Title |
Artificial Intelligence for COVID-19 Drug Discovery and Vaccine Development
|
---|---|
Published by |
Frontiers, August 2020
|
DOI | 10.3389/frai.2020.00065 |
Pubmed ID | |
Authors |
Arash Keshavarzi Arshadi, Julia Webb, Milad Salem, Emmanuel Cruz, Stacie Calad-Thomson, Niloofar Ghadirian, Jennifer Collins, Elena Diez-Cecilia, Brendan Kelly, Hani Goodarzi, Jiann Shiun Yuan |
X Demographics
The data shown below were collected from the profiles of 196 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 | 55 | 28% |
India | 9 | 5% |
United Kingdom | 8 | 4% |
Argentina | 4 | 2% |
Spain | 2 | 1% |
Peru | 2 | 1% |
Germany | 2 | 1% |
Mexico | 2 | 1% |
Paraguay | 1 | <1% |
Other | 12 | 6% |
Unknown | 99 | 51% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 163 | 83% |
Scientists | 29 | 15% |
Science communicators (journalists, bloggers, editors) | 3 | 2% |
Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 358 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 358 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 47 | 13% |
Student > Master | 44 | 12% |
Researcher | 38 | 11% |
Student > Ph. D. Student | 31 | 9% |
Student > Doctoral Student | 15 | 4% |
Other | 41 | 11% |
Unknown | 142 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 44 | 12% |
Computer Science | 31 | 9% |
Medicine and Dentistry | 19 | 5% |
Engineering | 19 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 14 | 4% |
Other | 76 | 21% |
Unknown | 155 | 43% |