| Title |
Genome-wide genetic data on ~500,000 UK Biobank participants
|
|---|---|
| Published in |
bioRxiv, July 2017
|
| DOI | 10.1101/166298 |
| Authors |
Clare Bycroft, Colin Freeman, Desislava Petkova, Gavin Band, Lloyd T. Elliott, Kevin Sharp, Allan Motyer, Damjan Vukcevic, Olivier Delaneau, Jared O’Connell, Adrian Cortes, Samantha Welsh, Gil McVean, Stephen Leslie, Peter Donnelly, Jonathan Marchini |
X Demographics
The data shown below were collected from the profiles of 276 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 | 65 | 24% |
| United Kingdom | 61 | 22% |
| Canada | 7 | 3% |
| France | 6 | 2% |
| Netherlands | 5 | 2% |
| Australia | 5 | 2% |
| Germany | 5 | 2% |
| Austria | 4 | 1% |
| Spain | 4 | 1% |
| Other | 28 | 10% |
| Unknown | 86 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 149 | 54% |
| Members of the public | 120 | 43% |
| Practitioners (doctors, other healthcare professionals) | 4 | 1% |
| Science communicators (journalists, bloggers, editors) | 3 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 145 | 4833% |
| Researcher | 106 | 3533% |
| Student > Master | 64 | 2133% |
| Student > Bachelor | 41 | 1367% |
| Other | 26 | 867% |
| Other | 63 | 2100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 128 | 4267% |
| Agricultural and Biological Sciences | 84 | 2800% |
| Medicine and Dentistry | 80 | 2667% |
| Computer Science | 29 | 967% |
| Psychology | 19 | 633% |
| Other | 66 | 2200% |
Attention Score in Context
This research output has an Altmetric Attention Score of 161. 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 23 June 2021.
All research outputs
#259,618
of 25,793,330 outputs
Outputs from bioRxiv
#104
of 5,332 outputs
Outputs of similar age
#5,473
of 326,087 outputs
Outputs of similar age from bioRxiv
#1
of 432 outputs
Altmetric has tracked 25,793,330 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,332 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.2. 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 326,087 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 432 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 99% of its contemporaries.