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.
X Demographics
Mendeley readers
Title |
Maximum-Entropy and Bayesian Methods in Science and Engineering
|
---|---|
Published by |
Springer Netherlands, December 2012
|
DOI | 10.1007/978-94-009-3049-0 |
ISBNs |
978-9-40-107871-9, 978-9-40-093049-0
|
Editors |
Erickson, Gary J., Smith, C. Ray |
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 % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 5% |
United States | 1 | 5% |
Unknown | 17 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 21% |
Student > Ph. D. Student | 2 | 11% |
Student > Bachelor | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Student > Postgraduate | 1 | 5% |
Other | 0 | 0% |
Unknown | 10 | 53% |
Readers by discipline | Count | As % |
---|---|---|
Physics and Astronomy | 4 | 21% |
Computer Science | 2 | 11% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Earth and Planetary Sciences | 1 | 5% |
Engineering | 1 | 5% |
Other | 0 | 0% |
Unknown | 10 | 53% |