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X Demographics
Mendeley readers
Title |
Analyses of density-dependent effects are needed to understand how and when Wolbachia can control dengue vectors
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Published in |
BMC Biology, November 2016
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DOI | 10.1186/s12915-016-0328-4 |
Pubmed ID | |
Authors |
Robert A. Cheke |
Abstract |
Releases of Wolbachia-infected mosquitoes have been shown to be an effective method of controlling Aedes aegypti, the main vector of dengue fever, in Australia. A study in BMC Biology from Penelope Hancock and others shows that incorporation of density-dependent effects into population models can provide major improvements in understanding how and when the infected populations can become established.See research article: https://bmcbiol.biomedcentral.com/articles/10.1186/s12915-016-0319-5 . |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 40% |
Science communicators (journalists, bloggers, editors) | 2 | 40% |
Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
Unknown | 31 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 28% |
Student > Master | 6 | 19% |
Student > Bachelor | 4 | 13% |
Student > Ph. D. Student | 4 | 13% |
Librarian | 2 | 6% |
Other | 5 | 16% |
Unknown | 2 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 38% |
Biochemistry, Genetics and Molecular Biology | 4 | 13% |
Environmental Science | 2 | 6% |
Mathematics | 2 | 6% |
Social Sciences | 2 | 6% |
Other | 7 | 22% |
Unknown | 3 | 9% |