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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep sequencing of hepatitis C virus hypervariable region 1 reveals no correlation between genetic heterogeneity and antiviral treatment outcome
|
|---|---|
| Published in |
BMC Infectious Diseases, July 2014
|
| DOI | 10.1186/1471-2334-14-389 |
| Pubmed ID | |
| Authors |
Kamila Caraballo Cortés, Osvaldo Zagordi, Karol Perlejewski, Tomasz Laskus, Krzysztof Maroszek, Iwona Bukowska-Ośko, Agnieszka Pawełczyk, Rafał Płoski, Hanna Berak, Andrzej Horban, Marek Radkowski |
| Abstract |
Hypervariable region 1 (HVR1) contained within envelope protein 2 (E2) gene is the most variable part of HCV genome and its translation product is a major target for the host immune response. Variability within HVR1 may facilitate evasion of the immune response and could affect treatment outcome. The aim of the study was to analyze the impact of HVR1 heterogeneity employing sensitive ultra-deep sequencing, on the outcome of PEG-IFN-α (pegylated interferon α) and ribavirin treatment. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 28% |
| Researcher | 7 | 24% |
| Student > Master | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Professor | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 31% |
| Agricultural and Biological Sciences | 7 | 24% |
| Medicine and Dentistry | 5 | 17% |
| Immunology and Microbiology | 3 | 10% |
| Chemical Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 4 | 14% |
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 02 August 2014.
All research outputs
#15,302,478
of 22,758,248 outputs
Outputs from BMC Infectious Diseases
#4,449
of 7,664 outputs
Outputs of similar age
#131,610
of 226,376 outputs
Outputs of similar age from BMC Infectious Diseases
#100
of 153 outputs
Altmetric has tracked 22,758,248 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 7,664 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 33rd percentile – i.e., 33% 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 226,376 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.