| Title |
Synthetic glycolipid-like constructs as tools for glycobiology research, diagnostics, and as potential therapeutics
|
|---|---|
| Published in |
Biochemistry, July 2015
|
| DOI | 10.1134/s0006297915070068 |
| Pubmed ID | |
| Authors |
E. Y. Korchagina, S. M. Henry |
| Abstract |
Function-spacer-lipid (FSL) constructs are amphiphilic molecules that are able to disperse in water and then self-assemble into cell membranes or onto solid surfaces. Modification of a biological or non-biological surface is very easy and achieved by simple contact of the surface with an appropriately buffered solution containing one or more FSLs. When the functional head group of the FSL is a glycan, glycan modified surfaces can be rapidly formed. Once cells, viruses, or solid surfaces are FSL modified with either simple or complex glycans, they can be used in vitro and/or in vivo to measure interactions with cells, viruses, antibodies, and lectins. FSLs have already been used in a variety of techniques including antibody specificity mapping, antibody/toxin neutralization, diagnostic assays, immune system manipulation, and animal modeling of transfusion reactions. FSLs offer the easiest and fastest method available to achieve a glycan-modified surface. |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 2 | 8% |
| Unknown | 24 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 19% |
| Student > Bachelor | 4 | 15% |
| Other | 3 | 12% |
| Professor > Associate Professor | 3 | 12% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 5 | 19% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 31% |
| Agricultural and Biological Sciences | 5 | 19% |
| Medicine and Dentistry | 2 | 8% |
| Chemistry | 2 | 8% |
| Unspecified | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 4 | 15% |
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 10 July 2023.
All research outputs
#2,863,926
of 25,374,647 outputs
Outputs from Biochemistry
#535
of 22,288 outputs
Outputs of similar age
#35,545
of 276,300 outputs
Outputs of similar age from Biochemistry
#3
of 155 outputs
Altmetric has tracked 25,374,647 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 22,288 research outputs from this source. They receive a mean Attention Score of 4.4. 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 276,300 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 86% of its contemporaries.
We're also able to compare this research output to 155 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 98% of its contemporaries.