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.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Bacterial Sigma Factors as Targets for Engineered or Synthetic Transcriptional Control
|
---|---|
Published in |
Frontiers in Bioengineering and Biotechnology, September 2014
|
DOI | 10.3389/fbioe.2014.00033 |
Pubmed ID | |
Authors |
Lakshmi Tripathi, Yan Zhang, Zhanglin Lin |
Abstract |
Sigma (σ) factors are the predominant constituents of transcription regulation in bacteria. σ Factors recruit the core RNA polymerase to recognize promoters with specific DNA sequences. Recently, engineering of transcriptional regulators has become a significant tool for strain engineering. The present review summarizes the recent advances in σ factor based engineering or synthetic design. The manipulation of σ factors presents insights into the bacterial stress tolerance and metabolite productivity. We envision more synthetic design based on σ factors that can be used to tune the regulatory network of bacteria. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 3% |
United Kingdom | 2 | 1% |
China | 1 | <1% |
Unknown | 192 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 48 | 24% |
Researcher | 30 | 15% |
Student > Bachelor | 25 | 13% |
Student > Master | 21 | 11% |
Student > Doctoral Student | 10 | 5% |
Other | 30 | 15% |
Unknown | 36 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 71 | 36% |
Agricultural and Biological Sciences | 55 | 28% |
Immunology and Microbiology | 8 | 4% |
Engineering | 6 | 3% |
Chemical Engineering | 4 | 2% |
Other | 14 | 7% |
Unknown | 42 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 08 November 2014.
All research outputs
#4,063,465
of 22,763,032 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#557
of 6,524 outputs
Outputs of similar age
#42,237
of 237,864 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#2
of 16 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,524 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 91% 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 237,864 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 82% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.