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 |
A General Method for Visualizing and Explaining Black-Box Regression Models
|
---|---|
Chapter number | 3 |
Book title |
Adaptive and Natural Computing Algorithms
|
Published by |
Springer, Berlin, Heidelberg, April 2011
|
DOI | 10.1007/978-3-642-20267-4_3 |
Book ISBNs |
978-3-64-220266-7, 978-3-64-220267-4
|
Authors |
Erik Štrumbelj, Igor Kononenko |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Unknown | 53 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 22% |
Student > Master | 11 | 20% |
Student > Doctoral Student | 6 | 11% |
Student > Ph. D. Student | 6 | 11% |
Student > Bachelor | 2 | 4% |
Other | 6 | 11% |
Unknown | 11 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 22 | 41% |
Engineering | 7 | 13% |
Mathematics | 4 | 7% |
Agricultural and Biological Sciences | 2 | 4% |
Business, Management and Accounting | 1 | 2% |
Other | 5 | 9% |
Unknown | 13 | 24% |