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Designing de novo: interdisciplinary debates in synthetic biology

Overview of attention for article published in Systems and Synthetic Biology, April 2013
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Title
Designing de novo: interdisciplinary debates in synthetic biology
Published in
Systems and Synthetic Biology, April 2013
DOI 10.1007/s11693-013-9106-6
Pubmed ID
Authors

Ana Delgado, Manuel Porcar

Abstract

Synthetic biology is often presented as a promissory field that ambitions to produce novelty by design. The ultimate promise is the production of living systems that will perform new and desired functions in predictable ways. Nevertheless, realizing promises of novelty has not proven to be a straightforward endeavour. This paper provides an overview of, and explores the existing debates on, the possibility of designing living systems de novo as they appear in interdisciplinary talks between engineering and biological views within the field of synthetic biology. To broaden such interdisciplinary debates, we include the views from the social sciences and the humanities and we point to some fundamental sources of disagreement within the field. Different views co-exist, sometimes as controversial tensions, but sometimes also pointing to integration in the form of intermediate positions. As the field is emerging, multiple choices are possible. They will inform alternative trajectories in synthetic biology and will certainly shape its future. What direction is best is to be decided in reflexive and socially robust ways.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Netherlands 1 2%
United States 1 2%
Unknown 50 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 28%
Student > Ph. D. Student 9 17%
Student > Bachelor 8 15%
Researcher 8 15%
Other 2 4%
Other 5 9%
Unknown 6 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 38%
Biochemistry, Genetics and Molecular Biology 12 23%
Engineering 3 6%
Social Sciences 3 6%
Computer Science 2 4%
Other 8 15%
Unknown 5 9%
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 04 November 2014.
All research outputs
#13,383,307
of 22,707,247 outputs
Outputs from Systems and Synthetic Biology
#57
of 97 outputs
Outputs of similar age
#106,548
of 199,332 outputs
Outputs of similar age from Systems and Synthetic Biology
#2
of 3 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 97 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 41st percentile – i.e., 41% 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 199,332 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% 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.