| Title |
Animal models of ulcerative colitis and their application in drug research
|
|---|---|
| Published in |
Drug Design, Development and Therapy, November 2013
|
| DOI | 10.2147/dddt.s40107 |
| Pubmed ID | |
| Authors |
Daren Low, Deanna D Nguyen, Emiko Mizoguchi |
| Abstract |
The specific pathogenesis underlying inflammatory bowel disease is complex, and it is even more difficult to decipher the pathophysiology to explain for the similarities and differences between two of its major subtypes, Crohn's disease and ulcerative colitis (UC). Animal models are indispensable to pry into mechanistic details that will facilitate better preclinical drug/therapy design to target specific components involved in the disease pathogenesis. This review focuses on common animal models that are particularly useful for the study of UC and its therapeutic strategy. Recent reports of the latest compounds, therapeutic strategies, and approaches tested on UC animal models are also discussed. |
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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 409 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Slovakia | 1 | <1% |
| Japan | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 402 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 68 | 17% |
| Student > Master | 61 | 15% |
| Student > Bachelor | 49 | 12% |
| Researcher | 41 | 10% |
| Student > Postgraduate | 21 | 5% |
| Other | 62 | 15% |
| Unknown | 107 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 73 | 18% |
| Biochemistry, Genetics and Molecular Biology | 52 | 13% |
| Medicine and Dentistry | 44 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 40 | 10% |
| Immunology and Microbiology | 33 | 8% |
| Other | 47 | 11% |
| Unknown | 120 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 06 June 2023.
All research outputs
#7,275,391
of 25,576,801 outputs
Outputs from Drug Design, Development and Therapy
#471
of 2,254 outputs
Outputs of similar age
#62,936
of 227,073 outputs
Outputs of similar age from Drug Design, Development and Therapy
#9
of 40 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 78% 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 227,073 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.