You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
MMRF-CoMMpass Data Integration and Analysis for Identifying Prognostic Markers
|
---|---|
Chapter number | 42 |
Book title |
Computational Science – ICCS 2020
|
Published by |
Springer, Cham, June 2020
|
DOI | 10.1007/978-3-030-50420-5_42 |
Book ISBNs |
978-3-03-050419-9, 978-3-03-050420-5
|
Authors |
Marzia Settino, Mariamena Arbitrio, Francesca Scionti, Daniele Caracciolo, Maria Teresa Di Martino, Pierosandro Tagliaferri, Pierfrancesco Tassone, Mario Cannataro, Settino, Marzia, Arbitrio, Mariamena, Scionti, Francesca, Caracciolo, Daniele, Di Martino, Maria Teresa, Tagliaferri, Pierosandro, Tassone, Pierfrancesco, Cannataro, Mario |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 22% |
Student > Master | 3 | 11% |
Student > Postgraduate | 2 | 7% |
Student > Ph. D. Student | 2 | 7% |
Student > Doctoral Student | 1 | 4% |
Other | 5 | 19% |
Unknown | 8 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 22% |
Medicine and Dentistry | 5 | 19% |
Unspecified | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Nursing and Health Professions | 1 | 4% |
Other | 2 | 7% |
Unknown | 11 | 41% |