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X Demographics
Mendeley readers
| Title |
An Extended UTAUT Model to Explain Factors Affecting Online Learning System Amidst COVID-19 Pandemic: The Case of a Developing Economy
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, April 2022
|
| DOI | 10.3389/frai.2022.768831 |
| Pubmed ID | |
| Authors |
Gesselle B. Batucan, Gamaliel G. Gonzales, Merly G. Balbuena, Kyla Rose B. Pasaol, Darlyn N. Seno, Roselyn R. Gonzales |
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 % |
|---|---|---|
| Switzerland | 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 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 140 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 8% |
| Student > Master | 10 | 7% |
| Student > Bachelor | 7 | 5% |
| Lecturer | 6 | 4% |
| Other | 4 | 3% |
| Other | 17 | 12% |
| Unknown | 85 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 13 | 9% |
| Computer Science | 12 | 9% |
| Social Sciences | 11 | 8% |
| Arts and Humanities | 4 | 3% |
| Economics, Econometrics and Finance | 2 | 1% |
| Other | 10 | 7% |
| Unknown | 88 | 63% |