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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Untranslated regions of diverse plant viral RNAs vary greatly in translation enhancement efficiency
|
|---|---|
| Published in |
BMC Biotechnology, May 2012
|
| DOI | 10.1186/1472-6750-12-22 |
| Pubmed ID | |
| Authors |
Qiuling Fan, Krzysztof Treder, W Allen Miller |
| Abstract |
Whole plants or plant cell cultures can serve as low cost bioreactors to produce massive amounts of a specific protein for pharmacological or industrial use. To maximize protein expression, translation of mRNA must be optimized. Many plant viral RNAs harbor extremely efficient translation enhancers. However, few of these different translation elements have been compared side-by-side. Thus, it is unclear which are the most efficient translation enhancers. Here, we compare the effects of untranslated regions (UTRs) containing translation elements from six plant viruses on translation in wheat germ extract and in monocotyledenous and dicotyledenous plant cells. |
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 % |
|---|---|---|
| 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Poland | 1 | 2% |
| Unknown | 58 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 28% |
| Researcher | 11 | 18% |
| Student > Master | 8 | 13% |
| Professor > Associate Professor | 3 | 5% |
| Professor | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 13 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 38% |
| Biochemistry, Genetics and Molecular Biology | 15 | 25% |
| Medicine and Dentistry | 2 | 3% |
| Engineering | 2 | 3% |
| Immunology and Microbiology | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 15 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 22 May 2018.
All research outputs
#2,265,449
of 22,664,644 outputs
Outputs from BMC Biotechnology
#57
of 935 outputs
Outputs of similar age
#14,753
of 163,548 outputs
Outputs of similar age from BMC Biotechnology
#2
of 14 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 935 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 93% 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 163,548 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.