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Synthetic biology of minimal living cells: primitive cell models and semi-synthetic cells

Overview of attention for article published in Systems and Synthetic Biology, April 2010
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Title
Synthetic biology of minimal living cells: primitive cell models and semi-synthetic cells
Published in
Systems and Synthetic Biology, April 2010
DOI 10.1007/s11693-010-9054-3
Pubmed ID
Authors

Pasquale Stano

Abstract

This article summarizes a contribution presented at the ESF 2009 Synthetic Biology focused on the concept of the minimal requirement for life and on the issue of constructive (synthetic) approaches in biological research. The attempts to define minimal life within the framework of autopoietic theory are firstly described, and a short report on the development of autopoietic chemical systems based on fatty acid vesicles, which are relevant as primitive cell models is given. These studies can be used as a starting point for the construction of more complex systems, firstly being inspired by possible origins of life scenarioes (and therefore by considering primitive functions), then by considering an approach based on modern biomacromolecular-encoded functions. At this aim, semi-synthetic minimal cells are defined as those man-made vesicle-based systems that are composed of the minimal number of genes, proteins, biomolecules and which can be defined as living. Recent achievements on minimal sized semi-synthetic cells are then discussed, and the kind of information obtained is recognized as being distinctively derived by a constructive approach. Synthetic biology is therefore a fundamental tool for gaining basic knowledge about biosystems, and it should not be confined at all to the engineering side.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 3%
United States 2 3%
United Kingdom 1 1%
Italy 1 1%
Serbia 1 1%
Unknown 63 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 17%
Student > Ph. D. Student 11 16%
Student > Bachelor 9 13%
Professor > Associate Professor 8 11%
Student > Master 7 10%
Other 12 17%
Unknown 11 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 29%
Biochemistry, Genetics and Molecular Biology 16 23%
Computer Science 5 7%
Chemistry 5 7%
Engineering 3 4%
Other 8 11%
Unknown 13 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 April 2024.
All research outputs
#14,618,283
of 25,502,817 outputs
Outputs from Systems and Synthetic Biology
#59
of 102 outputs
Outputs of similar age
#80,762
of 102,810 outputs
Outputs of similar age from Systems and Synthetic Biology
#3
of 3 outputs
Altmetric has tracked 25,502,817 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 102 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 102,810 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.