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Mendeley readers
Attention Score in Context
| Title |
Modeling of the human rhinovirus C capsid suggests possible causes for antiviral drug resistance
|
|---|---|
| Published in |
Virology, October 2013
|
| DOI | 10.1016/j.virol.2013.10.004 |
| Pubmed ID | |
| Authors |
Holly A. Basta, Shamaila Ashraf, Jean-Yves Sgro, Yury A. Bochkov, James E. Gern, Ann C. Palmenberg |
| Abstract |
Human rhinoviruses of the RV-C species are recently discovered pathogens with greater clinical significance than isolates in the RV-A+B species. The RV-C cannot be propagated in typical culture systems; so much of the virology is necessarily derivative, relying on comparative genomics, relative to the better studied RV-A+B. We developed a bioinformatics-based structural model for a C15 isolate. The model showed the VP1-3 capsid proteins retain their fundamental cores relative to the RV-A+B, but conserved, internal RV-C residues affect the shape and charge of the VP1 hydrophobic pocket that confers antiviral drug susceptibility. When predictions of the model were tested in organ cultures or ALI systems with recombinant C15 virus, there was a resistance to capsid-binding drugs, including pleconaril, BTA-188, WIN56291, WIN52035 and WIN52084. Unique to all RV-C, the model predicts conserved amino acids within the pocket and capsid surface pore leading to the pocket may correlate with this activity. |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| United Kingdom | 1 | 2% |
| Netherlands | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 48 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 21% |
| Student > Ph. D. Student | 9 | 17% |
| Student > Bachelor | 7 | 13% |
| Student > Postgraduate | 5 | 9% |
| Student > Master | 4 | 8% |
| Other | 9 | 17% |
| Unknown | 8 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 23% |
| Medicine and Dentistry | 11 | 21% |
| Engineering | 4 | 8% |
| Immunology and Microbiology | 4 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Other | 9 | 17% |
| Unknown | 10 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 113. 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 07 May 2019.
All research outputs
#372,346
of 25,373,627 outputs
Outputs from Virology
#35
of 9,498 outputs
Outputs of similar age
#2,846
of 224,573 outputs
Outputs of similar age from Virology
#1
of 49 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,498 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 99% 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 224,573 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 98% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.