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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Standardization of human stem cell pluripotency using bioinformatics
|
|---|---|
| Published in |
Stem Cell Research & Therapy, April 2013
|
| DOI | 10.1186/scrt185 |
| Pubmed ID | |
| Authors |
Michael W Nestor, Scott A Noggle |
| Abstract |
The study of cell differentiation, embryonic development, and personalized regenerative medicine are all possible through the use of human stem cells. The propensity for these cells to differentiate into all three germ layers of the body with the potential to generate any cell type opens a number of promising avenues for studying human development and disease. One major hurdle to the development of high-throughput production of human stem cells for use in regenerative medicine has been standardization of pluripotency assays. In this review we discuss technologies currently being deployed to produce standardized, high-quality stem cells that can be scaled for high-throughput derivation and screening in regenerative medicine applications. We focus on assays for pluripotency using bioinformatics and gene expression profiling. We review a number of approaches that promise to improve unbiased prediction of utility of both human induced pluripotent stem cells and embryonic stem 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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 31 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 22% |
| Researcher | 5 | 16% |
| Professor > Associate Professor | 4 | 13% |
| Student > Master | 4 | 13% |
| Student > Bachelor | 3 | 9% |
| Other | 7 | 22% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 47% |
| Biochemistry, Genetics and Molecular Biology | 7 | 22% |
| Neuroscience | 3 | 9% |
| Medicine and Dentistry | 3 | 9% |
| Computer Science | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 1 | 3% |
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 23 May 2013.
All research outputs
#18,339,860
of 22,711,242 outputs
Outputs from Stem Cell Research & Therapy
#1,719
of 2,410 outputs
Outputs of similar age
#146,142
of 194,112 outputs
Outputs of similar age from Stem Cell Research & Therapy
#19
of 23 outputs
Altmetric has tracked 22,711,242 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 2,410 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 15th percentile – i.e., 15% 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 194,112 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.