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 |
Maximum Resilience of Artificial Neural Networks
|
---|---|
Chapter number | 18 |
Book title |
Automated Technology for Verification and Analysis
|
Published by |
Springer, Cham, October 2017
|
DOI | 10.1007/978-3-319-68167-2_18 |
Book ISBNs |
978-3-31-968166-5, 978-3-31-968167-2
|
Authors |
Chih-Hong Cheng, Georg Nührenberg, Harald Ruess |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | <1% |
Unknown | 108 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 25 | 23% |
Student > Ph. D. Student | 23 | 21% |
Student > Master | 14 | 13% |
Student > Bachelor | 8 | 7% |
Student > Doctoral Student | 4 | 4% |
Other | 9 | 8% |
Unknown | 26 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 54 | 50% |
Engineering | 14 | 13% |
Mathematics | 3 | 3% |
Neuroscience | 3 | 3% |
Agricultural and Biological Sciences | 2 | 2% |
Other | 3 | 3% |
Unknown | 30 | 28% |