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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, January 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
20 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, January 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.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 35%
Student > Ph. D. Student 5 25%
Student > Bachelor 2 10%
Professor 1 5%
Student > Doctoral Student 1 5%
Other 4 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 25%
Biochemistry, Genetics and Molecular Biology 3 15%
Medicine and Dentistry 3 15%
Immunology and Microbiology 3 15%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Other 4 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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
#1,986,278
of 4,507,509 outputs
Outputs from Journal of Translational Medicine
#383
of 1,265 outputs
Outputs of similar age
#43,047
of 107,963 outputs
Outputs of similar age from Journal of Translational Medicine
#29
of 88 outputs
Altmetric has tracked 4,507,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 53rd percentile.
So far Altmetric has tracked 1,265 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 64% 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 107,963 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.