 480,335 outputs
Outputs of similar age from Genome Medicine
#11
of 34 outputs
Altmetric has tracked 25,766,791 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has done well, scoring higher than 80% 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 480,335 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 92% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.