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Mendeley readers
Attention Score in Context
| Chapter title |
Stable Discoidal Bicelles: A Platform of Lipid Nanocarriers for Cellular Delivery
|
|---|---|
| Chapter number | 22 |
| Book title |
Liposomes
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6591-5_22 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6589-2, 978-1-4939-6591-5
|
| Authors |
Ying Liu, Yan Xia, Armin Tahmasbi Rad, Wafa Aresh, Mu-Ping Nieh, Liu, Ying, Xia, Yan, Rad, Armin Tahmasbi, Aresh, Wafa, Nieh, Mu-Ping |
| Abstract |
Bicellar mixtures have been used as alignable membrane substrates for the structural characterization of membrane-associated proteins. Most recently, it has been shown that bicelles can serve as nanocarriers to effectively deliver hydrophobic molecules to cancer cells with a 3- to 10-fold enhancement compared to that of chemically identical liposomes. In this chapter, a detailed preparation protocol, common structural characterization methods, the structural stability and the cellular uptake of bicellar nanodisks are discussed. |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 22% |
| Professor | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Student > Master | 1 | 11% |
| Researcher | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 3 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 33% |
| Chemistry | 2 | 22% |
| Materials Science | 1 | 11% |
| Chemical Engineering | 1 | 11% |
| Unknown | 2 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 05 December 2023.
All research outputs
#8,367,061
of 25,002,811 outputs
Outputs from Methods in molecular biology
#2,590
of 14,075 outputs
Outputs of similar age
#146,342
of 431,901 outputs
Outputs of similar age from Methods in molecular biology
#256
of 1,083 outputs
Altmetric has tracked 25,002,811 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,075 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 75% 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 431,901 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 51% of its contemporaries.
We're also able to compare this research output to 1,083 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.