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X Demographics
Mendeley readers
| Title |
Do we still need supertrees?
|
|---|---|
| Published in |
BMC Biology, February 2012
|
| DOI | 10.1186/1741-7007-10-13 |
| Pubmed ID | |
| Authors |
Arndt von Haeseler |
| Abstract |
The up-dated species level phylogeny for the carnivores using a supertree approach provides new insights into the evolutionary origin and relationships of carnivores. While the gain in biological knowledge is substantial, the supertree approach is not undisputed. I discuss the principles of supertree methods and the competitor supermatrix approaches. I argue that both methods are important to infer phylogenetic relationships.See research article http://www.biomedcentral.com/1741-7007/10/12. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 40% |
| Indonesia | 1 | 10% |
| Cameroon | 1 | 10% |
| Spain | 1 | 10% |
| United States | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 70% |
| Members of the public | 2 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Spain | 3 | 1% |
| United Kingdom | 3 | 1% |
| Germany | 2 | <1% |
| Argentina | 2 | <1% |
| Brazil | 2 | <1% |
| Turkey | 1 | <1% |
| France | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 12 | 5% |
| Unknown | 213 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 63 | 26% |
| Student > Ph. D. Student | 57 | 23% |
| Student > Master | 34 | 14% |
| Student > Bachelor | 22 | 9% |
| Professor > Associate Professor | 14 | 6% |
| Other | 33 | 14% |
| Unknown | 21 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 143 | 59% |
| Environmental Science | 28 | 11% |
| Biochemistry, Genetics and Molecular Biology | 19 | 8% |
| Earth and Planetary Sciences | 14 | 6% |
| Computer Science | 7 | 3% |
| Other | 8 | 3% |
| Unknown | 25 | 10% |