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Mendeley readers
Chapter title |
Machine Learning in Astronomy: A Case Study in Quasar-Star Classification
|
---|---|
Chapter number | 72 |
Book title |
Emerging Technologies in Data Mining and Information Security
|
Published by |
Springer, Singapore, January 2019
|
DOI | 10.1007/978-981-13-1501-5_72 |
Book ISBNs |
978-9-81-131500-8, 978-9-81-131501-5
|
Authors |
Mohammed Viquar, Suryoday Basak, Ariruna Dasgupta, Surbhi Agrawal, Snehanshu Saha, Viquar, Mohammed, Basak, Suryoday, Dasgupta, Ariruna, Agrawal, Surbhi, Saha, Snehanshu |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 42 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 29% |
Student > Master | 8 | 19% |
Researcher | 6 | 14% |
Student > Doctoral Student | 3 | 7% |
Lecturer | 1 | 2% |
Other | 5 | 12% |
Unknown | 7 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Physics and Astronomy | 20 | 48% |
Computer Science | 10 | 24% |
Engineering | 4 | 10% |
Unknown | 8 | 19% |