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Toward Multiscale Models of Cyanobacterial Growth: A Modular Approach

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, December 2016
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Title
Toward Multiscale Models of Cyanobacterial Growth: A Modular Approach
Published in
Frontiers in Bioengineering and Biotechnology, December 2016
DOI 10.3389/fbioe.2016.00095
Pubmed ID
Authors

Stefanie Westermark, Ralf Steuer

Abstract

Oxygenic photosynthesis dominates global primary productivity ever since its evolution more than three billion years ago. While many aspects of phototrophic growth are well understood, it remains a considerable challenge to elucidate the manifold dependencies and interconnections between the diverse cellular processes that together facilitate the synthesis of new cells. Phototrophic growth involves the coordinated action of several layers of cellular functioning, ranging from the photosynthetic light reactions and the electron transport chain, to carbon-concentrating mechanisms and the assimilation of inorganic carbon. It requires the synthesis of new building blocks by cellular metabolism, protection against excessive light, as well as diurnal regulation by a circadian clock and the orchestration of gene expression and cell division. Computational modeling allows us to quantitatively describe these cellular functions and processes relevant for phototrophic growth. As yet, however, computational models are mostly confined to the inner workings of individual cellular processes, rather than describing the manifold interactions between them in the context of a living cell. Using cyanobacteria as model organisms, this contribution seeks to summarize existing computational models that are relevant to describe phototrophic growth and seeks to outline their interactions and dependencies. Our ultimate aim is to understand cellular functioning and growth as the outcome of a coordinated operation of diverse yet interconnected cellular processes.

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The data shown below were collected from the profiles of 2 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 18%
Student > Bachelor 15 18%
Researcher 9 11%
Student > Doctoral Student 8 10%
Student > Master 8 10%
Other 15 18%
Unknown 12 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 23%
Agricultural and Biological Sciences 19 23%
Engineering 9 11%
Environmental Science 7 9%
Computer Science 4 5%
Other 8 10%
Unknown 16 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 January 2017.
All research outputs
#14,304,007
of 22,925,760 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,933
of 6,666 outputs
Outputs of similar age
#228,916
of 420,008 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#5
of 18 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,666 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 67% 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 420,008 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.