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Unraveling interactions in microbial communities - from co-cultures to microbiomes

Overview of attention for article published in Journal of Microbiology, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#30 of 857)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
9 X users

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
249 Mendeley
citeulike
2 CiteULike
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Title
Unraveling interactions in microbial communities - from co-cultures to microbiomes
Published in
Journal of Microbiology, May 2015
DOI 10.1007/s12275-015-5060-1
Pubmed ID
Authors

Justin Tan, Cristal Zuniga, Karsten Zengler

Abstract

Microorganisms do not exist in isolation in the environment. Instead, they form complex communities among themselves as well as with their hosts. Different forms of interactions not only shape the composition of these communities but also define how these communities are established and maintained. The kinds of interaction a bacterium can employ are largely encoded in its genome. This allows us to deploy a genomescale modeling approach to understand, and ultimately predict, the complex and intertwined relationships in which microorganisms engage. So far, most studies on microbial communities have been focused on synthetic co-cultures and simple communities. However, recent advances in molecular and computational biology now enable bottom up methods to be deployed for complex microbial communities from the environment to provide insight into the intricate and dynamic interactions in which microorganisms are engaged. These methods will be applicable for a wide range of microbial communities involved in industrial processes, as well as understanding, preserving and reconditioning natural microbial communities present in soil, water, and the human microbiome.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 249 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Mexico 3 1%
Colombia 2 <1%
Canada 2 <1%
Italy 1 <1%
United Kingdom 1 <1%
Switzerland 1 <1%
France 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 231 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 70 28%
Researcher 42 17%
Student > Master 36 14%
Student > Bachelor 20 8%
Student > Doctoral Student 14 6%
Other 29 12%
Unknown 38 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 91 37%
Biochemistry, Genetics and Molecular Biology 35 14%
Environmental Science 19 8%
Engineering 17 7%
Immunology and Microbiology 16 6%
Other 28 11%
Unknown 43 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 11 October 2019.
All research outputs
#2,983,980
of 24,885,505 outputs
Outputs from Journal of Microbiology
#30
of 857 outputs
Outputs of similar age
#36,901
of 269,609 outputs
Outputs of similar age from Journal of Microbiology
#1
of 14 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 857 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 96% 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 269,609 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 14 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 99% of its contemporaries.