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Poly ε-caprolactone nanoparticles loaded with Uncaria tomentosa extract: preparation, characterization, and optimization using the Box–Behnken design

Overview of attention for article published in International Journal of Nanomedicine, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
2 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
34 Mendeley
Title
Poly ε-caprolactone nanoparticles loaded with Uncaria tomentosa extract: preparation, characterization, and optimization using the Box–Behnken design
Published in
International Journal of Nanomedicine, January 2013
DOI 10.2147/ijn.s38491
Pubmed ID
Authors

Valeria de Sousa, Ribeiro, Rezende, Cabral

Abstract

The aim of this research was to develop and optimize a process for obtaining poly ɛ-caprolactone (PCL) nanoparticles loaded with Uncaria tomentosa (UT) extract.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 32%
Student > Master 6 18%
Student > Postgraduate 4 12%
Researcher 4 12%
Student > Bachelor 2 6%
Other 5 15%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 24%
Medicine and Dentistry 7 21%
Pharmacology, Toxicology and Pharmaceutical Science 5 15%
Chemistry 3 9%
Biochemistry, Genetics and Molecular Biology 3 9%
Other 4 12%
Unknown 4 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 March 2014.
All research outputs
#1,721,723
of 4,508,612 outputs
Outputs from International Journal of Nanomedicine
#138
of 1,146 outputs
Outputs of similar age
#92,250
of 285,389 outputs
Outputs of similar age from International Journal of Nanomedicine
#3
of 61 outputs
Altmetric has tracked 4,508,612 research outputs across all sources so far. This one has received more attention than most of these and is in the 61st percentile.
So far Altmetric has tracked 1,146 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done well, scoring higher than 85% 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 285,389 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 61 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 95% of its contemporaries.