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X Demographics
Mendeley readers
| Chapter title |
Opening Pandora’s Box: Effective Techniques for Reverse Engineering IoT Devices
|
|---|---|
| Chapter number | 1 |
| Book title |
Smart Card Research and Advanced Applications
|
| Published by |
Springer, Cham, November 2017
|
| DOI | 10.1007/978-3-319-75208-2_1 |
| Book ISBNs |
978-3-31-975207-5, 978-3-31-975208-2
|
| Authors |
Omer Shwartz, Yael Mathov, Michael Bohadana, Yuval Elovici, Yossi Oren |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 20% |
| Researcher | 4 | 9% |
| Student > Postgraduate | 3 | 7% |
| Professor > Associate Professor | 3 | 7% |
| Student > Ph. D. Student | 3 | 7% |
| Other | 11 | 25% |
| Unknown | 11 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 57% |
| Engineering | 4 | 9% |
| Social Sciences | 1 | 2% |
| Linguistics | 1 | 2% |
| Unknown | 13 | 30% |