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Mendeley readers
Attention Score in Context
| Title |
Functional Classification Using Phylogenomic Inference
|
|---|---|
| Published in |
PLoS Computational Biology, June 2006
|
| DOI | 10.1371/journal.pcbi.0020077 |
| Pubmed ID | |
| Authors |
Duncan Brown, Kimmen Sjölander |
Mendeley readers
The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 18 | 10% |
| Brazil | 8 | 4% |
| United Kingdom | 3 | 2% |
| Argentina | 2 | 1% |
| Sweden | 1 | <1% |
| Canada | 1 | <1% |
| Colombia | 1 | <1% |
| Mexico | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 144 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 49 | 27% |
| Student > Ph. D. Student | 48 | 27% |
| Student > Master | 23 | 13% |
| Professor > Associate Professor | 16 | 9% |
| Student > Bachelor | 13 | 7% |
| Other | 24 | 13% |
| Unknown | 8 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 120 | 66% |
| Biochemistry, Genetics and Molecular Biology | 22 | 12% |
| Computer Science | 13 | 7% |
| Chemistry | 4 | 2% |
| Immunology and Microbiology | 2 | 1% |
| Other | 8 | 4% |
| Unknown | 12 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 03 September 2020.
All research outputs
#1,888,846
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#1,664
of 8,960 outputs
Outputs of similar age
#3,548
of 87,843 outputs
Outputs of similar age from PLoS Computational Biology
#1
of 25 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 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 done well, scoring higher than 81% 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 87,843 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
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 has done particularly well, scoring higher than 96% of its contemporaries.