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Lecithin-based wet chemical precipitation of hydroxyapatite nanoparticles

Overview of attention for article published in Colloid and Polymer Science, March 2015
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58 Mendeley
Title
Lecithin-based wet chemical precipitation of hydroxyapatite nanoparticles
Published in
Colloid and Polymer Science, March 2015
DOI 10.1007/s00396-015-3557-0
Pubmed ID
Authors

Wojasiński Michał, Duszyńska Ewa, Ciach Tomasz

Abstract

Hydroxyapatite Ca10(PO4)6(OH)2 nanoparticles have been successfully synthesized by the wet chemical precipitation method at 60 °C in the presence of biocompatible natural surfactant-lecithin. The composition and morphology of nanoparticles of hydroxyapatite synthesized with lecithin (nHAp-PC) was studied by X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), and scanning electron microscopy (SEM). Size distribution for nanoparticles was measured by nanoparticle tracking analysis in NanoSight system. We discuss in details influence of lecithin concentration in reaction system on nHAp-PC morphology, as well as on size distributions and suspendability of nanoparticles. Product exhibits crystalline structure and chemical composition of hydroxyapatite, with visible traces of lecithin. Difference in surfactant amounts results in changes in particles morphology and their average size.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 2 3%
Mexico 1 2%
Unknown 55 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 17%
Researcher 8 14%
Student > Master 7 12%
Student > Bachelor 4 7%
Student > Doctoral Student 4 7%
Other 8 14%
Unknown 17 29%
Readers by discipline Count As %
Chemical Engineering 8 14%
Materials Science 7 12%
Engineering 5 9%
Chemistry 5 9%
Biochemistry, Genetics and Molecular Biology 3 5%
Other 8 14%
Unknown 22 38%
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 12 April 2015.
All research outputs
#21,162,249
of 23,815,455 outputs
Outputs from Colloid and Polymer Science
#838
of 857 outputs
Outputs of similar age
#223,158
of 262,873 outputs
Outputs of similar age from Colloid and Polymer Science
#6
of 6 outputs
Altmetric has tracked 23,815,455 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 857 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 262,873 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 6 others from the same source and published within six weeks on either side of this one.