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Mendeley readers
Chapter title |
Integration of Iris Biometrics in Automated Teller Machines for Enhanced User Authentication
|
---|---|
Chapter number | 23 |
Book title |
Information Science and Applications 2018
|
Published by |
Springer, Singapore, June 2018
|
DOI | 10.1007/978-981-13-1056-0_23 |
Book ISBNs |
978-9-81-131055-3, 978-9-81-131056-0
|
Authors |
Kennedy Okokpujie, Etinosa Noma-Osaghae, Olatunji Okesola, Osemwegie Omoruyi, Chinonso Okereke, Samuel John, Imhade P. Okokpujie, Okokpujie, Kennedy, Noma-Osaghae, Etinosa, Okesola, Olatunji, Omoruyi, Osemwegie, Okereke, Chinonso, John, Samuel, Okokpujie, Imhade P. |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 3 | 12% |
Student > Master | 2 | 8% |
Student > Postgraduate | 2 | 8% |
Professor > Associate Professor | 2 | 8% |
Student > Bachelor | 2 | 8% |
Other | 4 | 15% |
Unknown | 11 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 23% |
Engineering | 6 | 23% |
Business, Management and Accounting | 1 | 4% |
Unspecified | 1 | 4% |
Design | 1 | 4% |
Other | 0 | 0% |
Unknown | 11 | 42% |