Title |
Genome-wide identification of the genetic basis of amyotrophic lateral sclerosis
|
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Published in |
Neuron, January 2022
|
DOI | 10.1016/j.neuron.2021.12.019 |
Pubmed ID | |
Authors |
Sai Zhang, Johnathan Cooper-Knock, Annika K. Weimer, Minyi Shi, Tobias Moll, Jack N.G. Marshall, Calum Harvey, Helia Ghahremani Nezhad, John Franklin, Cleide dos Santos Souza, Ke Ning, Cheng Wang, Jingjing Li, Allison A. Dilliott, Sali Farhan, Eran Elhaik, Iris Pasniceanu, Matthew R. Livesey, Chen Eitan, Eran Hornstein, Kevin P. Kenna, Project MinE ALS Sequencing Consortium, Ian Blair, Naomi R. Wray, Matthew Kiernan, Miguel Mitne Neto, Adriano Chio, Ruben Cauchi, Wim Robberecht, Philip van Damme, Philippe Corcia, Philippe Couratier, Orla Hardiman, Russell McLaughin, Marc Gotkine, Vivian Drory, Nicola Ticozzi, Vincenzo Silani, Jan H. Veldink, Leonard H. van den Berg, Mamede de Carvalho, Jesus S. Mora Pardina, Monica Povedano, Peter Andersen, Markus Weber, Nazli A. Başak, Ammar Al-Chalabi, Chris Shaw, Pamela J. Shaw, Karen E. Morrison, John E. Landers, Jonathan D. Glass, Jan H. Veldink, Laura Ferraiuolo, Pamela J. Shaw, Michael P. Snyder |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 37 | 21% |
United Kingdom | 24 | 13% |
France | 9 | 5% |
Canada | 5 | 3% |
India | 4 | 2% |
Germany | 3 | 2% |
Spain | 3 | 2% |
Japan | 2 | 1% |
Ireland | 2 | 1% |
Other | 17 | 10% |
Unknown | 72 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 134 | 75% |
Scientists | 36 | 20% |
Practitioners (doctors, other healthcare professionals) | 5 | 3% |
Science communicators (journalists, bloggers, editors) | 3 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 210 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 38 | 18% |
Student > Ph. D. Student | 28 | 13% |
Other | 15 | 7% |
Student > Master | 15 | 7% |
Student > Bachelor | 10 | 5% |
Other | 24 | 11% |
Unknown | 80 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 41 | 20% |
Neuroscience | 27 | 13% |
Medicine and Dentistry | 14 | 7% |
Agricultural and Biological Sciences | 12 | 6% |
Computer Science | 7 | 3% |
Other | 20 | 10% |
Unknown | 89 | 42% |