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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Analysis of human blood memory T follicular helper subsets.
|
|---|---|
| Chapter number | 16 |
| Book title |
T follicular Helper Cells
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-2498-1_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2497-4, 978-1-4939-2498-1
|
| Authors |
Bentebibel, Salah-Eddine, Jacquemin, Clement, Schmitt, Nathalie, Ueno, Hideki, Salah-Eddine Bentebibel, Clement Jacquemin, Nathalie Schmitt, Hideki Ueno |
| Editors |
Marion Espéli, Michelle Linterman |
| Abstract |
Human blood contains a memory counterpart of T follicular helper (TFH) cells. Blood TFH cells are composed of subsets that differ in phenotype and function. Recent studies show that analysis of blood circulating memory TFH cells can provide clues to understand the mode of actions of vaccines and the pathogenesis of human autoimmune diseases. We will describe here a detailed protocol to analyze the memory TFH subsets in human whole blood samples. We will also describe a protocol to assess the helper capacity of blood memory TFH subsets. |
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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 33% |
| Student > Bachelor | 3 | 25% |
| Professor | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Researcher | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 25% |
| Medicine and Dentistry | 3 | 25% |
| Immunology and Microbiology | 2 | 17% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 2 | 17% |
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.