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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Baseline immune profile by CyTOF can predict response to an investigational adjuvanted vaccine in elderly adults
|
|---|---|
| Published in |
Journal of Translational Medicine, June 2018
|
| DOI | 10.1186/s12967-018-1528-1 |
| Pubmed ID | |
| Authors |
Christine M. D. Lingblom, Sangeeta Kowli, Nithya Swaminathan, Holden T. Maecker, Stacie L. Lambert |
| Abstract |
Mass cytometry, or CyTOF (Cytometry by Time-of-Flight), permits the simultaneous detection of over 40 phenotypic and functional immune markers in individual cells without the issues of spectral overlap seen in traditional flow cytometry. In this study, we applied CyTOF to comprehensively characterize the circulating immune cell populations in elderly individuals both before and after administration of an investigational adjuvanted protein vaccine against respiratory syncytial virus (RSV) in a Phase 1a trial. Antigen-specific T cell responses to RSV by IFNγ ELISPOT had been observed in most but not all recipients in the highest dose cohort in this trial. Here, CyTOF was used to characterize the cellular response profile of ELISPOT responders and non-responders in this vaccine dose cohort. Both CD4+ and CD8+ T cell antigen-specific IFNγ responses were observed. Principal components analysis revealed baseline differences between responders and non-responders, including differences in activated (HLA-DR+) CD4+ and CD8+ T cells, which were higher in non-responders versus responders. Using viSNE to analyze RSV-responsive CD4+ and CD8+ T cells, we also found increased expression of HLA-DR, CCR7, CD127 and CD69 in non-responders versus responders. High parameter CyTOF can help profile immune components associated with differential vaccine responsiveness. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 20% |
| United States | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 18% |
| Student > Master | 6 | 14% |
| Other | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Student > Ph. D. Student | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 16 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 13 | 30% |
| Agricultural and Biological Sciences | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Medicine and Dentistry | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 16 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 27 February 2020.
All research outputs
#2,693,992
of 23,088,369 outputs
Outputs from Journal of Translational Medicine
#428
of 4,051 outputs
Outputs of similar age
#57,533
of 329,782 outputs
Outputs of similar age from Journal of Translational Medicine
#5
of 98 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,051 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 89% 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 329,782 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 98 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 93% of its contemporaries.