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Mendeley readers
Attention Score in Context
| Title |
Molecular Grafting onto a Stable Framework Yields Novel Cyclic Peptides for the Treatment of Multiple Sclerosis
|
|---|---|
| Published in |
ACS Chemical Biology, November 2013
|
| DOI | 10.1021/cb400548s |
| Pubmed ID | |
| Authors |
Conan K. Wang, Christian W. Gruber, Maša Cemazar, Christopher Siatskas, Prascilla Tagore, Natalie Payne, Guizhi Sun, Shunhe Wang, Claude C. Bernard, David J. Craik |
| Abstract |
Multiple sclerosis (MS) is an inflammatory disease of the central nervous system (CNS) and is characterized by the destruction of myelin and axons leading to progressive disability. Peptide epitopes from CNS proteins, such as myelin oligodendrocyte glycoprotein (MOG), possess promising immunoregulatory potential for treating MS; however, their instability and poor bioavailability is a major impediment for their use clinically. To overcome this problem, we used molecular grafting to incorporate peptide sequences from the MOG35-55 epitope onto a cyclotide, which is a macrocyclic peptide scaffold that has been shown to be intrinsically stable. Using this approach, we designed novel cyclic peptides that retained the structure and stability of the parent scaffold. One of the grafted peptides, MOG3, displayed potent ability to prevent disease development in a mouse model of MS. These results demonstrate the potential of bioengineered cyclic peptides for the treatment of MS. |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Germany | 1 | <1% |
| Nigeria | 1 | <1% |
| Unknown | 116 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 30% |
| Student > Master | 20 | 17% |
| Researcher | 16 | 13% |
| Professor > Associate Professor | 6 | 5% |
| Other | 6 | 5% |
| Other | 14 | 12% |
| Unknown | 21 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 38 | 32% |
| Biochemistry, Genetics and Molecular Biology | 24 | 20% |
| Agricultural and Biological Sciences | 12 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 6% |
| Medicine and Dentistry | 5 | 4% |
| Other | 9 | 8% |
| Unknown | 24 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 20 March 2019.
All research outputs
#4,682,780
of 22,729,647 outputs
Outputs from ACS Chemical Biology
#1,098
of 3,249 outputs
Outputs of similar age
#44,828
of 215,614 outputs
Outputs of similar age from ACS Chemical Biology
#16
of 68 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,249 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 62% 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 215,614 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 77% of its contemporaries.
We're also able to compare this research output to 68 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 72% of its contemporaries.