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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CodonTest: Modeling Amino Acid Substitution Preferences in Coding Sequences
|
|---|---|
| Published in |
PLoS Computational Biology, August 2010
|
| DOI | 10.1371/journal.pcbi.1000885 |
| Pubmed ID | |
| Authors |
Wayne Delport, Konrad Scheffler, Gordon Botha, Mike B. Gravenor, Spencer V. Muse, Sergei L. Kosakovsky Pond |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 1 | 33% |
| Chile | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 2% |
| Switzerland | 1 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 103 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 36% |
| Student > Ph. D. Student | 20 | 18% |
| Student > Master | 11 | 10% |
| Professor | 9 | 8% |
| Student > Bachelor | 6 | 5% |
| Other | 15 | 14% |
| Unknown | 10 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 68 | 61% |
| Biochemistry, Genetics and Molecular Biology | 16 | 14% |
| Medicine and Dentistry | 4 | 4% |
| Computer Science | 3 | 3% |
| Mathematics | 1 | <1% |
| Other | 5 | 5% |
| Unknown | 14 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 17 November 2017.
All research outputs
#16,721,208
of 25,371,288 outputs
Outputs from PLoS Computational Biology
#7,218
of 8,958 outputs
Outputs of similar age
#84,566
of 104,198 outputs
Outputs of similar age from PLoS Computational Biology
#43
of 60 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 16th percentile – i.e., 16% 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 104,198 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.