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Mendeley readers
Attention Score in Context
| Title |
Models for synthetic biology
|
|---|---|
| Published in |
BMC Systems Biology, November 2007
|
| DOI | 10.1186/1752-0509-1-47 |
| Pubmed ID | |
| Authors |
Yiannis N Kaznessis |
| Abstract |
Synthetic biological engineering is emerging from biology as a distinct discipline based on quantification. The technologies propelling synthetic biology are not new, nor is the concept of designing novel biological molecules. What is new is the emphasis on system behavior. The objective is the design and construction of new biological devices and systems to deliver useful applications. Numerous synthetic gene circuits have been created in the past decade, including bistable switches, oscillators, and logic gates, and possible applications abound, including biofuels, detectors for biochemical and chemical weapons, disease diagnosis, and gene therapies. More than fifty years after the discovery of the molecular structure of DNA, molecular biology is mature enough for real quantification that is useful for biological engineering applications, similar to the revolution in modeling in chemistry in the 1950s. With the excitement that synthetic biology is generating, the engineering and biological science communities appear remarkably willing to cross disciplinary boundaries toward a common goal. |
Mendeley readers
The data shown below were compiled from readership statistics for 241 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 3% |
| Mexico | 5 | 2% |
| United Kingdom | 5 | 2% |
| France | 2 | <1% |
| Germany | 2 | <1% |
| Portugal | 2 | <1% |
| Austria | 1 | <1% |
| Brazil | 1 | <1% |
| Indonesia | 1 | <1% |
| Other | 7 | 3% |
| Unknown | 207 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 61 | 25% |
| Researcher | 51 | 21% |
| Student > Bachelor | 30 | 12% |
| Student > Master | 26 | 11% |
| Other | 17 | 7% |
| Other | 35 | 15% |
| Unknown | 21 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 100 | 41% |
| Biochemistry, Genetics and Molecular Biology | 31 | 13% |
| Engineering | 27 | 11% |
| Computer Science | 21 | 9% |
| Social Sciences | 8 | 3% |
| Other | 27 | 11% |
| Unknown | 27 | 11% |
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 18 May 2023.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from BMC Systems Biology
#314
of 1,142 outputs
Outputs of similar age
#26,105
of 77,650 outputs
Outputs of similar age from BMC Systems Biology
#3
of 6 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 64% 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 77,650 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.