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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome editing of Clostridium autoethanogenum using CRISPR/Cas9
|
|---|---|
| Published in |
Biotechnology for Biofuels and Bioproducts, October 2016
|
| DOI | 10.1186/s13068-016-0638-3 |
| Pubmed ID | |
| Authors |
Shilpa Nagaraju, Naomi Kathleen Davies, David Jeffrey Fraser Walker, Michael Köpke, Séan Dennis Simpson |
| Abstract |
Impactful greenhouse gas emissions abatement can now be achieved through gas fermentation using acetogenic microbes for the production of low-carbon fuels and chemicals. However, compared to traditional hosts like Escherichia coli or yeast, only basic genetic tools exist for gas-fermenting acetogens. To advance the process, a robust genetic engineering platform for acetogens is essential. In this study, we report scarless genome editing of an industrially used model acetogen, Clostridium autoethanogenum, using the CRISPR/Cas9 system. Initial efforts to retrofit the CRISPR/Cas9 system for C. autoethanogenum resulted in poor efficiency likely due to uncontrolled expression of Cas9. To address this, we constructed and screened a small library of tetracycline-inducible promoters that can also be used to fine-tune gene expression. With a new inducible promoter, the efficiency of CRISPR/Cas9-mediated desired gene deletion in C. autoethanogenum was improved to over 50 %, making it a viable tool for engineering C. autoethanogenum. Addition of both an inducible promoter library and a scarless genome editing tool is an important expansion to the genetic tool box of industrial C. autoethanogenum strain. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| Spain | 2 | 18% |
| United Kingdom | 1 | 9% |
| Netherlands | 1 | 9% |
| Guinea | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 4 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| New Zealand | 1 | <1% |
| Unknown | 212 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 21% |
| Researcher | 41 | 19% |
| Student > Master | 25 | 12% |
| Student > Bachelor | 19 | 9% |
| Student > Doctoral Student | 10 | 5% |
| Other | 27 | 13% |
| Unknown | 48 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 70 | 33% |
| Agricultural and Biological Sciences | 45 | 21% |
| Chemical Engineering | 12 | 6% |
| Engineering | 10 | 5% |
| Immunology and Microbiology | 8 | 4% |
| Other | 13 | 6% |
| Unknown | 56 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 25 January 2022.
All research outputs
#2,003,239
of 25,368,786 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#71
of 1,578 outputs
Outputs of similar age
#34,500
of 324,004 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#3
of 48 outputs
Altmetric has tracked 25,368,786 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 95% 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 324,004 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 48 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 93% of its contemporaries.