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X Demographics
Mendeley readers
Chapter title |
TinyKeys: A New Approach to Efficient Multi-Party Computation
|
---|---|
Chapter number | 1 |
Book title |
Advances in Cryptology – CRYPTO 2018
|
Published by |
Springer, Cham, August 2018
|
DOI | 10.1007/978-3-319-96878-0_1 |
Book ISBNs |
978-3-31-996877-3, 978-3-31-996878-0
|
Authors |
Carmit Hazay, Emmanuela Orsini, Peter Scholl, Eduardo Soria-Vazquez, Hazay, Carmit, Orsini, Emmanuela, Scholl, Peter, Soria-Vazquez, Eduardo |
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 % |
---|---|---|
Belgium | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 31% |
Student > Master | 6 | 21% |
Researcher | 3 | 10% |
Professor > Associate Professor | 3 | 10% |
Lecturer | 1 | 3% |
Other | 2 | 7% |
Unknown | 5 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 19 | 66% |
Mathematics | 1 | 3% |
Physics and Astronomy | 1 | 3% |
Design | 1 | 3% |
Unknown | 7 | 24% |