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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
The Functional Assessment of T cells
|
|---|---|
| Chapter number | 19 |
| Book title |
Rheumatoid Arthritis
|
| Published in |
Methods in molecular biology, September 2018
|
| DOI | 10.1007/978-1-4939-8802-0_19 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8801-3, 978-1-4939-8802-0
|
| Authors |
Saho Maruyama, Maruyama, Saho |
| Abstract |
It is important to know what kind of T cell populations is involved in various disease states and to know the state of T cell functions involved in the disease. When T cell antigen receptors (TCR) recognize a specific antigen, the cell transmits a signal by a transduction mechanism within the T cell's cytoplasm. This signal initiates gene transcription essential for differentiation and activation of T cells. In this chapter, we will describe the methods of analyzing the transcribed mRNA and detecting the translated product in order to know the activation state of T cells. |
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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 20% |
| Professor > Associate Professor | 1 | 20% |
| Unknown | 3 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 1 | 20% |
| Neuroscience | 1 | 20% |
| Unknown | 3 | 60% |
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 29 May 2019.
All research outputs
#20,533,782
of 23,103,903 outputs
Outputs from Methods in molecular biology
#9,985
of 13,222 outputs
Outputs of similar age
#296,454
of 341,009 outputs
Outputs of similar age from Methods in molecular biology
#176
of 235 outputs
Altmetric has tracked 23,103,903 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 13,222 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 341,009 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 235 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.