Article
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Attention Score in Context
| Chapter title |
A Sensitive and Integrated Approach to Profile Messenger RNA from Samples with Low Cell Numbers
|
|---|---|
| Book title |
Type 2 Immunity
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7896-0_21 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7895-3, 978-1-4939-7896-0
|
| Authors |
Sandy Lisette Rosales, Shu Liang, Isaac Engel, Benjamin Joachim Schmiedel, Mitchell Kronenberg, Pandurangan Vijayanand, Grégory Seumois |
| Abstract |
Transcriptomic profiling by RNA sequencing (RNA-Seq) represents the preferred approach to measure genome-wide gene expression for understanding cellular function, tissue development, disease pathogenesis, as well as to identify potential biomarkers and therapeutic targets. For samples with small cell numbers, multiple methods have been described to increase the efficiency of library preparation and to reduce hands-on time and costs. This chapter reviews our approach, which combines flow cytometry and the most recent high-resolution techniques to perform RNA-Seq for samples with low cell numbers as well as for single-cell samples. Our approach reduces technical variability while increasing sensitivity and efficiency. Thus, it is well-suited for large-scale gene expression profiling studies with limited samples for basic and clinical studies. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 24% |
| Other | 4 | 14% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Professor | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 17% |
| Agricultural and Biological Sciences | 3 | 10% |
| Medicine and Dentistry | 3 | 10% |
| Immunology and Microbiology | 2 | 7% |
| Chemistry | 2 | 7% |
| Other | 1 | 3% |
| Unknown | 13 | 45% |
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 30 June 2018.
All research outputs
#18,640,437
of 23,092,602 outputs
Outputs from Methods in molecular biology
#7,988
of 13,207 outputs
Outputs of similar age
#330,857
of 442,643 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,499 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,207 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 442,643 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.