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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
How to Assess Drug Resistance in Cancer Stem Cells
|
|---|---|
| Chapter number | 10 |
| Book title |
Cancer Stem Cells
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7401-6_10 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7400-9, 978-1-4939-7401-6
|
| Authors |
Maria Laura De Angelis, Ruggero De Maria, Marta Baiocchi |
| Abstract |
Banks of genetically characterized cancer stem cells (CSCs) isolated from individual patients and grown as spheroids offer an invaluable approach to identify genetic determinants of drug resistance versus sensitivity, and to study new stem cell-directed therapies. Here, we describe our standardized procedure for in vitro drug screening on colorectal CSCs, taking irinotecan as an example. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 22% |
| Researcher | 2 | 22% |
| Student > Bachelor | 1 | 11% |
| Other | 1 | 11% |
| Student > Doctoral Student | 1 | 11% |
| Other | 1 | 11% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 56% |
| Biochemistry, Genetics and Molecular Biology | 1 | 11% |
| Neuroscience | 1 | 11% |
| Agricultural and Biological Sciences | 1 | 11% |
| Unknown | 1 | 11% |
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 21 November 2017.
All research outputs
#15,481,147
of 23,005,189 outputs
Outputs from Methods in molecular biology
#5,386
of 13,159 outputs
Outputs of similar age
#269,666
of 442,254 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,498 outputs
Altmetric has tracked 23,005,189 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 13,159 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 442,254 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.