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A Multi-Variant, Viral Dynamic Model of Genotype 1 HCV to Assess the in vivo Evolution of Protease-Inhibitor Resistant Variants

Overview of attention for article published in PLoS Computational Biology, April 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
50 Mendeley
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Title
A Multi-Variant, Viral Dynamic Model of Genotype 1 HCV to Assess the in vivo Evolution of Protease-Inhibitor Resistant Variants
Published in
PLoS Computational Biology, April 2010
DOI 10.1371/journal.pcbi.1000745
Pubmed ID
Authors

Bambang S. Adiwijaya, Eva Herrmann, Brian Hare, Tara Kieffer, Chao Lin, Ann D. Kwong, Varun Garg, John C. R. Randle, Christoph Sarrazin, Stefan Zeuzem, Paul R. Caron

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 34%
Student > Ph. D. Student 12 24%
Student > Master 5 10%
Unspecified 3 6%
Other 2 4%
Other 6 12%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 24%
Medicine and Dentistry 12 24%
Mathematics 4 8%
Engineering 4 8%
Unspecified 3 6%
Other 11 22%
Unknown 4 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 30 December 2013.
All research outputs
#6,531,611
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#4,502
of 8,964 outputs
Outputs of similar age
#30,200
of 102,788 outputs
Outputs of similar age from PLoS Computational Biology
#25
of 51 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 49th percentile – i.e., 49% 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 102,788 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 51 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 50% of its contemporaries.