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Estimating the modulatory effects of nanoparticles on neuronal circuits using computational upscaling

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

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

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3 Dimensions

Readers on

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8 Mendeley
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Title
Estimating the modulatory effects of nanoparticles on neuronal circuits using computational upscaling
Published in
International Journal of Nanomedicine, September 2013
DOI 10.2147/ijn.s43663
Pubmed ID
Authors

Daniel J. Strauss, Michael Busse, Stevens, Kraegeloh, Christian Cavelius, Mathias Vukelic, Arzt

Abstract

Beside the promising application potential of nanotechnologies in engineering, the use of nanomaterials in medicine is growing. New therapies employing innovative nanocarrier systems to increase specificity and efficacy of drug delivery schemes are already in clinical trials. However the influence of the nanoparticles themselves is still unknown in medical applications, especially for complex interactions in neural systems. The aim of this study was to investigate in vitro effects of coated silver nanoparticles (cAgNP) on the excitability of single neuronal cells and to integrate those findings into an in silico model to predict possible effects on neuronal circuits.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Student > Ph. D. Student 1 13%
Student > Bachelor 1 13%
Student > Doctoral Student 1 13%
Student > Master 1 13%
Other 2 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 38%
Materials Science 2 25%
Chemistry 1 13%
Medicine and Dentistry 1 13%
Engineering 1 13%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 September 2013.
All research outputs
#2,124,987
of 4,507,280 outputs
Outputs from International Journal of Nanomedicine
#414
of 1,146 outputs
Outputs of similar age
#44,046
of 97,737 outputs
Outputs of similar age from International Journal of Nanomedicine
#48
of 95 outputs
Altmetric has tracked 4,507,280 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,146 research outputs from this source. They receive a mean Attention Score of 1.8. This one has gotten more attention than average, scoring higher than 52% 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 97,737 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 51% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.