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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mathematical modeling of translation initiation for the estimation of its efficiency to computationally design mRNA sequences with desired expression levels in prokaryotes
|
|---|---|
| Published in |
BMC Systems Biology, May 2010
|
| DOI | 10.1186/1752-0509-4-71 |
| Pubmed ID | |
| Authors |
Dokyun Na, Sunjae Lee, Doheon Lee |
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 % |
|---|---|---|
| Canada | 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 4% |
| Belgium | 2 | 2% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| Austria | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 118 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 39 | 30% |
| Student > Ph. D. Student | 31 | 24% |
| Student > Master | 14 | 11% |
| Student > Bachelor | 10 | 8% |
| Student > Doctoral Student | 7 | 5% |
| Other | 17 | 13% |
| Unknown | 12 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 65 | 50% |
| Biochemistry, Genetics and Molecular Biology | 25 | 19% |
| Engineering | 12 | 9% |
| Computer Science | 6 | 5% |
| Mathematics | 3 | 2% |
| Other | 8 | 6% |
| Unknown | 11 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 March 2022.
All research outputs
#15,872,485
of 23,578,918 outputs
Outputs from BMC Systems Biology
#642
of 1,135 outputs
Outputs of similar age
#79,229
of 97,489 outputs
Outputs of similar age from BMC Systems Biology
#12
of 20 outputs
Altmetric has tracked 23,578,918 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,135 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 97,489 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.