The data shown below were collected from the profiles of 111 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Title |
Transcriptome-wide association studies: opportunities and challenges
|
---|---|
Published in |
bioRxiv, October 2017
|
DOI | 10.1101/206961 |
Authors |
Michael Wainberg, Nasa Sinnott-Armstrong, Nicholas Mancuso, Alvaro N. Barbeira, David A Knowles, David Golan, Raili Ermel, Arno Ruusalepp, Thomas Quertermous, Ke Hao, Johan LM Björkegren, Hae Kyung Im, Bogdan Pasaniuc, Manuel A Rivas, Anshul Kundaje |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 41 | 37% |
United Kingdom | 13 | 12% |
Canada | 3 | 3% |
Netherlands | 3 | 3% |
Switzerland | 2 | 2% |
France | 2 | 2% |
India | 2 | 2% |
Finland | 1 | <1% |
Denmark | 1 | <1% |
Other | 8 | 7% |
Unknown | 35 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 60 | 54% |
Members of the public | 42 | 38% |
Practitioners (doctors, other healthcare professionals) | 6 | 5% |
Science communicators (journalists, bloggers, editors) | 3 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 28% |
Researcher | 9 | 20% |
Student > Bachelor | 4 | 9% |
Student > Doctoral Student | 3 | 7% |
Student > Postgraduate | 2 | 4% |
Other | 3 | 7% |
Unknown | 12 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 16 | 35% |
Agricultural and Biological Sciences | 10 | 22% |
Neuroscience | 3 | 7% |
Computer Science | 2 | 4% |
Medicine and Dentistry | 2 | 4% |
Other | 1 | 2% |
Unknown | 12 | 26% |