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Mendeley readers
Chapter title |
Analyses of Public Health Databases via Clinical Pathway Modelling: TBWEB
|
---|---|
Chapter number | 41 |
Book title |
Computational Science – ICCS 2020
|
Published by |
Springer, Cham, June 2020
|
DOI | 10.1007/978-3-030-50423-6_41 |
Book ISBNs |
978-3-03-050422-9, 978-3-03-050423-6
|
Authors |
Anderson C. Apunike, Lívia Oliveira-Ciabati, Tiago L. M. Sanches, Lariza L. de Oliveira, Mauro N. Sanchez, Rafael M. Galliez, Domingos Alves, Apunike, Anderson C., Oliveira-Ciabati, Lívia, Sanches, Tiago L. M., Oliveira, Lariza L. de, Sanchez, Mauro N., Galliez, Rafael M., Alves, Domingos |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 38% |
Other | 1 | 13% |
Student > Master | 1 | 13% |
Professor > Associate Professor | 1 | 13% |
Student > Postgraduate | 1 | 13% |
Other | 0 | 0% |
Unknown | 1 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 25% |
Biochemistry, Genetics and Molecular Biology | 1 | 13% |
Nursing and Health Professions | 1 | 13% |
Business, Management and Accounting | 1 | 13% |
Medicine and Dentistry | 1 | 13% |
Other | 1 | 13% |
Unknown | 1 | 13% |