Title |
Bacterial Communities in Women with Bacterial Vaginosis: High Resolution Phylogenetic Analyses Reveal Relationships of Microbiota to Clinical Criteria
|
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Published in |
PLOS ONE, June 2012
|
DOI | 10.1371/journal.pone.0037818 |
Pubmed ID | |
Authors |
Sujatha Srinivasan, Noah G. Hoffman, Martin T. Morgan, Frederick A. Matsen, Tina L. Fiedler, Robert W. Hall, Frederick J. Ross, Connor O. McCoy, Roger Bumgarner, Jeanne M. Marrazzo, David N. Fredricks |
Abstract |
Bacterial vaginosis (BV) is a common condition that is associated with numerous adverse health outcomes and is characterized by poorly understood changes in the vaginal microbiota. We sought to describe the composition and diversity of the vaginal bacterial biota in women with BV using deep sequencing of the 16S rRNA gene coupled with species-level taxonomic identification. We investigated the associations between the presence of individual bacterial species and clinical diagnostic characteristics of BV. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 1% |
South Africa | 3 | <1% |
Germany | 2 | <1% |
France | 1 | <1% |
Sweden | 1 | <1% |
Peru | 1 | <1% |
Switzerland | 1 | <1% |
Spain | 1 | <1% |
Denmark | 1 | <1% |
Other | 0 | 0% |
Unknown | 439 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 93 | 20% |
Student > Ph. D. Student | 76 | 17% |
Student > Master | 59 | 13% |
Student > Bachelor | 46 | 10% |
Other | 27 | 6% |
Other | 87 | 19% |
Unknown | 67 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 119 | 26% |
Medicine and Dentistry | 68 | 15% |
Biochemistry, Genetics and Molecular Biology | 66 | 15% |
Immunology and Microbiology | 50 | 11% |
Engineering | 13 | 3% |
Other | 49 | 11% |
Unknown | 90 | 20% |