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 |
SIFT-Based Arabic Sign Language Recognition System
|
---|---|
Chapter number | 30 |
Book title |
Afro-European Conference for Industrial Advancement
|
Published by |
Springer, Cham, January 2015
|
DOI | 10.1007/978-3-319-13572-4_30 |
Book ISBNs |
978-3-31-913571-7, 978-3-31-913572-4
|
Authors |
Alaa Tharwat, Tarek Gaber, Aboul Ella Hassanien, M. K. Shahin, Basma Refaat |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 20% |
Student > Ph. D. Student | 7 | 16% |
Lecturer | 2 | 4% |
Other | 2 | 4% |
Lecturer > Senior Lecturer | 2 | 4% |
Other | 4 | 9% |
Unknown | 19 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 19 | 42% |
Engineering | 5 | 11% |
Economics, Econometrics and Finance | 1 | 2% |
Veterinary Science and Veterinary Medicine | 1 | 2% |
Unknown | 19 | 42% |