You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Highly Characterized Yeast Toolkit for Modular, Multipart Assembly
|
|---|---|
| Published in |
ACS Synthetic Biology, May 2015
|
| DOI | 10.1021/sb500366v |
| Pubmed ID | |
| Authors |
Michael E. Lee, William C. DeLoache, Bernardo Cervantes, John E. Dueber |
| Abstract |
Saccharomyces cerevisiae is an increasingly attractive host for synthetic biology due to its long history in industrial fermentations. However, until recently, most synthetic biology systems have focused on bacteria. While there is a wealth of resources and literature about the biology of yeast, it can be daunting to navigate and extract the tools needed for engineering applications. Here we present a versatile engineering platform for yeast, which contains both a rapid, modular assembly method and a basic set of characterized parts. This platform provides a framework in which to create new designs, as well as data on promoters, terminators, degradation tags, and copy number to inform those designs. Additionally, we describe genome-editing tools for making modifications directly to the yeast chromosomes, which we find preferable to plasmids due to reduced variability in expression. With this toolkit, we strive to simplify the process of engineering yeast by standardizing the physical manipulations and suggesting best practices that together will enable more straightforward translation of materials and data from one group to another. Additionally, by relieving researchers of the burden of technical details, they can focus on higher-level aspects of experimental design. |
X Demographics
The data shown below were collected from the profiles of 38 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 34% |
| Canada | 2 | 5% |
| United Kingdom | 2 | 5% |
| Finland | 1 | 3% |
| Australia | 1 | 3% |
| Italy | 1 | 3% |
| Mexico | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 16 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 58% |
| Scientists | 13 | 34% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
| Unknown | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,484 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | <1% |
| Canada | 3 | <1% |
| France | 1 | <1% |
| United Kingdom | 1 | <1% |
| Indonesia | 1 | <1% |
| Slovenia | 1 | <1% |
| Switzerland | 1 | <1% |
| China | 1 | <1% |
| Belgium | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 1466 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 294 | 20% |
| Student > Bachelor | 219 | 15% |
| Researcher | 213 | 14% |
| Student > Master | 211 | 14% |
| Student > Doctoral Student | 67 | 5% |
| Other | 152 | 10% |
| Unknown | 328 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 581 | 39% |
| Agricultural and Biological Sciences | 315 | 21% |
| Engineering | 68 | 5% |
| Chemistry | 35 | 2% |
| Chemical Engineering | 30 | 2% |
| Other | 90 | 6% |
| Unknown | 365 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 53. 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 21 November 2023.
All research outputs
#801,006
of 25,371,288 outputs
Outputs from ACS Synthetic Biology
#80
of 2,903 outputs
Outputs of similar age
#9,500
of 278,911 outputs
Outputs of similar age from ACS Synthetic Biology
#2
of 37 outputs
Altmetric has tracked 25,371,288 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 2,903 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done particularly well, scoring higher than 97% 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 278,911 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 96% of its contemporaries.
We're also able to compare this research output to 37 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 94% of its contemporaries.