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Functional Scaffolding for Brain Implants: Engineered Neuronal Network by Microfabrication and iPSC Technology

Overview of attention for article published in Frontiers in Neuroscience, August 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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10 X users

Citations

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11 Dimensions

Readers on

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43 Mendeley
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Title
Functional Scaffolding for Brain Implants: Engineered Neuronal Network by Microfabrication and iPSC Technology
Published in
Frontiers in Neuroscience, August 2019
DOI 10.3389/fnins.2019.00890
Pubmed ID
Authors

Kenta Shimba, Chih-Hsiang Chang, Takahiro Asahina, Fumika Moriya, Kiyoshi Kotani, Yasuhiko Jimbo, Arseniy Gladkov, Oksana Antipova, Yana Pigareva, Vladimir Kolpakov, Irina Mukhina, Victor Kazantsev, Alexey Pimashkin

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 19%
Student > Ph. D. Student 7 16%
Researcher 7 16%
Student > Master 5 12%
Other 3 7%
Other 1 2%
Unknown 12 28%
Readers by discipline Count As %
Neuroscience 8 19%
Biochemistry, Genetics and Molecular Biology 5 12%
Engineering 5 12%
Medicine and Dentistry 3 7%
Immunology and Microbiology 1 2%
Other 6 14%
Unknown 15 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 15 January 2024.
All research outputs
#6,708,758
of 26,557,909 outputs
Outputs from Frontiers in Neuroscience
#4,359
of 11,938 outputs
Outputs of similar age
#105,009
of 353,637 outputs
Outputs of similar age from Frontiers in Neuroscience
#109
of 331 outputs
Altmetric has tracked 26,557,909 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 11,938 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has gotten more attention than average, scoring higher than 63% 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 353,637 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 70% of its contemporaries.
We're also able to compare this research output to 331 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.