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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Knock-in/Knock-out (KIKO) vectors for rapid integration of large DNA sequences, including whole metabolic pathways, onto the Escherichia coli chromosome at well-characterised loci
|
|---|---|
| Published in |
Microbial Cell Factories, June 2013
|
| DOI | 10.1186/1475-2859-12-60 |
| Pubmed ID | |
| Authors |
Suriana Sabri, Jennifer A Steen, Mareike Bongers, Lars K Nielsen, Claudia E Vickers |
| Abstract |
Metabolic engineering projects often require integration of multiple genes in order to control the desired phenotype. However, this often requires iterative rounds of engineering because many current insertion approaches are limited by the size of the DNA that can be transferred onto the chromosome. Consequently, construction of highly engineered strains is very time-consuming. A lack of well-characterised insertion loci is also problematic. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 316 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Malaysia | 1 | <1% |
| Belgium | 1 | <1% |
| Canada | 1 | <1% |
| China | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 303 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 82 | 26% |
| Researcher | 78 | 25% |
| Student > Master | 48 | 15% |
| Student > Bachelor | 22 | 7% |
| Student > Doctoral Student | 16 | 5% |
| Other | 33 | 10% |
| Unknown | 37 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 133 | 42% |
| Biochemistry, Genetics and Molecular Biology | 93 | 29% |
| Engineering | 11 | 3% |
| Immunology and Microbiology | 6 | 2% |
| Medicine and Dentistry | 5 | 2% |
| Other | 22 | 7% |
| Unknown | 46 | 15% |
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 30 July 2020.
All research outputs
#12,878,328
of 22,713,403 outputs
Outputs from Microbial Cell Factories
#767
of 1,587 outputs
Outputs of similar age
#99,238
of 196,548 outputs
Outputs of similar age from Microbial Cell Factories
#7
of 8 outputs
Altmetric has tracked 22,713,403 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 1,587 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 50% 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 196,548 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.