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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
AOM/DSS Model of Colitis-Associated Cancer.
|
|---|---|
| Chapter number | 26 |
| Book title |
Gastrointestinal Physiology and Diseases
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3603-8_26 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3601-4, 978-1-4939-3603-8
|
| Authors |
Bobak Parang, Caitlyn W. Barrett, Christopher S. Williams M.D., Ph.D., Caitlyn W. Barret, Christopher S. Williams |
| Editors |
Andrei I. Ivanov |
| Abstract |
Our understanding of colitis-associated carcinoma (CAC) has benefited substantially from mouse models that faithfully recapitulate human CAC. Chemical models, in particular, have enabled fast and efficient analysis of genetic and environmental modulators of CAC without the added requirement of time-intensive genetic crossings. Here we describe the Azoxymethane (AOM)/Dextran Sodium Sulfate (DSS) mouse model of inflammatory colorectal cancer. |
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 247 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 247 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 19% |
| Student > Bachelor | 33 | 13% |
| Student > Master | 29 | 12% |
| Researcher | 27 | 11% |
| Student > Doctoral Student | 8 | 3% |
| Other | 22 | 9% |
| Unknown | 82 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 67 | 27% |
| Immunology and Microbiology | 24 | 10% |
| Agricultural and Biological Sciences | 23 | 9% |
| Medicine and Dentistry | 20 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 2% |
| Other | 19 | 8% |
| Unknown | 88 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 2019.
All research outputs
#2,475,269
of 22,903,988 outputs
Outputs from Methods in molecular biology
#456
of 13,132 outputs
Outputs of similar age
#44,964
of 393,788 outputs
Outputs of similar age from Methods in molecular biology
#65
of 1,471 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 96% of its peers.
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 393,788 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.