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The Genome-Scale Integrated Networks in Microorganisms

Overview of attention for article published in Frontiers in Microbiology, February 2018
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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1 blog
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7 X users

Citations

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26 Dimensions

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86 Mendeley
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Title
The Genome-Scale Integrated Networks in Microorganisms
Published in
Frontiers in Microbiology, February 2018
DOI 10.3389/fmicb.2018.00296
Pubmed ID
Authors

Tong Hao, Dan Wu, Lingxuan Zhao, Qian Wang, Edwin Wang, Jinsheng Sun

Abstract

The genome-scale cellular network has become a necessary tool in the systematic analysis of microbes. In a cell, there are several layers (i.e., types) of the molecular networks, for example, genome-scale metabolic network (GMN), transcriptional regulatory network (TRN), and signal transduction network (STN). It has been realized that the limitation and inaccuracy of the prediction exist just using only a single-layer network. Therefore, the integrated network constructed based on the networks of the three types attracts more interests. The function of a biological process in living cells is usually performed by the interaction of biological components. Therefore, it is necessary to integrate and analyze all the related components at the systems level for the comprehensively and correctly realizing the physiological function in living organisms. In this review, we discussed three representative genome-scale cellular networks: GMN, TRN, and STN, representing different levels (i.e., metabolism, gene regulation, and cellular signaling) of a cell's activities. Furthermore, we discussed the integration of the networks of the three types. With more understanding on the complexity of microbial cells, the development of integrated network has become an inevitable trend in analyzing genome-scale cellular networks of microorganisms.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 20%
Student > Master 17 20%
Researcher 9 10%
Student > Bachelor 7 8%
Professor 4 5%
Other 15 17%
Unknown 17 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 22%
Agricultural and Biological Sciences 18 21%
Computer Science 6 7%
Engineering 5 6%
Immunology and Microbiology 4 5%
Other 11 13%
Unknown 23 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 25 February 2018.
All research outputs
#3,381,213
of 25,335,657 outputs
Outputs from Frontiers in Microbiology
#3,071
of 29,090 outputs
Outputs of similar age
#65,532
of 336,873 outputs
Outputs of similar age from Frontiers in Microbiology
#93
of 592 outputs
Altmetric has tracked 25,335,657 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,090 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 89% 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 336,873 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 80% of its contemporaries.
We're also able to compare this research output to 592 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.