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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predictable, Tunable Protein Production in Salmonella for Studying Host-Pathogen Interactions
|
|---|---|
| Published in |
Frontiers in Cellular and Infection Microbiology, November 2017
|
| DOI | 10.3389/fcimb.2017.00475 |
| Pubmed ID | |
| Authors |
Kendal G. Cooper, Audrey Chong, Tregei Starr, Ciaran E. Finn, Olivia Steele-Mortimer |
| Abstract |
Here we describe the use of synthetic genetic elements to improve the predictability and tunability of episomal protein production in Salmonella. We used a multi-pronged approach, in which a series of variable-strength synthetic promoters were combined with a synthetic transcriptional terminator, and plasmid copy number variation. This yielded a series of plasmids that drive uniform production of fluorescent and endogenous proteins, over a wide dynamic range. We describe several examples where this system is used to fine-tune constitutive expression in Salmonella, providing an efficient means to titrate out toxic effects of protein production. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| United Kingdom | 1 | 20% |
| Canada | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 26% |
| Student > Ph. D. Student | 10 | 17% |
| Researcher | 6 | 10% |
| Student > Bachelor | 5 | 9% |
| Professor > Associate Professor | 3 | 5% |
| Other | 4 | 7% |
| Unknown | 15 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 31% |
| Agricultural and Biological Sciences | 9 | 16% |
| Immunology and Microbiology | 7 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 21 | 36% |
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 07 January 2018.
All research outputs
#12,863,541
of 23,008,860 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#1,763
of 6,499 outputs
Outputs of similar age
#135,305
of 294,546 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#32
of 92 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,499 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 71% 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 294,546 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.