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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Multi-Omic Systems-Based Approach Reveals Metabolic Markers of Bacterial Vaginosis and Insight into the Disease
|
|---|---|
| Published in |
PLOS ONE, February 2013
|
| DOI | 10.1371/journal.pone.0056111 |
| Pubmed ID | |
| Authors |
Carl J. Yeoman, Susan M. Thomas, Margret E. Berg Miller, Alexander V. Ulanov, Manolito Torralba, Sarah Lucas, Marcus Gillis, Melissa Cregger, Andres Gomez, Mengfei Ho, Steven R. Leigh, Rebecca Stumpf, Douglas J. Creedon, Michael A. Smith, Jon S. Weisbaum, Karen E. Nelson, Brenda A. Wilson, Bryan A. White |
| Abstract |
Bacterial vaginosis (BV) is the most common vaginal disorder of reproductive-age women. Yet the cause of BV has not been established. To uncover key determinants of BV, we employed a multi-omic, systems-biology approach, including both deep 16S rRNA gene-based sequencing and metabolomics of lavage samples from 36 women. These women varied demographically, behaviorally, and in terms of health status and symptoms. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| United Kingdom | 2 | 1% |
| Slovenia | 1 | <1% |
| Spain | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 161 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 25% |
| Researcher | 28 | 16% |
| Student > Master | 24 | 14% |
| Student > Bachelor | 15 | 9% |
| Student > Postgraduate | 9 | 5% |
| Other | 30 | 18% |
| Unknown | 23 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 31% |
| Biochemistry, Genetics and Molecular Biology | 24 | 14% |
| Medicine and Dentistry | 22 | 13% |
| Immunology and Microbiology | 14 | 8% |
| Engineering | 6 | 4% |
| Other | 20 | 12% |
| Unknown | 32 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 January 2023.
All research outputs
#1,239,111
of 23,565,002 outputs
Outputs from PLOS ONE
#16,228
of 201,994 outputs
Outputs of similar age
#11,890
of 286,999 outputs
Outputs of similar age from PLOS ONE
#388
of 5,053 outputs
Altmetric has tracked 23,565,002 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 201,994 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 286,999 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 5,053 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.