You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling of celiac disease immune response and the therapeutic effect of potential drugs
|
|---|---|
| Published in |
BMC Systems Biology, July 2013
|
| DOI | 10.1186/1752-0509-7-56 |
| Pubmed ID | |
| Authors |
Oleg O Demin, Sergey V Smirnov, Victor V Sokolov, Lourdes Cucurull-Sanchez, Cesar Pichardo-Almarza, M Victoria Flores, Neil Benson, Oleg V Demin |
| Abstract |
Celiac disease (CD) is an autoimmune disorder that occurs in genetically predisposed people and is caused by a reaction to the gluten protein found in wheat, which leads to intestinal villous atrophy. Currently there is no drug for treatment of CD. The only known treatment is lifelong gluten-free diet. The main aim of this work is to develop a mathematical model of the immune response in CD patients and to predict the efficacy of a transglutaminase-2 (TG-2) inhibitor as a potential drug for treatment of CD. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Cyprus | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 4% |
| Russia | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 44 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 29% |
| Student > Bachelor | 8 | 17% |
| Student > Ph. D. Student | 4 | 8% |
| Student > Master | 4 | 8% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 10 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 23% |
| Medicine and Dentistry | 7 | 15% |
| Biochemistry, Genetics and Molecular Biology | 5 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
| Immunology and Microbiology | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 12 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 October 2013.
All research outputs
#15,740,207
of 25,374,647 outputs
Outputs from BMC Systems Biology
#529
of 1,132 outputs
Outputs of similar age
#117,226
of 206,624 outputs
Outputs of similar age from BMC Systems Biology
#10
of 29 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 51% 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 206,624 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.