↓ Skip to main content

Metastatic prostate cancer cell-specific phage-like particles as a targeted gene-delivery system

Overview of attention for article published in Journal of Nanobiotechnology, September 2013
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
42 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Metastatic prostate cancer cell-specific phage-like particles as a targeted gene-delivery system
Published in
Journal of Nanobiotechnology, September 2013
DOI 10.1186/1477-3155-11-31
Pubmed ID
Authors

Olusegun A Fagbohun, Robert A Kazmierczak, Valery A Petrenko, Abraham Eisenstark

Abstract

One of the cardinal requirements for effective therapeutic management of tumors is the selective delivery of cancer drugs to the right site by ligand-decorated nanomedicines. Screening of 2 × 109 clone landscape phage library provides a reliable avenue for generating protein ligands specific for tumor cells. It was shown that selective phage proteins derived from landscape phage libraries against breast and prostate cancer cells are able to navigate drug or siRNA loaded liposomes to corresponding cancer cells with minimal toxicity to non-neoplastic cells. In an alternative platform, glioma cell-specific phage proteins were used for assembling in vivo cancer-specific phage-like particles, named 'phagemid infective particles' as targeted gene-delivery vehicles.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 17%
Student > Master 7 17%
Student > Bachelor 6 14%
Professor > Associate Professor 5 12%
Researcher 4 10%
Other 4 10%
Unknown 9 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 24%
Medicine and Dentistry 4 10%
Biochemistry, Genetics and Molecular Biology 3 7%
Engineering 2 5%
Chemistry 2 5%
Other 6 14%
Unknown 15 36%
Attention Score in Context

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 25 January 2015.
All research outputs
#20,251,039
of 22,780,165 outputs
Outputs from Journal of Nanobiotechnology
#1,209
of 1,405 outputs
Outputs of similar age
#177,496
of 202,869 outputs
Outputs of similar age from Journal of Nanobiotechnology
#3
of 3 outputs
Altmetric has tracked 22,780,165 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 1,405 research outputs from this source. They receive a mean Attention Score of 3.6. 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 202,869 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 3 others from the same source and published within six weeks on either side of this one.