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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Quantifying Helper Cell Function of Human TFH Cells In Vitro.
|
|---|---|
| Chapter number | 18 |
| Book title |
T follicular Helper Cells
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-2498-1_18 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2497-4, 978-1-4939-2498-1
|
| Authors |
Chevalier, Nina, Nina Chevalier |
| Editors |
Marion Espéli, Michelle Linterman |
| Abstract |
Blood-circulating CXCR5(+) CD4(+) T cells and T follicular helper (TFH) cells, which participate in germinal center (GC) reactions within secondary lymphoid organs, are specialized in providing help to B cells. This chapter describes ways to isolate TFH-like cells out of peripheral blood or tonsils and to quantify their B cell helper function. This comprises different co-culture approaches of TFH-like cells and B cells and the evaluation of their capacity to induce immunoglobulin secretion and plasma cell differentiation. In addition, B cell helper function of CD4 T cells can be estimated indirectly by quantifying the expression of B cell helper cytokines and co-stimulatory and TFH-associated molecules. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 28% |
| Researcher | 5 | 28% |
| Student > Doctoral Student | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Other | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 3 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 5 | 28% |
| Medicine and Dentistry | 3 | 17% |
| Agricultural and Biological Sciences | 3 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 December 2015.
All research outputs
#20,299,108
of 22,836,570 outputs
Outputs from Methods in molecular biology
#9,914
of 13,126 outputs
Outputs of similar age
#295,920
of 353,204 outputs
Outputs of similar age from Methods in molecular biology
#636
of 997 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,126 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 353,204 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 997 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.