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Timeline
X Demographics
Mendeley readers
Title |
Phenome-wide Heritability Analysis of the UK Biobank
|
---|---|
Published in |
bioRxiv, August 2016
|
DOI | 10.1101/070177 |
Authors |
Tian Ge, Chia-Yen Chen, Benjamin M. Neale, Mert R. Sabuncu, Jordan W. Smoller |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 18 | 16% |
United Kingdom | 11 | 10% |
Spain | 8 | 7% |
Chile | 6 | 5% |
Australia | 5 | 4% |
Canada | 2 | 2% |
Sweden | 2 | 2% |
Denmark | 2 | 2% |
Germany | 1 | <1% |
Other | 8 | 7% |
Unknown | 52 | 45% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 85 | 74% |
Scientists | 24 | 21% |
Practitioners (doctors, other healthcare professionals) | 4 | 3% |
Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | 5% |
Germany | 1 | 2% |
Finland | 1 | 2% |
Canada | 1 | 2% |
United Kingdom | 1 | 2% |
United States | 1 | 2% |
Luxembourg | 1 | 2% |
Unknown | 33 | 80% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 46% |
Student > Ph. D. Student | 6 | 15% |
Professor | 4 | 10% |
Student > Master | 3 | 7% |
Other | 2 | 5% |
Other | 4 | 10% |
Unknown | 3 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 14 | 34% |
Biochemistry, Genetics and Molecular Biology | 8 | 20% |
Medicine and Dentistry | 5 | 12% |
Psychology | 3 | 7% |
Computer Science | 2 | 5% |
Other | 3 | 7% |
Unknown | 6 | 15% |