Virus-Derived Nanoparticles for Advanced Technologies
Springer New York
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Engineering of M13 Bacteriophage for Development of Tissue Engineering Materials
|
|---|---|
| Chapter number | 32 |
| Book title |
Virus-Derived Nanoparticles for Advanced Technologies
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7808-3_32 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7806-9, 978-1-4939-7808-3
|
| Authors |
Hyo-Eon Jin, Seung-Wuk Lee, Jin, Hyo-Eon, Lee, Seung-Wuk |
| Abstract |
M13 bacteriophages have several qualities that make them attractive candidates as building blocks for tissue regenerating scaffold materials. Through genetic engineering, a high density of functional peptides and proteins can be simultaneously displayed on the M13 bacteriophage's outer coat proteins. The resulting phage can self-assemble into nanofibrous network structures and can guide the tissue morphogenesis through proliferation, differentiation and apoptosis. In this manuscript, we will describe methods to develop major coat-engineered M13 phages as a basic building block and aligned tissue-like matrices to develop regenerative nanomaterials. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 19% |
| Student > Master | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Doctoral Student | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 44% |
| Materials Science | 2 | 13% |
| Immunology and Microbiology | 1 | 6% |
| Engineering | 1 | 6% |
| Unknown | 5 | 31% |
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 06 June 2018.
All research outputs
#17,978,863
of 23,088,369 outputs
Outputs from Methods in molecular biology
#7,313
of 13,204 outputs
Outputs of similar age
#310,669
of 442,629 outputs
Outputs of similar age from Methods in molecular biology
#869
of 1,499 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,204 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.