Title |
Using Complex Networks to Characterize International Business Cycles
|
---|---|
Published in |
PLOS ONE, March 2013
|
DOI | 10.1371/journal.pone.0058109 |
Pubmed ID | |
Authors |
Petre Caraiani |
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 % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
United States | 1 | 3% |
Unknown | 32 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 18% |
Researcher | 5 | 15% |
Student > Master | 5 | 15% |
Student > Bachelor | 4 | 12% |
Professor > Associate Professor | 4 | 12% |
Other | 8 | 24% |
Unknown | 2 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 8 | 24% |
Economics, Econometrics and Finance | 7 | 21% |
Computer Science | 4 | 12% |
Mathematics | 3 | 9% |
Medicine and Dentistry | 3 | 9% |
Other | 5 | 15% |
Unknown | 4 | 12% |