Title |
Parsing Social Network Survey Data from Hidden Populations Using Stochastic Context-Free Grammars
|
---|---|
Published in |
PLOS ONE, September 2009
|
DOI | 10.1371/journal.pone.0006777 |
Pubmed ID | |
Authors |
Art F. Y. Poon, Kimberly C. Brouwer, Steffanie A. Strathdee, Michelle Firestone-Cruz, Remedios M. Lozada, Sergei L. Kosakovsky Pond, Douglas D. Heckathorn, Simon D. W. Frost |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 4% |
Italy | 1 | 1% |
Brazil | 1 | 1% |
United Kingdom | 1 | 1% |
Czechia | 1 | 1% |
Thailand | 1 | 1% |
Luxembourg | 1 | 1% |
Unknown | 84 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 23% |
Researcher | 21 | 22% |
Student > Master | 11 | 12% |
Professor | 8 | 9% |
Student > Doctoral Student | 5 | 5% |
Other | 16 | 17% |
Unknown | 11 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 22 | 23% |
Social Sciences | 15 | 16% |
Computer Science | 10 | 11% |
Psychology | 6 | 6% |
Mathematics | 5 | 5% |
Other | 23 | 24% |
Unknown | 13 | 14% |