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Mendeley readers
Chapter title |
Predict Sepsis Level in Intensive Medicine – Data Mining Approach
|
---|---|
Chapter number | 19 |
Book title |
Advances in Information Systems and Technologies
|
Published by |
Springer, Berlin, Heidelberg, January 2013
|
DOI | 10.1007/978-3-642-36981-0_19 |
Book ISBNs |
978-3-64-236980-3, 978-3-64-236981-0
|
Authors |
João M. C. Gonçalves, Filipe Portela, Manuel Filipe Santos, Álvaro Silva, José Machado, António Abelha, Gonçalves, João M. C., Portela, Filipe, Santos, Manuel Filipe, Silva, Álvaro, Machado, José, Abelha, António |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 14% |
Professor > Associate Professor | 1 | 14% |
Student > Bachelor | 1 | 14% |
Student > Doctoral Student | 1 | 14% |
Unknown | 3 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 29% |
Medicine and Dentistry | 1 | 14% |
Engineering | 1 | 14% |
Unknown | 3 | 43% |