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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Nanotechnology-Based Cancer Vaccine
|
|---|---|
| Chapter number | 15 |
| Book title |
Cancer Nanotechnology
|
| Published in |
Methods in molecular biology, February 2017
|
| DOI | 10.1007/978-1-4939-6646-2_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6644-8, 978-1-4939-6646-2
|
| Authors |
Aws Alshamsan, Alshamsan, Aws |
| Editors |
Reema Zeineldin |
| Abstract |
Nanotechnology offers invaluable tools to tailor cancer vaccines in order to generate robust antitumor immune response. Among the types of vehicles for cancer vaccines, nanoparticles (NPs) are easier to produce with better scalability. Several nanostructures have been discussed in literature as potential delivery systems for cancer antigens. Here, we focus on polymeric NPs fabricated from poly(D,L-lactic-co-glycolic) acid (PLGA). We describe how to prepare and characterize such NPs loaded with ovalbumin (OVA) antigen and immune adjuvant monophosphoryl lipid A (MPLA). We further describe methods to test the immune efficacy of such NPs in vitro and in vivo. |
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 % |
|---|---|---|
| Unknown | 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 24% |
| Student > Master | 3 | 18% |
| Researcher | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Lecturer | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 24% |
| Immunology and Microbiology | 2 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 6 | 35% |
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 02 December 2020.
All research outputs
#15,448,169
of 22,957,478 outputs
Outputs from Methods in molecular biology
#5,372
of 13,137 outputs
Outputs of similar age
#256,856
of 420,333 outputs
Outputs of similar age from Methods in molecular biology
#489
of 1,176 outputs
Altmetric has tracked 22,957,478 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,137 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 420,333 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,176 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.