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Mendeley readers
Attention Score in Context
| Title |
Modelling the evolution of drug resistance in the presence of antiviral drugs
|
|---|---|
| Published in |
BMC Public Health, October 2007
|
| DOI | 10.1186/1471-2458-7-300 |
| Pubmed ID | |
| Authors |
Jianhong Wu, Ping Yan, Chris Archibald |
| Abstract |
The emergence of drug resistance in treated populations and the transmission of drug resistant strains to newly infected individuals are important public health concerns in the prevention and control of infectious diseases such as HIV and influenza. Mathematical modelling may help guide the design of treatment programs and also may help us better understand the potential benefits and limitations of prevention strategies. |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| India | 1 | 2% |
| Australia | 1 | 2% |
| Uzbekistan | 1 | 2% |
| China | 1 | 2% |
| Unknown | 58 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 17% |
| Professor > Associate Professor | 8 | 12% |
| Researcher | 7 | 11% |
| Student > Master | 5 | 8% |
| Student > Bachelor | 4 | 6% |
| Other | 13 | 20% |
| Unknown | 17 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 20% |
| Mathematics | 9 | 14% |
| Agricultural and Biological Sciences | 7 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Social Sciences | 4 | 6% |
| Other | 10 | 15% |
| Unknown | 18 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 29 April 2009.
All research outputs
#7,453,479
of 22,786,691 outputs
Outputs from BMC Public Health
#7,877
of 14,853 outputs
Outputs of similar age
#25,650
of 76,187 outputs
Outputs of similar age from BMC Public Health
#14
of 39 outputs
Altmetric has tracked 22,786,691 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,853 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 76,187 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.