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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Half-life measurements of chemical inducers for recombinant gene expression
|
|---|---|
| Published in |
Journal of Biological Engineering, February 2014
|
| DOI | 10.1186/1754-1611-8-5 |
| Pubmed ID | |
| Authors |
Nicolo’ Politi, Lorenzo Pasotti, Susanna Zucca, Michela Casanova, Giuseppina Micoli, Maria Gabriella Cusella De Angelis, Paolo Magni |
| Abstract |
Inducible promoters are widely spread genetic tools for triggering, tuning and optimizing the expression of recombinant genes in engineered biological systems. Most of them are controlled by the addition of a specific exogenous chemical inducer that indirectly regulates the promoter transcription rate in a concentration-dependent fashion. In order to have a robust and predictable degree of control on promoter activity, the degradation rate of such chemicals should be considered in many applications like recombinant protein production. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| United States | 1 | <1% |
| China | 1 | <1% |
| Unknown | 132 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 23% |
| Researcher | 19 | 14% |
| Student > Master | 19 | 14% |
| Student > Bachelor | 15 | 11% |
| Student > Doctoral Student | 10 | 7% |
| Other | 10 | 7% |
| Unknown | 33 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 41 | 30% |
| Agricultural and Biological Sciences | 33 | 24% |
| Immunology and Microbiology | 7 | 5% |
| Engineering | 5 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 2% |
| Other | 11 | 8% |
| Unknown | 37 | 27% |
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 11 May 2015.
All research outputs
#13,055,420
of 22,747,498 outputs
Outputs from Journal of Biological Engineering
#143
of 258 outputs
Outputs of similar age
#158,007
of 307,256 outputs
Outputs of similar age from Journal of Biological Engineering
#8
of 8 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 258 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 307,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.