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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Use of Organoids to Characterize Signaling Pathways in Cancer Initiation
|
|---|---|
| Chapter number | 21 |
| Book title |
Colorectal Cancer
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7765-9_21 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7764-2, 978-1-4939-7765-9
|
| Authors |
Christina Oatway, Calley L. Hirsch, Alex Gregorieff |
| Abstract |
The development of intestinal organoid technology has greatly accelerated research in the field of colorectal cancer. Contrary to traditional cancer cell lines, organoids are composed of multiple cell types arranged in 3D structures highly reminiscent of their native tissues. Thus, organoids provide a near-physiological and readily accessible model to study tissue morphogenesis, adult stem cell behavior and tumorigenesis. Here, we provide protocols for establishing intestinal organoid cultures from genetically modified mouse lines and describe methods to overexpress and knockout genes of interest using lentiviral-based approaches. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 16% |
| Student > Bachelor | 2 | 11% |
| Student > Master | 2 | 11% |
| Other | 1 | 5% |
| Student > Ph. D. Student | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 7 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 37% |
| Agricultural and Biological Sciences | 2 | 11% |
| Unspecified | 1 | 5% |
| Chemistry | 1 | 5% |
| Unknown | 8 | 42% |
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 29 March 2018.
All research outputs
#15,498,204
of 23,031,582 outputs
Outputs from Methods in molecular biology
#5,391
of 13,177 outputs
Outputs of similar age
#269,827
of 442,391 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,499 outputs
Altmetric has tracked 23,031,582 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 13,177 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 442,391 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 1,499 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.