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X Demographics
Mendeley readers
| Title |
Predicting the evolution of antibiotic resistance
|
|---|---|
| Published in |
BMC Biology, February 2013
|
| DOI | 10.1186/1741-7007-11-14 |
| Pubmed ID | |
| Authors |
Martijn F Schenk, J Arjan GM de Visser |
| Abstract |
Mutations causing antibiotic resistance are often associated with a cost in the absence of antibiotics. Surprisingly, a new study found that bacteria adapting to increased temperature became resistant to rifampicin. By studying the consequences of the involved mutations in different conditions and genetic backgrounds, the authors illustrate how knowledge of two fundamental genetic properties, pleiotropy and epistasis, may help to predict the evolution of antibiotic resistance. |
X Demographics
The data shown below were collected from the profiles of 18 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 States | 4 | 22% |
| United Kingdom | 2 | 11% |
| Spain | 2 | 11% |
| Canada | 1 | 6% |
| Central African Republic | 1 | 6% |
| Mexico | 1 | 6% |
| South Africa | 1 | 6% |
| Unknown | 6 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 67% |
| Scientists | 3 | 17% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Ireland | 1 | <1% |
| Denmark | 1 | <1% |
| Brazil | 1 | <1% |
| Spain | 1 | <1% |
| Estonia | 1 | <1% |
| Unknown | 181 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 19% |
| Researcher | 25 | 13% |
| Student > Bachelor | 20 | 11% |
| Student > Postgraduate | 10 | 5% |
| Professor > Associate Professor | 10 | 5% |
| Other | 37 | 20% |
| Unknown | 51 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 67 | 35% |
| Biochemistry, Genetics and Molecular Biology | 20 | 11% |
| Medicine and Dentistry | 8 | 4% |
| Immunology and Microbiology | 8 | 4% |
| Chemistry | 4 | 2% |
| Other | 25 | 13% |
| Unknown | 57 | 30% |