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% |