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X Demographics
Mendeley readers
| Title |
Predicting bankruptcy of firms using earnings call data and transfer learning
|
|---|---|
| Published in |
PeerJ Computer Science, January 2023
|
| DOI | 10.7717/peerj-cs.1134 |
| Pubmed ID | |
| Authors |
Hafeez Ur Rehman Siddiqui, Beatriz Sainz de Abajo, Isabel de la Torre Díez, Furqan Rustam, Amjad Raza, Sajjad Atta, Imran Ashraf |
X Demographics
The data shown below were collected from the profiles of 43 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 | 5 | 12% |
| United Kingdom | 3 | 7% |
| India | 2 | 5% |
| Italy | 1 | 2% |
| Canada | 1 | 2% |
| Indonesia | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Romania | 1 | 2% |
| Saudi Arabia | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 22 | 51% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 39 | 91% |
| Scientists | 2 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 22% |
| Professor | 1 | 11% |
| Unspecified | 1 | 11% |
| Unknown | 5 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 22% |
| Unspecified | 1 | 11% |
| Business, Management and Accounting | 1 | 11% |
| Economics, Econometrics and Finance | 1 | 11% |
| Unknown | 4 | 44% |