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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
What Is Synthetic Biology?
|
|---|---|
| Chapter number | 1 |
| Book title |
Synthetic Biology
|
| Published in |
Methods in molecular biology, January 2009
|
| DOI | 10.1007/978-1-62703-625-2_1 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-624-5, 978-1-62703-625-2
|
| Authors |
Karen M. Polizzi, Polizzi, Karen M. |
| Abstract |
Synthetic biology is a rapidly developing field that aims to engineer new biological systems that do not already exist in Nature or redesign existing systems from scratch. The emergence of synthetic biology has been supported by a number of enabling technologies and what has developed is a broad field that currently encompasses many activities. The aim of this chapter is to introduce the field and discuss some key examples to date. What these examples have in common is a set of underlying molecular biology techniques including DNA assembly and combinatorial diversity generation, as well as computational modelling to assist in designing the new biological systems. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 17% |
| Student > Bachelor | 3 | 13% |
| Researcher | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Doctoral Student | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 7 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 25% |
| Agricultural and Biological Sciences | 5 | 21% |
| Engineering | 2 | 8% |
| Business, Management and Accounting | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 48. 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 22 March 2018.
All research outputs
#729,328
of 22,719,618 outputs
Outputs from Methods in molecular biology
#51
of 13,083 outputs
Outputs of similar age
#2,427
of 168,889 outputs
Outputs of similar age from Methods in molecular biology
#3
of 159 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,083 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 99% 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 168,889 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.