| Title |
A standardized framework for representation of ancestry data in genomics studies, with application to the NHGRI-EBI GWAS Catalog
|
|---|---|
| Published in |
Genome Biology, February 2018
|
| DOI | 10.1186/s13059-018-1396-2 |
| Pubmed ID | |
| Authors |
Joannella Morales, Danielle Welter, Emily H. Bowler, Maria Cerezo, Laura W. Harris, Aoife C. McMahon, Peggy Hall, Heather A. Junkins, Annalisa Milano, Emma Hastings, Cinzia Malangone, Annalisa Buniello, Tony Burdett, Paul Flicek, Helen Parkinson, Fiona Cunningham, Lucia A. Hindorff, Jacqueline A. L. MacArthur |
X Demographics
The data shown below were collected from the profiles of 60 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 | 14 | 23% |
| United Kingdom | 12 | 20% |
| Belgium | 2 | 3% |
| Switzerland | 1 | 2% |
| Hong Kong | 1 | 2% |
| Colombia | 1 | 2% |
| Ireland | 1 | 2% |
| New Zealand | 1 | 2% |
| China | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 21 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 32 | 53% |
| Scientists | 23 | 38% |
| Science communicators (journalists, bloggers, editors) | 3 | 5% |
| Practitioners (doctors, other healthcare professionals) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 210 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 16% |
| Researcher | 30 | 14% |
| Student > Master | 24 | 11% |
| Student > Bachelor | 24 | 11% |
| Student > Postgraduate | 11 | 5% |
| Other | 30 | 14% |
| Unknown | 57 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 51 | 24% |
| Agricultural and Biological Sciences | 28 | 13% |
| Medicine and Dentistry | 27 | 13% |
| Computer Science | 7 | 3% |
| Neuroscience | 4 | 2% |
| Other | 23 | 11% |
| Unknown | 70 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 166. 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 20 February 2024.
All research outputs
#248,939
of 25,743,152 outputs
Outputs from Genome Biology
#86
of 4,510 outputs
Outputs of similar age
#6,290
of 472,863 outputs
Outputs of similar age from Genome Biology
#3
of 44 outputs
Altmetric has tracked 25,743,152 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,510 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done particularly well, scoring higher than 98% 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 472,863 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 98% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.