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The cytokine profile of human NKT cells and PBMCs is dependent on donor sex and stimulus

Overview of attention for article published in Medical Microbiology and Immunology, February 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#35 of 638)
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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1 news outlet
twitter
4 X users
patent
1 patent

Citations

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39 Dimensions

Readers on

mendeley
54 Mendeley
Title
The cytokine profile of human NKT cells and PBMCs is dependent on donor sex and stimulus
Published in
Medical Microbiology and Immunology, February 2016
DOI 10.1007/s00430-016-0449-y
Pubmed ID
Authors

Hannah Bernin, Helena Fehling, Claudia Marggraff, Egbert Tannich, Hannelore Lotter

Abstract

Sex-related variations in natural killer T (NKT) cells may influence immunoregulation and outcome of infectious and autoimmune diseases. We analyzed sex-specific differences in peripheral blood NKTs and peripheral blood mononuclear cells (PBMCs) from men and women and determined the frequencies of NKT cells and their subpopulations [CD4(+); CD8(+); double negative (DN)] and the levels of cytokine production following stimulation with the NKT cell ligands α-Galactosylceramide (αGalCer) and Entamoeba histolytica lipopeptidephosphoglycan (Lotter et al. in PLoS Pathog 5(5):e1000434, 2009). Total and DN NKT cells were more abundant in women than in men. In women, αGalCer induced higher production of intracellular IFNγ, IL-4, IL-17 and TNF by CD4(+) and DN(+)NKT cells. Both ligands induced expression of multiple cytokines in PBMCs and influenced the ratio of NKT cell subpopulations during long-term culture. Although the sex-specific differences in frequencies of NKT cells and their subpopulations were marginal, the significant sex-specific differences in cytokine production might influence disease outcomes.

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 24%
Student > Doctoral Student 6 11%
Student > Master 6 11%
Student > Bachelor 5 9%
Student > Postgraduate 4 7%
Other 8 15%
Unknown 12 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 17%
Agricultural and Biological Sciences 9 17%
Immunology and Microbiology 9 17%
Medicine and Dentistry 8 15%
Nursing and Health Professions 2 4%
Other 5 9%
Unknown 12 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 20 September 2022.
All research outputs
#3,113,855
of 24,469,913 outputs
Outputs from Medical Microbiology and Immunology
#35
of 638 outputs
Outputs of similar age
#47,634
of 303,012 outputs
Outputs of similar age from Medical Microbiology and Immunology
#2
of 6 outputs
Altmetric has tracked 24,469,913 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 638 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 94% 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 303,012 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 84% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.