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 |
Social Engineering Attacks
|
---|---|
Chapter number | 49 |
Book title |
Emerging Technologies in Data Mining and Information Security
|
Published by |
Springer, Singapore, January 2023
|
DOI | 10.1007/978-981-19-4193-1_49 |
Book ISBNs |
978-9-81-194192-4, 978-9-81-194193-1
|
Authors |
Saini, Yuvraj Singh, Sharma, Lucky, Chawla, Pronika, Parashar, Sanidhya |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 163 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 23 | 14% |
Student > Master | 17 | 10% |
Student > Ph. D. Student | 12 | 7% |
Other | 8 | 5% |
Lecturer | 5 | 3% |
Other | 15 | 9% |
Unknown | 83 | 51% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 46 | 28% |
Engineering | 10 | 6% |
Business, Management and Accounting | 7 | 4% |
Unspecified | 5 | 3% |
Economics, Econometrics and Finance | 2 | 1% |
Other | 8 | 5% |
Unknown | 85 | 52% |