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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Isolation and Culture of Neural Crest Stem Cells from Human Hair Follicles.
|
|---|---|
| Chapter number | 7 |
| Book title |
Multipotent Stem Cells of the Hair Follicle
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3786-8_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3784-4, 978-1-4939-3786-8
|
| Authors |
Ruifeng Yang, Xiaowei Xu M.D., Ph.D., Xiaowei Xu |
| Editors |
Robert M Hoffman |
| Abstract |
The hair follicle undergoes lifelong cycling and growth. Previous studies have been focused on epithelial stem cells in the hair follicles. Neural crest stem cells (NCSCs) are pluripotent cells that can persist in adult tissues. We have previously demonstrated that human NCSCs can be isolated from hair follicles. Here, we present a protocol to isolate NCSCs from human hair follicles based on their specific surface-marker expression of CD271/HNK1 or CD271/CD49D (alpha4 integrin). NCSCs can be expanded in the culture as neural spheres or attached 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 % |
|---|---|---|
| United States | 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 30% |
| Researcher | 2 | 20% |
| Student > Doctoral Student | 1 | 10% |
| Student > Ph. D. Student | 1 | 10% |
| Student > Bachelor | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 30% |
| Engineering | 2 | 20% |
| Biochemistry, Genetics and Molecular Biology | 2 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 10% |
| Unknown | 2 | 20% |
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 05 August 2016.
All research outputs
#18,466,238
of 22,881,154 outputs
Outputs from Methods in molecular biology
#7,924
of 13,133 outputs
Outputs of similar age
#284,559
of 393,699 outputs
Outputs of similar age from Methods in molecular biology
#845
of 1,471 outputs
Altmetric has tracked 22,881,154 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 13,133 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 393,699 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% 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 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.