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Mendeley readers
Attention Score in Context
| Title |
Evolutionary Patterns in the Sequence and Structure of Transfer RNA: Early Origins of Archaea and Viruses
|
|---|---|
| Published in |
PLoS Computational Biology, March 2008
|
| DOI | 10.1371/journal.pcbi.1000018 |
| Pubmed ID | |
| Authors |
Feng-Jie Sun, Gustavo Caetano-Anollés |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| Portugal | 1 | 2% |
| Germany | 1 | 2% |
| Brazil | 1 | 2% |
| Sweden | 1 | 2% |
| South Africa | 1 | 2% |
| Netherlands | 1 | 2% |
| Mexico | 1 | 2% |
| Israel | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 47 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 33% |
| Student > Ph. D. Student | 12 | 20% |
| Student > Master | 8 | 13% |
| Professor | 7 | 12% |
| Student > Doctoral Student | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 55% |
| Biochemistry, Genetics and Molecular Biology | 8 | 13% |
| Computer Science | 5 | 8% |
| Earth and Planetary Sciences | 2 | 3% |
| Chemical Engineering | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 7 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 27 March 2008.
All research outputs
#4,873,189
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#3,868
of 9,003 outputs
Outputs of similar age
#16,627
of 95,003 outputs
Outputs of similar age from PLoS Computational Biology
#19
of 39 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 57% 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 95,003 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 82% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.