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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Determination of Autophagy in the Caco-2 Spontaneously Differentiating Model of Intestinal Epithelial Cells
|
|---|---|
| Chapter number | 66 |
| Book title |
Methods in Molecular Biology
|
| Published in |
Methods in molecular biology, August 2017
|
| DOI | 10.1007/7651_2017_66 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8747-4, 978-1-4939-8748-1
|
| Authors |
Tunçer, Sinem, Banerjee, Sreeparna, Sinem Tunçer, Sreeparna Banerjee |
| Abstract |
The Caco-2 colorectal cancer cell line is widely used as a model for intestinal differentiation and barrier function. These cells, upon reaching confluency, spontaneously differentiate into enterocyte-like cells, synthesize intestinal enzymes, and form domes. Caco-2 cells also undergo autophagy in the course of differentiation. The criteria to establish the induction of autophagy in cells are already well established. Here, we describe the protocol for the spontaneous differentiation of Caco-2 cells and the detection of autophagy using Western blot, flow cytometry, and immunofluorescence. |
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 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 | 5 | 31% |
| Student > Doctoral Student | 2 | 13% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 38% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 31% |
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 27 August 2017.
All research outputs
#20,444,703
of 22,999,744 outputs
Outputs from Methods in molecular biology
#9,934
of 13,151 outputs
Outputs of similar age
#276,343
of 316,520 outputs
Outputs of similar age from Methods in molecular biology
#76
of 108 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,151 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 316,520 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.