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Mendeley readers
Chapter title |
Robustness
|
---|---|
Chapter number | 6 |
Book title |
The Science of Quantitative Information Flow
|
Published by |
Springer, Cham, January 2020
|
DOI | 10.1007/978-3-319-96131-6_6 |
Book ISBNs |
978-3-31-996129-3, 978-3-31-996131-6
|
Authors |
Mário S. Alvim, Konstantinos Chatzikokolakis, Annabelle McIver, Carroll Morgan, Catuscia Palamidessi, Geoffrey Smith, Alvim, Mário S., Chatzikokolakis, Konstantinos, McIver, Annabelle, Morgan, Carroll, Palamidessi, Catuscia, Smith, Geoffrey |
Mendeley readers
The data shown below were compiled from readership statistics for 382 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 2% |
United Kingdom | 5 | 1% |
France | 2 | <1% |
Italy | 2 | <1% |
Germany | 1 | <1% |
Switzerland | 1 | <1% |
Portugal | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Belgium | 1 | <1% |
Other | 5 | 1% |
Unknown | 356 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 118 | 31% |
Researcher | 56 | 15% |
Professor > Associate Professor | 29 | 8% |
Student > Master | 23 | 6% |
Professor | 23 | 6% |
Other | 78 | 20% |
Unknown | 55 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Economics, Econometrics and Finance | 122 | 32% |
Engineering | 44 | 12% |
Mathematics | 20 | 5% |
Computer Science | 19 | 5% |
Agricultural and Biological Sciences | 19 | 5% |
Other | 98 | 26% |
Unknown | 60 | 16% |