Title |
Recovery of trait heritability from whole genome sequence data
|
---|---|
Published in |
bioRxiv, March 2019
|
DOI | 10.1101/588020 |
Authors |
Pierrick Wainschtein, Deepti Jain, Zhili Zheng, TOPMed Anthropometry Working Group, NHLBI Trans-Omics for Precision Medicine Consortium, L. Adrienne Cupples, Aladdin H. Shadyab, Barbara McKnight, Benjamin M. Shoemaker, Braxton D. Mitchell, Bruce M. Psaty, Charles Kooperberg, Ching-Ti Liu, Christine M. Albert, Dan Roden, Daniel I. Chasman, Dawood Darbar, Donald M Lloyd-Jones, Donna K. Arnett, Elizabeth A. Regan, Eric Boerwinkle, Jerome I. Rotter, Jeffrey R. O’Connell, Lisa R. Yanek, Mariza de Andrade, Matthew A. Allison, Merry-Lynn N. McDonald, Mina K Chung, Myriam Fornage, Nathalie Chami, Nicholas L. Smith, Patrick T. Ellinor, Ramachandran S. Vasan, Rasika A. Mathias, Ruth J.F. Loos, Stephen S. Rich, Steven A. Lubitz, Susan R. Heckbert, Susan Redline, Xiuqing Guo, Y.-D Ida Chen, Cecelia A. Laurie, Ryan D. Hernandez, Stephen T. McGarvey, Michael E. Goddard, Cathy C. Laurie, Kari E. North, Leslie A. Lange, Bruce S. Weir, Loic Yengo, Jian Yang, Peter M. Visscher |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 145 | 19% |
United Kingdom | 65 | 9% |
Australia | 15 | 2% |
France | 13 | 2% |
Canada | 12 | 2% |
Netherlands | 11 | 1% |
Germany | 11 | 1% |
Spain | 7 | <1% |
New Zealand | 6 | <1% |
Other | 48 | 6% |
Unknown | 426 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 369 | 49% |
Members of the public | 360 | 47% |
Practitioners (doctors, other healthcare professionals) | 17 | 2% |
Science communicators (journalists, bloggers, editors) | 12 | 2% |
Unknown | 1 | <1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 356 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 55 | 15% |
Researcher | 46 | 13% |
Student > Bachelor | 23 | 6% |
Student > Master | 20 | 6% |
Other | 15 | 4% |
Other | 36 | 10% |
Unknown | 161 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 80 | 22% |
Agricultural and Biological Sciences | 45 | 13% |
Medicine and Dentistry | 17 | 5% |
Psychology | 9 | 3% |
Computer Science | 8 | 2% |
Other | 22 | 6% |
Unknown | 175 | 49% |