| Chapter title |
COVID-19 Therapy Target Discovery with Context-Aware Literature Mining
|
|---|---|
| Chapter number | 8 |
| Book title |
Discovery Science
|
| Published by |
Springer, Cham, October 2020
|
| DOI | 10.1007/978-3-030-61527-7_8 |
| Book ISBNs |
978-3-03-061526-0, 978-3-03-061527-7
|
| Authors |
Matej Martinc, Blaž Škrlj, Sergej Pirkmajer, Nada Lavrač, Bojan Cestnik, Martin Marzidovšek, Senja Pollak, Martinc, Matej, Škrlj, Blaž, Pirkmajer, Sergej, Lavrač, Nada, Cestnik, Bojan, Marzidovšek, Martin, Pollak, Senja |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Slovenia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 44% |
| Student > Master | 2 | 13% |
| Student > Bachelor | 1 | 6% |
| Lecturer | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 44% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Business, Management and Accounting | 1 | 6% |
| Social Sciences | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 19% |