The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Title |
Assessing Banks' Distress Using News and Regular Financial Data
|
---|---|
Published in |
Frontiers in Artificial Intelligence, June 2022
|
DOI | 10.3389/frai.2022.871863 |
Pubmed ID | |
Authors |
Paola Cerchiello, Giancarlo Nicola, Samuel Rönnqvist, Peter Sarlin |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Switzerland | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 1 | 8% |
Student > Master | 1 | 8% |
Student > Bachelor | 1 | 8% |
Lecturer | 1 | 8% |
Lecturer > Senior Lecturer | 1 | 8% |
Other | 0 | 0% |
Unknown | 7 | 58% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 2 | 17% |
Computer Science | 1 | 8% |
Economics, Econometrics and Finance | 1 | 8% |
Engineering | 1 | 8% |
Unknown | 7 | 58% |