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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A standard vector for the chromosomal integration and characterization of BioBrick™ parts in Escherichia coli
|
|---|---|
| Published in |
Journal of Biological Engineering, May 2013
|
| DOI | 10.1186/1754-1611-7-12 |
| Pubmed ID | |
| Authors |
Susanna Zucca, Lorenzo Pasotti, Nicolò Politi, Maria Gabriella Cusella De Angelis, Paolo Magni |
| Abstract |
The chromosomal integration of biological parts in the host genome enables the engineering of plasmid-free stable strains with single-copy insertions of the desired gene networks. Although different integrative vectors were proposed, no standard pre-assembled genetic tool is available to carry out this task. Synthetic biology concepts can contribute to the development of standardized and user friendly solutions to easily produce engineered strains and to rapidly characterize the desired genetic parts in single-copy context. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 3% |
| United States | 4 | 3% |
| Austria | 1 | <1% |
| Lithuania | 1 | <1% |
| New Zealand | 1 | <1% |
| Italy | 1 | <1% |
| Japan | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 127 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 23% |
| Researcher | 31 | 22% |
| Student > Master | 24 | 17% |
| Student > Bachelor | 17 | 12% |
| Student > Doctoral Student | 6 | 4% |
| Other | 15 | 11% |
| Unknown | 16 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 47 | 33% |
| Agricultural and Biological Sciences | 45 | 32% |
| Engineering | 9 | 6% |
| Immunology and Microbiology | 5 | 4% |
| Social Sciences | 4 | 3% |
| Other | 13 | 9% |
| Unknown | 18 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 20 May 2021.
All research outputs
#5,720,125
of 23,416,487 outputs
Outputs from Journal of Biological Engineering
#89
of 271 outputs
Outputs of similar age
#46,598
of 194,940 outputs
Outputs of similar age from Journal of Biological Engineering
#1
of 2 outputs
Altmetric has tracked 23,416,487 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 271 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 67% 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 194,940 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 75% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them