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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Multivalent Glycopolymer-Coated Gold Nanoparticles
|
|---|---|
| Chapter number | 14 |
| Book title |
Macro-Glycoligands
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3130-9_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3129-3, 978-1-4939-3130-9
|
| Authors |
Sarah-Jane Richards, Caroline I. Biggs, Matthew I. Gibson |
| Abstract |
Glycosylated noble metal nanoparticles are a useful tool for probing biological binding events due to their aggregation-induced color changes, particularly for lectins that have multiple binding sites. To overcome the challenges of colloidal instability, which leads to false-positive results, it is essential to add polymeric coatings to these particles. Here we describe a versatile, and reliable, approach to enable coating of gold nanoparticles using well-defined polymers, with carbohydrate end groups. This produces multivalent nanoparticles that are both colloidally stable, but still retain their rapid colorimetric responses to lectin binding. |
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 % |
|---|---|---|
| United Kingdom | 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 40% |
| Researcher | 2 | 40% |
| Professor > Associate Professor | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 3 | 60% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 20% |
| Unknown | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 September 2017.
All research outputs
#20,447,499
of 23,002,898 outputs
Outputs from Methods in molecular biology
#9,937
of 13,156 outputs
Outputs of similar age
#331,742
of 394,604 outputs
Outputs of similar age from Methods in molecular biology
#1,054
of 1,471 outputs
Altmetric has tracked 23,002,898 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,156 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 394,604 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.