| Title |
A Metagenomic Approach to Characterization of the Vaginal Microbiome Signature in Pregnancy
|
|---|---|
| Published in |
PLOS ONE, June 2012
|
| DOI | 10.1371/journal.pone.0036466 |
| Pubmed ID | |
| Authors |
Kjersti Aagaard, Kevin Riehle, Jun Ma, Nicola Segata, Toni-Ann Mistretta, Cristian Coarfa, Sabeen Raza, Sean Rosenbaum, Ignatia Van den Veyver, Aleksandar Milosavljevic, Dirk Gevers, Curtis Huttenhower, Joseph Petrosino, James Versalovic |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 25% |
| Egypt | 2 | 13% |
| United Kingdom | 1 | 6% |
| Netherlands | 1 | 6% |
| France | 1 | 6% |
| Unknown | 7 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 75% |
| Scientists | 2 | 13% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 973 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 21 | 2% |
| Brazil | 3 | <1% |
| Ireland | 2 | <1% |
| Germany | 2 | <1% |
| Spain | 2 | <1% |
| South Africa | 1 | <1% |
| Canada | 1 | <1% |
| Peru | 1 | <1% |
| France | 1 | <1% |
| Other | 4 | <1% |
| Unknown | 935 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 156 | 16% |
| Researcher | 154 | 16% |
| Student > Master | 135 | 14% |
| Student > Bachelor | 116 | 12% |
| Student > Doctoral Student | 63 | 6% |
| Other | 175 | 18% |
| Unknown | 174 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 255 | 26% |
| Medicine and Dentistry | 181 | 19% |
| Biochemistry, Genetics and Molecular Biology | 130 | 13% |
| Immunology and Microbiology | 77 | 8% |
| Computer Science | 20 | 2% |
| Other | 106 | 11% |
| Unknown | 204 | 21% |