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Attention Score in Context
Chapter title |
Highly Efficient Neural Differentiation of CD34-Positive Hair-Follicle-Associated Pluripotent Stem Cells Induced by Retinoic Acid and Serum-Free Medium.
|
---|---|
Chapter number | 17 |
Book title |
Multipotent Stem Cells of the Hair Follicle
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Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3786-8_17 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3784-4, 978-1-4939-3786-8
|
Authors |
Mohsen Sagha, Nowruz Najafzadeh |
Editors |
Robert M Hoffman |
Abstract |
Neural differentiation of hair-follicle-associated pluripotent (HAP) stem cells residing in the bulge area is a promising autologous source for stem cell therapy. In the present chapter, we describe the identification and enrichment of CD34(+) HAP stem cells by magnetic-activated cell sorting (MACS), and induce them to differentiate into neuronal and glial cells using defined neural-induction media. The different neural cell populations arising during in vitro differentiation from HAP stem cells are characterized by reverse transcription polymerase chain reaction (RT-PCR) and immunocytochemistry assay. |
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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 3 | 33% |
Student > Master | 2 | 22% |
Student > Ph. D. Student | 1 | 11% |
Unknown | 3 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 22% |
Chemical Engineering | 1 | 11% |
Nursing and Health Professions | 1 | 11% |
Medicine and Dentistry | 1 | 11% |
Neuroscience | 1 | 11% |
Other | 0 | 0% |
Unknown | 3 | 33% |
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 13 January 2018.
All research outputs
#15,380,359
of 22,881,154 outputs
Outputs from Methods in molecular biology
#5,350
of 13,133 outputs
Outputs of similar age
#230,984
of 393,699 outputs
Outputs of similar age from Methods in molecular biology
#545
of 1,471 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,133 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 393,699 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.