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Mendeley readers
Attention Score in Context
Chapter title |
Patient-Specific Induced Pluripotent Stem Cell Models
|
---|---|
Chapter number | 225 |
Book title |
Patient-Specific Induced Pluripotent Stem Cell Models
|
Published in |
Methods in molecular biology, July 2015
|
DOI | 10.1007/7651_2015_225 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3033-3, 978-1-4939-3034-0
|
Authors |
Li, Yao, Nguyen, Huy V, Tsang, Stephen H, Yao Li, Huy V. Nguyen, Stephen H. Tsang |
Editors |
Andras Nagy, Kursad Turksen |
Abstract |
The generation of patient-specific induced pluripotent stem (iPS) cells permits the development of next-generation patient-specific systems biology models reflecting personalized genomics profiles to better understand pathophysiology. In this chapter, we describe how to create a patient-specific iPS cell line. There are three major steps: (1) performing a skin biopsy procedure on the patient; (2) extracting human fibroblast cells from the skin biopsy tissue; and (3) reprogramming patient-specific fibroblast cells into the pluripotent stem cell stage. |
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 % |
---|---|---|
Australia | 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 3% |
Unknown | 35 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 7 | 19% |
Researcher | 5 | 14% |
Student > Master | 4 | 11% |
Student > Ph. D. Student | 4 | 11% |
Unspecified | 2 | 6% |
Other | 2 | 6% |
Unknown | 12 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 12 | 33% |
Medicine and Dentistry | 4 | 11% |
Unspecified | 2 | 6% |
Neuroscience | 2 | 6% |
Agricultural and Biological Sciences | 1 | 3% |
Other | 5 | 14% |
Unknown | 10 | 28% |
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 10 July 2016.
All research outputs
#18,465,704
of 22,880,230 outputs
Outputs from Methods in molecular biology
#7,924
of 13,132 outputs
Outputs of similar age
#188,931
of 262,839 outputs
Outputs of similar age from Methods in molecular biology
#16
of 27 outputs
Altmetric has tracked 22,880,230 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 13,132 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 262,839 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.