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X Demographics
Mendeley readers
Title |
Enhancing portfolio management using artificial intelligence: literature review
|
---|---|
Published in |
Frontiers in Artificial Intelligence, April 2024
|
DOI | 10.3389/frai.2024.1371502 |
Pubmed ID | |
Authors |
Kristina Sutiene, Peter Schwendner, Ciprian Sipos, Luis Lorenzo, Miroslav Mirchev, Petre Lameski, Audrius Kabasinskas, Chemseddine Tidjani, Belma Ozturkkal, Jurgita Cerneviciene |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Algeria | 1 | 25% |
Switzerland | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 10 | 33% |
Student > Ph. D. Student | 3 | 10% |
Student > Master | 2 | 7% |
Lecturer | 1 | 3% |
Professor > Associate Professor | 1 | 3% |
Other | 3 | 10% |
Unknown | 10 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 12 | 40% |
Computer Science | 3 | 10% |
Environmental Science | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Psychology | 1 | 3% |
Other | 3 | 10% |
Unknown | 9 | 30% |