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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Isolation of Glioblastoma Stem Cells with Flow Cytometry
|
|---|---|
| Chapter number | 5 |
| Book title |
Glioblastoma
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7659-1_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7658-4, 978-1-4939-7659-1
|
| Authors |
Julio Inocencio, Joshua D. Frenster, Dimitris G. Placantonakis |
| Abstract |
This chapter describes a straightforward method for isolating glioblastoma stem cells (GSCs) from in vitro tissue cultures via fluorescence-activated cell sorting (FACS) using CD133 as a surface marker. The use of a directly conjugated antibody to an APC fluorophore against the CD133 molecule provides sufficient and clear detection of positive cells from the rest of the population. This strategy avoids an unnecessary secondary antibody incubation step thereby minimizing loss and increasing yield. The same protocol can be applied to other GSC surface markers. The described method allows for quick and efficient purification of GSCs, which can then be used in several downstream applications. |
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 % |
|---|---|---|
| Portugal | 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 25% |
| Student > Ph. D. Student | 3 | 19% |
| Student > Postgraduate | 2 | 13% |
| Student > Bachelor | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Agricultural and Biological Sciences | 2 | 13% |
| Immunology and Microbiology | 2 | 13% |
| Neuroscience | 2 | 13% |
| Medicine and Dentistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 38% |
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 04 February 2018.
All research outputs
#15,490,822
of 23,020,670 outputs
Outputs from Methods in molecular biology
#5,388
of 13,166 outputs
Outputs of similar age
#269,787
of 442,361 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,498 outputs
Altmetric has tracked 23,020,670 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 13,166 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 442,361 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.