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Multi-omics data integration reveals metabolome as the top predictor of the cervicovaginal microenvironment

Overview of attention for article published in PLoS Computational Biology, February 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
17 X users

Readers on

mendeley
110 Mendeley
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Article details
Title
Multi-omics data integration reveals metabolome as the top predictor of the cervicovaginal microenvironment
Published in
PLoS Computational Biology, February 2022
DOI 10.1371/journal.pcbi.1009876
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 12 11%
Student > Master 11 10%
Student > Bachelor 9 8%
Researcher 9 8%
Student > Doctoral Student 6 5%
Other 14 13%
Unknown 49 45%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 14%
Medicine and Dentistry 12 11%
Agricultural and Biological Sciences 8 7%
Immunology and Microbiology 8 7%
Computer Science 5 5%
Other 9 8%
Unknown 53 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 23 April 2025.
All research outputs
#1,804,963
of 32,394,374 outputs
Outputs from PLoS Computational Biology
#1,283
of 10,087 outputs
Outputs of similar age
#35,977
of 470,774 outputs
Outputs of similar age from PLoS Computational Biology
#35
of 233 outputs
Altmetric has tracked 32,394,374 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 10,087 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done well, scoring higher than 87% 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 470,774 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 92% of its contemporaries.
We're also able to compare this research output to 233 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.