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Interleukin-6-Mediated Induced Pluripotent Stem Cell (iPSC)-Derived Neural Differentiation

Overview of attention for article published in Molecular Neurobiology, May 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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3 X users
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2 patents

Citations

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11 Dimensions

Readers on

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37 Mendeley
Title
Interleukin-6-Mediated Induced Pluripotent Stem Cell (iPSC)-Derived Neural Differentiation
Published in
Molecular Neurobiology, May 2017
DOI 10.1007/s12035-017-0594-3
Pubmed ID
Authors

Yanuar Alan Sulistio, Han Kyu Lee, Sung Jun Jung, Klaus Heese

Abstract

In an aging society with an increasing threat to higher brain cognitive functions due to dementia, it becomes imperative to identify new molecular remedies for supporting adult neurogenesis. Interleukin-6 (IL-6) is a promising cytokine that can support neurogenesis under conditions of neurodegeneration, and neuron replacement is eventually possible due to its agonistic acting soluble receptor sIL-6R. Here, we report that activation of the IL-6-signal transducer and activator of transcription 3 (STAT3) axis is neurogenic and has potential therapeutic applications for the treatment of neurodegenerative diseases such as Parkinson's disease (PD).

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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 16%
Student > Doctoral Student 5 14%
Other 4 11%
Student > Master 4 11%
Researcher 4 11%
Other 7 19%
Unknown 7 19%
Readers by discipline Count As %
Neuroscience 8 22%
Medicine and Dentistry 6 16%
Biochemistry, Genetics and Molecular Biology 5 14%
Agricultural and Biological Sciences 3 8%
Psychology 2 5%
Other 3 8%
Unknown 10 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 28 November 2023.
All research outputs
#4,089,418
of 24,946,857 outputs
Outputs from Molecular Neurobiology
#903
of 3,845 outputs
Outputs of similar age
#66,971
of 316,097 outputs
Outputs of similar age from Molecular Neurobiology
#28
of 127 outputs
Altmetric has tracked 24,946,857 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,845 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 76% 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 316,097 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.