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Dove Medical Press

Preparation and characterization of solid lipid nanoparticles loaded with frankincense and myrrh oil

Overview of attention for article published in International Journal of Nanomedicine, April 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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2 X users
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2 patents
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6 Facebook pages

Citations

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150 Mendeley
Title
Preparation and characterization of solid lipid nanoparticles loaded with frankincense and myrrh oil
Published in
International Journal of Nanomedicine, April 2012
DOI 10.2147/ijn.s30085
Pubmed ID
Authors

Feng Shi, Ji-Hui Zhao, Ying Liu, Zhi Wang, Yong-Tai Zhang, Nian-Ping Feng

Abstract

The aim of the present study was to prepare solid lipid nanoparticles (SLNs) for the oral delivery of frankincense and myrrh essential oils (FMO). Aqueous dispersions of SLNs were successfully prepared by a high-pressure homogenization method using Compritol 888 ATO as the solid lipid and soybean lecithin and Tween 80 as the surfactants. The properties of the SLNs such as particle size, zeta potential (ZP), and drug encapsulation efficiency (EE) were investigated. The morphology of SLNs was observed by transmission electron microscopy (TEM). The crystallinity of the formulation was analyzed by differential scanning calorimetry (DSC) and X-ray diffraction (XRD). In addition, drug evaporation release and antitumor activity were also studied. Round SLNs with a mean size of 113.3 ± 3.6 nm, a ZP of -16.8 ± 0.4 mV, and an EE of 80.60% ± 1.11% were obtained. DSC and XRD measurements revealed that less ordered structures were formed in the inner cores of the SLN particles. Evaporation loss of the active components in FMO could be reduced in the SLNs. Furthermore, the SLN formulation increased the antitumor efficacy of FMO in H22-bearing Kunming mice. Hence, the presented SLNs can be used as drug carriers for hydrophobic oil drugs extracted from traditional Chinese medicines.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Serbia 1 <1%
Unknown 149 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 19%
Student > Master 23 15%
Student > Doctoral Student 18 12%
Researcher 11 7%
Other 9 6%
Other 25 17%
Unknown 35 23%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 35 23%
Agricultural and Biological Sciences 20 13%
Medicine and Dentistry 14 9%
Chemistry 13 9%
Biochemistry, Genetics and Molecular Biology 7 5%
Other 15 10%
Unknown 46 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 20 January 2020.
All research outputs
#4,191,860
of 25,374,647 outputs
Outputs from International Journal of Nanomedicine
#316
of 4,123 outputs
Outputs of similar age
#26,428
of 173,053 outputs
Outputs of similar age from International Journal of Nanomedicine
#6
of 83 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,123 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 92% 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 173,053 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.