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A preliminary study for constructing a bioartificial liver device with induced pluripotent stem cell-derived hepatocytes

Overview of attention for article published in BioMedical Engineering OnLine, December 2012
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  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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3 X users
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1 Facebook page

Citations

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24 Dimensions

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54 Mendeley
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Title
A preliminary study for constructing a bioartificial liver device with induced pluripotent stem cell-derived hepatocytes
Published in
BioMedical Engineering OnLine, December 2012
DOI 10.1186/1475-925x-11-93
Pubmed ID
Authors

Masaya Iwamuro, Hidenori Shiraha, Shuhei Nakaji, Masumi Furutani, Naoya Kobayashi, Akinobu Takaki, Kazuhide Yamamoto

Abstract

Bioartificial liver systems, designed to support patients with liver failure, are composed of bioreactors and functional hepatocytes. Immunological rejection of the embedded hepatocytes by the host immune system is a serious concern that crucially degrades the performance of the device. Induced pluripotent stem (iPS) cells are considered a desirable source for bioartificial liver systems, because patient-derived iPS cells are free from immunological rejection. The purpose of this paper was to test the feasibility of a bioartificial liver system with iPS cell-derived hepatocyte-like cells.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Mexico 1 2%
Unknown 52 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 20%
Student > Bachelor 9 17%
Student > Ph. D. Student 9 17%
Student > Master 8 15%
Student > Postgraduate 4 7%
Other 8 15%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 31%
Medicine and Dentistry 11 20%
Biochemistry, Genetics and Molecular Biology 8 15%
Materials Science 3 6%
Engineering 2 4%
Other 6 11%
Unknown 7 13%
Attention Score in Context

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 17 December 2012.
All research outputs
#13,878,381
of 22,689,790 outputs
Outputs from BioMedical Engineering OnLine
#362
of 821 outputs
Outputs of similar age
#162,785
of 277,812 outputs
Outputs of similar age from BioMedical Engineering OnLine
#14
of 35 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 55% 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 277,812 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 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 57% of its contemporaries.