| Title |
Drug interactions and the evolution of antibiotic resistance
|
|---|---|
| Published in |
Nature Reviews Microbiology, June 2009
|
| DOI | 10.1038/nrmicro2133 |
| Pubmed ID | |
| Authors |
Pamela J. Yeh, Matthew J. Hegreness, Aviva Presser Aiden, Roy Kishony |
| Abstract |
Large-scale, systems biology approaches now allow us to systematically map synergistic and antagonistic interactions between drugs. Consequently, drug antagonism is emerging as a powerful tool to study biological function and relatedness between cellular components as well as to uncover mechanisms of drug action. Furthermore, theoretical models and new experiments suggest that antagonistic interactions between antibiotics can counteract the evolution of drug resistance. |
Mendeley readers
The data shown below were compiled from readership statistics for 472 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 19 | 4% |
| Denmark | 5 | 1% |
| Germany | 3 | <1% |
| Switzerland | 2 | <1% |
| United Kingdom | 2 | <1% |
| Belgium | 2 | <1% |
| Mexico | 2 | <1% |
| Austria | 1 | <1% |
| Brazil | 1 | <1% |
| Other | 11 | 2% |
| Unknown | 424 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 138 | 29% |
| Researcher | 84 | 18% |
| Student > Master | 52 | 11% |
| Student > Bachelor | 47 | 10% |
| Student > Doctoral Student | 24 | 5% |
| Other | 76 | 16% |
| Unknown | 51 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 186 | 39% |
| Biochemistry, Genetics and Molecular Biology | 60 | 13% |
| Medicine and Dentistry | 29 | 6% |
| Immunology and Microbiology | 23 | 5% |
| Chemistry | 22 | 5% |
| Other | 78 | 17% |
| Unknown | 74 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 28 November 2019.
All research outputs
#2,621,145
of 22,705,019 outputs
Outputs from Nature Reviews Microbiology
#1,107
of 2,678 outputs
Outputs of similar age
#10,272
of 113,723 outputs
Outputs of similar age from Nature Reviews Microbiology
#8
of 17 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,678 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.3. This one has gotten more attention than average, scoring higher than 58% 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 113,723 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 90% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.