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Mendeley readers
Attention Score in Context
| Title |
Detecting lateral gene transfers by statistical reconciliation of phylogenetic forests
|
|---|---|
| Published in |
BMC Bioinformatics, June 2010
|
| DOI | 10.1186/1471-2105-11-324 |
| Pubmed ID | |
| Authors |
Sophie S Abby, Eric Tannier, Manolo Gouy, Vincent Daubin |
Mendeley readers
The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| United Kingdom | 4 | 3% |
| Sweden | 3 | 2% |
| Brazil | 2 | 1% |
| Germany | 2 | 1% |
| Czechia | 2 | 1% |
| Spain | 2 | 1% |
| Hong Kong | 1 | <1% |
| Canada | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 129 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 41 | 26% |
| Student > Ph. D. Student | 36 | 23% |
| Professor > Associate Professor | 15 | 10% |
| Professor | 11 | 7% |
| Student > Master | 10 | 6% |
| Other | 34 | 22% |
| Unknown | 8 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 99 | 64% |
| Biochemistry, Genetics and Molecular Biology | 13 | 8% |
| Computer Science | 9 | 6% |
| Environmental Science | 8 | 5% |
| Engineering | 3 | 2% |
| Other | 11 | 7% |
| Unknown | 12 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 09 October 2016.
All research outputs
#2,330,163
of 23,289,753 outputs
Outputs from BMC Bioinformatics
#667
of 7,377 outputs
Outputs of similar age
#8,533
of 96,712 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 69 outputs
Altmetric has tracked 23,289,753 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,377 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 90% 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 96,712 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 91% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.