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Differential Effects of Environmental and Genetic Factors on T and B Cell Immune Traits

Overview of attention for article published in Cell Reports, November 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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6 news outlets
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24 X users

Citations

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149 Dimensions

Readers on

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222 Mendeley
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Title
Differential Effects of Environmental and Genetic Factors on T and B Cell Immune Traits
Published in
Cell Reports, November 2016
DOI 10.1016/j.celrep.2016.10.053
Pubmed ID
Authors

Raul Aguirre-Gamboa, Irma Joosten, Paulo C.M. Urbano, Renate G. van der Molen, Esther van Rijssen, Bram van Cranenbroek, Marije Oosting, Sanne Smeekens, Martin Jaeger, Maria Zorro, Sebo Withoff, Antonius E. van Herwaarden, Fred C.G.J. Sweep, Romana T. Netea, Morris A. Swertz, Lude Franke, Ramnik J. Xavier, Leo A.B. Joosten, Mihai G. Netea, Cisca Wijmenga, Vinod Kumar, Yang Li, Hans J.P.M. Koenen

Abstract

Effective immunity requires a complex network of cellular and humoral components that interact with each other and are influenced by different environmental and host factors. We used a systems biology approach to comprehensively assess the impact of environmental and genetic factors on immune cell populations in peripheral blood, including associations with immunoglobulin concentrations, from ∼500 healthy volunteers from the Human Functional Genomics Project. Genetic heritability estimation showed that variations in T cell numbers are more strongly driven by genetic factors, while B cell counts are more environmentally influenced. Quantitative trait loci (QTL) mapping identified eight independent genomic loci associated with leukocyte count variation, including four associations with T and B cell subtypes. The QTLs identified were enriched among genome-wide association study (GWAS) SNPs reported to increase susceptibility to immune-mediated diseases. Our systems approach provides insights into cellular and humoral immune trait variability in humans.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 1%
Spain 2 <1%
Netherlands 1 <1%
Mexico 1 <1%
United States 1 <1%
Unknown 214 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 26%
Researcher 40 18%
Student > Master 19 9%
Student > Bachelor 16 7%
Student > Doctoral Student 13 6%
Other 32 14%
Unknown 44 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 49 22%
Immunology and Microbiology 35 16%
Agricultural and Biological Sciences 34 15%
Medicine and Dentistry 25 11%
Neuroscience 7 3%
Other 14 6%
Unknown 58 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 53. 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 November 2020.
All research outputs
#807,236
of 26,017,215 outputs
Outputs from Cell Reports
#1,846
of 13,189 outputs
Outputs of similar age
#15,178
of 321,997 outputs
Outputs of similar age from Cell Reports
#42
of 257 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,189 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one has done well, scoring higher than 85% 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 321,997 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.