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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel PCR-based method for high throughput prokaryotic expression of antimicrobial peptide genes
|
|---|---|
| Published in |
BMC Biotechnology, March 2012
|
| DOI | 10.1186/1472-6750-12-10 |
| Pubmed ID | |
| Authors |
Tao Ke, Su Liang, Jin Huang, Han Mao, Jibao Chen, Caihua Dong, Junyan Huang, Shengyi Liu, Jianxiong Kang, Dongqi Liu, Xiangdong Ma |
| Abstract |
To facilitate the screening of large quantities of new antimicrobial peptides (AMPs), we describe a cost-effective method for high throughput prokaryotic expression of AMPs. EDDIE, an autoproteolytic mutant of the N-terminal autoprotease, Npro, from classical swine fever virus, was selected as a fusion protein partner. The expression system was used for high-level expression of six antimicrobial peptides with different sizes: Bombinin-like peptide 7, Temporin G, hexapeptide, Combi-1, human Histatin 9, and human Histatin 6. These expressed AMPs were purified and evaluated for antimicrobial activity. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
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 % |
|---|---|---|
| United States | 1 | 2% |
| Portugal | 1 | 2% |
| Denmark | 1 | 2% |
| Uruguay | 1 | 2% |
| Unknown | 54 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 26% |
| Researcher | 11 | 19% |
| Student > Postgraduate | 9 | 16% |
| Student > Doctoral Student | 4 | 7% |
| Other | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 6 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 47% |
| Biochemistry, Genetics and Molecular Biology | 12 | 21% |
| Chemistry | 3 | 5% |
| Unspecified | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Other | 5 | 9% |
| Unknown | 7 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 19 October 2022.
All research outputs
#4,707,778
of 23,548,905 outputs
Outputs from BMC Biotechnology
#252
of 948 outputs
Outputs of similar age
#30,493
of 162,046 outputs
Outputs of similar age from BMC Biotechnology
#8
of 16 outputs
Altmetric has tracked 23,548,905 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 948 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has gotten more attention than average, scoring higher than 72% 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 162,046 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 80% 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 gotten more attention than average, scoring higher than 50% of its contemporaries.