The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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.
Timeline
X Demographics
Mendeley readers
Title |
Factorial Network Models to Improve P2P Credit Risk Management
|
---|---|
Published in |
Frontiers in Artificial Intelligence, June 2019
|
DOI | 10.3389/frai.2019.00008 |
Pubmed ID | |
Authors |
Daniel Felix Ahelegbey, Paolo Giudici, Branka Hadji-Misheva |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 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 % |
---|---|---|
Unknown | 51 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 10% |
Student > Doctoral Student | 5 | 10% |
Student > Master | 5 | 10% |
Lecturer | 4 | 8% |
Researcher | 2 | 4% |
Other | 5 | 10% |
Unknown | 25 | 49% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 10 | 20% |
Economics, Econometrics and Finance | 6 | 12% |
Computer Science | 4 | 8% |
Engineering | 3 | 6% |
Mathematics | 1 | 2% |
Other | 2 | 4% |
Unknown | 25 | 49% |