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| Title |
Fault-Tolerant Real-Time Systems
|
|---|---|
| Published by |
Springer US, November 2007
|
| DOI | 10.1007/b102609 |
| ISBNs |
978-0-7923-9657-4, 978-0-585-29580-0
|
| Authors |
Poledna, Stefan |
Twitter Demographics
The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 2% |
| India | 1 | 2% |
| Nigeria | 1 | 2% |
| Unknown | 48 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 31% |
| Student > Ph. D. Student | 8 | 16% |
| Student > Bachelor | 7 | 14% |
| Researcher | 5 | 10% |
| Student > Doctoral Student | 4 | 8% |
| Other | 9 | 18% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 26 | 51% |
| Engineering | 20 | 39% |
| Medicine and Dentistry | 2 | 4% |
| Physics and Astronomy | 1 | 2% |
| Unknown | 2 | 4% |