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Aging effects on T-bet expression in human B cell subsets

Overview of attention for article published in Cellular Immunology, April 2017
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  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Article details
Title
Aging effects on T-bet expression in human B cell subsets
Published in
Cellular Immunology, April 2017
DOI 10.1016/j.cellimm.2017.04.007
Pubmed ID
Authors
Abstract

In order to compare human and mouse B cell subset markers, we evaluated T-bet expression in human B cell subsets from individuals of different ages. We found T-bet expressed in unstimulated memory more than naïve B cells, and more in young individuals. TLR7 stimulation up-regulated T-bet in all B cell subsets from young and elderly individuals, and more in the elderly. By fold-increase the best effect was seen in subsets of the elderly and especially in those that undergo class switch (naïve and IgM). We also evaluated CD11c expression, as T-bet+CD11c+ B cells are expanded in healthy elderly individuals and also in patients with autoimmunity. Similar to T-bet, CD11c expression was higher in memory than in naïve B cells, but no differences were observed between young and elderly individuals. After TLR7 stimulation, CD11c increases in all B cell subsets (especially in naïve and IgM) from the elderly.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 9 20%
Student > Ph. D. Student 9 20%
Researcher 4 9%
Student > Doctoral Student 3 7%
Student > Postgraduate 3 7%
Other 4 9%
Unknown 12 27%
Readers by discipline
Readers by discipline Count As %
Immunology and Microbiology 13 30%
Medicine and Dentistry 6 14%
Biochemistry, Genetics and Molecular Biology 5 11%
Agricultural and Biological Sciences 5 11%
Physics and Astronomy 1 2%
Other 1 2%
Unknown 13 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 27 March 2020.
All research outputs
#10,938,970
of 33,503,639 outputs
Outputs from Cellular Immunology
#744
of 2,536 outputs
Outputs of similar age
#128,241
of 350,220 outputs
Outputs of similar age from Cellular Immunology
#7
of 21 outputs
Altmetric has tracked 33,503,639 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 2,536 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 69% 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 350,220 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 61% of its contemporaries.
We're also able to compare this research output to 21 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 61% of its contemporaries.