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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A computational method to predict genetically encoded rare amino acids in proteins
|
|---|---|
| Published in |
Genome Biology, August 2005
|
| DOI | 10.1186/gb-2005-6-9-r79 |
| Pubmed ID | |
| Authors |
Barnali N Chaudhuri, Todd O Yeates |
| Abstract |
In several natural settings, the standard genetic code is expanded to incorporate two additional amino acids with distinct functionality, selenocysteine and pyrrolysine. These rare amino acids can be overlooked inadvertently, however, as they arise by recoding at certain stop codons. We report a method for such recoding prediction from genomic data, using read-through similarity evaluation. A survey across a set of microbial genomes identifies almost all the known cases as well as a number of novel candidate proteins. |
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 % |
|---|---|---|
| Taiwan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 7% |
| India | 1 | 3% |
| Germany | 1 | 3% |
| Greece | 1 | 3% |
| Denmark | 1 | 3% |
| Unknown | 24 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 30% |
| Researcher | 8 | 27% |
| Professor > Associate Professor | 3 | 10% |
| Student > Master | 3 | 10% |
| Professor | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 53% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Computer Science | 2 | 7% |
| Engineering | 2 | 7% |
| Social Sciences | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 4 | 13% |
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 11 May 2012.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Genome Biology
#4,269
of 4,467 outputs
Outputs of similar age
#65,246
of 69,129 outputs
Outputs of similar age from Genome Biology
#24
of 25 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 1st percentile – i.e., 1% 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 69,129 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.