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A Modular Cytokine Analysis Method Reveals Novel Associations With Clinical Phenotypes and Identifies Sets of Co-signaling Cytokines Across Influenza Natural Infection Cohorts and Healthy Controls

Overview of attention for article published in Frontiers in immunology, June 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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4 X users

Citations

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28 Dimensions

Readers on

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78 Mendeley
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Title
A Modular Cytokine Analysis Method Reveals Novel Associations With Clinical Phenotypes and Identifies Sets of Co-signaling Cytokines Across Influenza Natural Infection Cohorts and Healthy Controls
Published in
Frontiers in immunology, June 2019
DOI 10.3389/fimmu.2019.01338
Pubmed ID
Authors

Liel Cohen, Andrew Fiore-Gartland, Adrienne G. Randolph, Angela Panoskaltsis-Mortari, Sook-San Wong, Jacqui Ralston, Timothy Wood, Ruth Seeds, Q. Sue Huang, Richard J. Webby, Paul G. Thomas, Tomer Hertz

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 18%
Student > Ph. D. Student 12 15%
Student > Master 10 13%
Student > Bachelor 6 8%
Student > Doctoral Student 5 6%
Other 14 18%
Unknown 17 22%
Readers by discipline Count As %
Immunology and Microbiology 14 18%
Medicine and Dentistry 12 15%
Biochemistry, Genetics and Molecular Biology 11 14%
Agricultural and Biological Sciences 6 8%
Computer Science 2 3%
Other 11 14%
Unknown 22 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 June 2019.
All research outputs
#15,054,279
of 26,587,745 outputs
Outputs from Frontiers in immunology
#12,226
of 33,408 outputs
Outputs of similar age
#176,618
of 371,190 outputs
Outputs of similar age from Frontiers in immunology
#339
of 673 outputs
Altmetric has tracked 26,587,745 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,408 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has gotten more attention than average, scoring higher than 62% 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 371,190 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 51% of its contemporaries.
We're also able to compare this research output to 673 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.