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Mendeley readers
Attention Score in Context
| Title |
Determination of Somatic and Cancer Stem Cell Self-Renewing Symmetric Division Rate Using Sphere Assays
|
|---|---|
| Published in |
PLOS ONE, January 2011
|
| DOI | 10.1371/journal.pone.0015844 |
| Pubmed ID | |
| Authors |
Loic P. Deleyrolle, Geoffery Ericksson, Brian J. Morrison, J. Alejandro Lopez, Kevin Burrage, Pamela Burrage, Angelo Vescovi, Rodney L. Rietze, Brent A. Reynolds |
| Abstract |
Representing a renewable source for cell replacement, neural stem cells have received substantial attention in recent years. The neurosphere assay represents a method to detect the presence of neural stem cells, however owing to a deficiency of specific and definitive markers to identify them, their quantification and the rate they expand is still indefinite. Here we propose a mathematical interpretation of the neurosphere assay allowing actual measurement of neural stem cell symmetric division frequency. The algorithm of the modeling demonstrates a direct correlation between the overall cell fold expansion over time measured in the sphere assay and the rate stem cells expand via symmetric division. The model offers a methodology to evaluate specifically the effect of diseases and treatments on neural stem cell activity and function. Not only providing new insights in the evaluation of the kinetic features of neural stem cells, our modeling further contemplates cancer biology as cancer stem-like cells have been suggested to maintain tumor growth as somatic stem cells maintain tissue homeostasis. Indeed, tumor stem cell's resistance to therapy makes these cells a necessary target for effective treatment. The neurosphere assay mathematical model presented here allows the assessment of the rate malignant stem-like cells expand via symmetric division and the evaluation of the effects of therapeutics on the self-renewal and proliferative activity of this clinically relevant population that drive tumor growth and recurrence. |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 5% |
| Portugal | 2 | 2% |
| Australia | 1 | 1% |
| Germany | 1 | 1% |
| Spain | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 72 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 22% |
| Researcher | 16 | 20% |
| Student > Bachelor | 10 | 12% |
| Student > Master | 8 | 10% |
| Professor > Associate Professor | 7 | 9% |
| Other | 12 | 15% |
| Unknown | 11 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 50% |
| Medicine and Dentistry | 12 | 15% |
| Biochemistry, Genetics and Molecular Biology | 10 | 12% |
| Neuroscience | 4 | 5% |
| Psychology | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 11 | 13% |
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 19 October 2014.
All research outputs
#18,380,628
of 22,766,595 outputs
Outputs from PLOS ONE
#154,426
of 194,210 outputs
Outputs of similar age
#160,235
of 180,677 outputs
Outputs of similar age from PLOS ONE
#1,003
of 1,148 outputs
Altmetric has tracked 22,766,595 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 194,210 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 10th percentile – i.e., 10% 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 180,677 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,148 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.