| Title |
The GeneOptimizer Algorithm: using a sliding window approach to cope with the vast sequence space in multiparameter DNA sequence optimization
|
|---|---|
| Published in |
Systems and Synthetic Biology, September 2010
|
| DOI | 10.1007/s11693-010-9062-3 |
| Pubmed ID | |
| Authors |
David Raab, Marcus Graf, Frank Notka, Thomas Schödl, Ralf Wagner |
Mendeley readers
The data shown below were compiled from readership statistics for 233 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Austria | 1 | <1% |
| Australia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Switzerland | 1 | <1% |
| Belgium | 1 | <1% |
| Canada | 1 | <1% |
| Thailand | 1 | <1% |
| China | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 221 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 58 | 25% |
| Researcher | 49 | 21% |
| Student > Master | 30 | 13% |
| Student > Bachelor | 16 | 7% |
| Student > Doctoral Student | 7 | 3% |
| Other | 23 | 10% |
| Unknown | 50 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 69 | 30% |
| Agricultural and Biological Sciences | 68 | 29% |
| Computer Science | 11 | 5% |
| Engineering | 8 | 3% |
| Immunology and Microbiology | 6 | 3% |
| Other | 15 | 6% |
| Unknown | 56 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 28 March 2024.
All research outputs
#2,549,214
of 23,410,748 outputs
Outputs from Systems and Synthetic Biology
#8
of 99 outputs
Outputs of similar age
#9,782
of 95,632 outputs
Outputs of similar age from Systems and Synthetic Biology
#2
of 3 outputs
Altmetric has tracked 23,410,748 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 99 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 91% 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 95,632 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 89% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.