You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Title |
Maximum likelihood models and algorithms for gene tree evolution with duplications and losses
|
---|---|
Published in |
BMC Bioinformatics, February 2011
|
DOI | 10.1186/1471-2105-12-s1-s15 |
Pubmed ID | |
Authors |
Pawel Górecki, Gordon J Burleigh, Oliver Eulenstein |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 11% |
Spain | 3 | 4% |
Brazil | 2 | 3% |
Sweden | 2 | 3% |
United Kingdom | 2 | 3% |
Australia | 1 | 1% |
Italy | 1 | 1% |
Belgium | 1 | 1% |
Unknown | 51 | 72% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 23 | 32% |
Student > Ph. D. Student | 17 | 24% |
Professor > Associate Professor | 13 | 18% |
Student > Master | 9 | 13% |
Student > Postgraduate | 3 | 4% |
Other | 4 | 6% |
Unknown | 2 | 3% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 44 | 62% |
Computer Science | 12 | 17% |
Biochemistry, Genetics and Molecular Biology | 4 | 6% |
Mathematics | 4 | 6% |
Engineering | 2 | 3% |
Other | 2 | 3% |
Unknown | 3 | 4% |