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High-dimensional analysis of the aging immune system: Verification of age-associated differences in immune signaling responses in healthy donors

Overview of attention for article published in Journal of Translational Medicine, June 2014
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2 X users

Citations

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22 Mendeley
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Title
High-dimensional analysis of the aging immune system: Verification of age-associated differences in immune signaling responses in healthy donors
Published in
Journal of Translational Medicine, June 2014
DOI 10.1186/1479-5876-12-178
Pubmed ID
Authors

Diane M Longo, Brent Louie, Jason Ptacek, Greg Friedland, Erik Evensen, Santosh Putta, Michelle Atallah, David Spellmeyer, Ena Wang, Zoltan Pos, Francesco M Marincola, Andrea Schaeffer, Suzanne Lukac, Radha Railkar, Chan R Beals, Alessandra Cesano, Leonidas N Carayannopoulos, Rachael E Hawtin

Abstract

Single-cell network profiling (SCNP) is a multiparametric flow cytometry-based approach that simultaneously measures evoked signaling in multiple cell subsets. Previously, using the SCNP approach, age-associated immune signaling responses were identified in a cohort of 60 healthy donors.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 32%
Researcher 6 27%
Student > Doctoral Student 2 9%
Student > Bachelor 2 9%
Professor 1 5%
Other 3 14%
Unknown 1 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 27%
Biochemistry, Genetics and Molecular Biology 3 14%
Medicine and Dentistry 3 14%
Immunology and Microbiology 3 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 9%
Other 3 14%
Unknown 2 9%
Attention Score in Context

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 22 June 2014.
All research outputs
#17,722,431
of 22,757,541 outputs
Outputs from Journal of Translational Medicine
#2,735
of 3,978 outputs
Outputs of similar age
#155,880
of 228,424 outputs
Outputs of similar age from Journal of Translational Medicine
#33
of 65 outputs
Altmetric has tracked 22,757,541 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 3,978 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 228,424 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.