Title |
Predictors of Extra-Marital Partnerships among Women Married to Fishermen along Lake Victoria in Kisumu County, Kenya
|
---|---|
Published in |
PLOS ONE, April 2014
|
DOI | 10.1371/journal.pone.0095298 |
Pubmed ID | |
Authors |
Zachary Kwena, Isaac Mwanzo, Chris Shisanya, Carol Camlin, Janet Turan, Lilian Achiro, Elizabeth Bukusi |
Abstract |
The vulnerability of women to HIV infection makes establishing predictors of women's involvement in extra-marital partnerships critical. We investigated the predictors of extra-marital partnerships among women married to fishermen. |
X Demographics
The data shown below were collected from the profiles of 69 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Kenya | 5 | 7% |
United States | 5 | 7% |
Spain | 4 | 6% |
France | 2 | 3% |
Korea, Republic of | 2 | 3% |
Netherlands | 2 | 3% |
Mexico | 1 | 1% |
Colombia | 1 | 1% |
United Kingdom | 1 | 1% |
Other | 11 | 16% |
Unknown | 35 | 51% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 61 | 88% |
Scientists | 6 | 9% |
Practitioners (doctors, other healthcare professionals) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 2% |
Canada | 1 | <1% |
Luxembourg | 1 | <1% |
Unknown | 113 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 16% |
Researcher | 16 | 14% |
Student > Master | 13 | 11% |
Other | 6 | 5% |
Student > Doctoral Student | 6 | 5% |
Other | 24 | 21% |
Unknown | 33 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 17 | 15% |
Medicine and Dentistry | 16 | 14% |
Social Sciences | 13 | 11% |
Agricultural and Biological Sciences | 11 | 9% |
Nursing and Health Professions | 7 | 6% |
Other | 16 | 14% |
Unknown | 37 | 32% |