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Mendeley readers
Attention Score in Context
| Title |
Emergent properties of the interferon-signalling network may underlie the success of hepatitis C treatment
|
|---|---|
| Published in |
Nature Communications, May 2014
|
| DOI | 10.1038/ncomms4872 |
| Pubmed ID | |
| Authors |
Pranesh Padmanabhan, Urtzi Garaigorta, Narendra M. Dixit |
| Abstract |
Current interferon alpha-based treatment of hepatitis C virus (HCV) infection fails to cure a sizeable fraction of patients treated. The cause of this treatment failure remains unknown. Here using mathematical modelling, we predict treatment failure to be a consequence of the emergent properties of the interferon-signalling network. HCV induces bistability in the network, creating a new steady state where it can persist. Cells that admit the new steady state alone are refractory to interferon. Using a model of viral kinetics, we show that when the fraction of cells refractory to interferon in a patient exceeds a critical value, treatment fails. Direct-acting antivirals that suppress HCV replication can eliminate the new steady state, restoring interferon sensitivity and improving treatment response. Our study thus presents a new conceptual basis of HCV persistence and treatment response, elucidates the origin of the synergy between interferon and direct-acting antivirals, and facilitates rational treatment optimization. |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 22% |
| Student > Ph. D. Student | 9 | 20% |
| Student > Doctoral Student | 8 | 17% |
| Student > Master | 6 | 13% |
| Professor > Associate Professor | 3 | 7% |
| Other | 6 | 13% |
| Unknown | 4 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 20% |
| Biochemistry, Genetics and Molecular Biology | 8 | 17% |
| Agricultural and Biological Sciences | 8 | 17% |
| Engineering | 5 | 11% |
| Immunology and Microbiology | 4 | 9% |
| Other | 8 | 17% |
| Unknown | 4 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 August 2014.
All research outputs
#15,301,167
of 22,756,196 outputs
Outputs from Nature Communications
#41,865
of 46,862 outputs
Outputs of similar age
#133,584
of 227,066 outputs
Outputs of similar age from Nature Communications
#544
of 630 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 46,862 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.5. This one is in the 8th percentile – i.e., 8% 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 227,066 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 630 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.