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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Design Parameters to Control Synthetic Gene Expression in Escherichia coli
|
|---|---|
| Published in |
PLOS ONE, September 2009
|
| DOI | 10.1371/journal.pone.0007002 |
| Pubmed ID | |
| Authors |
Mark Welch, Sridhar Govindarajan, Jon E. Ness, Alan Villalobos, Austin Gurney, Jeremy Minshull, Claes Gustafsson |
| Abstract |
Production of proteins as therapeutic agents, research reagents and molecular tools frequently depends on expression in heterologous hosts. Synthetic genes are increasingly used for protein production because sequence information is easier to obtain than the corresponding physical DNA. Protein-coding sequences are commonly re-designed to enhance expression, but there are no experimentally supported design principles. |
X Demographics
The data shown below were collected from the profiles of 15 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 | 4 | 27% |
| United Kingdom | 3 | 20% |
| Australia | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 87% |
| Scientists | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 919 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 33 | 4% |
| United Kingdom | 13 | 1% |
| Germany | 4 | <1% |
| France | 3 | <1% |
| Japan | 3 | <1% |
| Belgium | 3 | <1% |
| Australia | 3 | <1% |
| Sweden | 2 | <1% |
| Canada | 2 | <1% |
| Other | 19 | 2% |
| Unknown | 834 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 258 | 28% |
| Student > Ph. D. Student | 225 | 24% |
| Student > Master | 84 | 9% |
| Student > Bachelor | 76 | 8% |
| Other | 51 | 6% |
| Other | 143 | 16% |
| Unknown | 82 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 472 | 51% |
| Biochemistry, Genetics and Molecular Biology | 185 | 20% |
| Engineering | 48 | 5% |
| Chemistry | 28 | 3% |
| Computer Science | 20 | 2% |
| Other | 73 | 8% |
| Unknown | 93 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 02 April 2024.
All research outputs
#908,112
of 23,575,346 outputs
Outputs from PLOS ONE
#12,230
of 201,789 outputs
Outputs of similar age
#2,329
of 93,850 outputs
Outputs of similar age from PLOS ONE
#38
of 511 outputs
Altmetric has tracked 23,575,346 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 201,789 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. 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 93,850 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 97% of its contemporaries.
We're also able to compare this research output to 511 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.