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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inherent transcriptional signatures of NK cells are associated with response to IFNα + rivabirin therapy in patients with Hepatitis C Virus
|
|---|---|
| Published in |
Journal of Translational Medicine, January 2015
|
| DOI | 10.1186/s12967-015-0428-x |
| Pubmed ID | |
| Authors |
Maria Ascierto, Federica Bozzano, Davide Bedognetti, Francesco Marras, Cathy Schechterly, Kentaro Matsuura, Antonino Picciotto, Simona Marenco, Yingdong Zhao, Valeria DeGiorgi, Michele Sommariva, Lorenzo Moretta, Ena Wang, Harvey J Alter, Francesco M Marincola, Andrea De Maria |
| Abstract |
Differences in the expression of Natural Killer cell receptors have been reported to reflect divergent clinical courses in patients with chronic infections or tumors. However, extensive molecular characterization at the transcriptional level to support this view is lacking. The aim of this work was to characterize baseline differences in purified NK cell transcriptional activity stratified by response to treatment with PEG-IFNα/RBV in patients chronically infected with HCV. |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 5% |
| Unknown | 20 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 33% |
| Student > Ph. D. Student | 4 | 19% |
| Student > Master | 2 | 10% |
| Other | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 4 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 33% |
| Agricultural and Biological Sciences | 5 | 24% |
| Immunology and Microbiology | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 24% |
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 08 April 2015.
All research outputs
#17,749,774
of 22,793,427 outputs
Outputs from Journal of Translational Medicine
#2,736
of 3,988 outputs
Outputs of similar age
#241,776
of 353,009 outputs
Outputs of similar age from Journal of Translational Medicine
#101
of 140 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,988 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 26th percentile – i.e., 26% 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 353,009 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.