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Derivation of Human Induced Pluripotent Stem Cell (iPSC) Lines and Mechanism of Pluripotency: Historical Perspective and Recent Advances

Overview of attention for article published in Stem Cell Reviews and Reports, September 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 (77th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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1 blog
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Citations

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138 Mendeley
Title
Derivation of Human Induced Pluripotent Stem Cell (iPSC) Lines and Mechanism of Pluripotency: Historical Perspective and Recent Advances
Published in
Stem Cell Reviews and Reports, September 2017
DOI 10.1007/s12015-017-9766-9
Pubmed ID
Authors

Arvind Chhabra

Abstract

Derivation of human embryonic stem cell (hES) lines in 1998 was not only a major technological breakthrough in the field of regenerative medicine; it also triggered a passionate debate about the ethical issues associated with the utilization of human embryos for derivation of hESC lines. Successful derivation of induced pluripotent stem cell (iPS) lines from human somatic cells with defined reprogramming factors by Shinya Yamanaka`s group in 2007 was another breakthrough that generated enormous excitement and hope for the development of donor-specific personalized cell replacement therapies (CRT) without the ethical dilemma associated with it. As we approach twentieth anniversary of derivation of hESC lines and the tenth anniversary of isolation of donor-specific iPSC lines, this manuscript summarizes the key advances in pluripotent stem cell (PSC) research field that led to derivation of human iPSC lines, different methodologies for derivation iPSC lines and characterization of the mechanism of reprogramming. We will also review progress towards generating donor-specific somatic cell lineages from iPSC lines, especially the functional immune cell lineages, and progress towards advancing these findings to the clinic. Finally, we will discuss the challenges, such as genome instability and inherent immunogenicity of hPSC lines that need to be addressed to develop safe and effective iPSC-based CRT.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 138 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 31 22%
Student > Ph. D. Student 28 20%
Student > Bachelor 20 14%
Researcher 16 12%
Student > Doctoral Student 8 6%
Other 12 9%
Unknown 23 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 47 34%
Agricultural and Biological Sciences 20 14%
Medicine and Dentistry 12 9%
Neuroscience 10 7%
Immunology and Microbiology 5 4%
Other 16 12%
Unknown 28 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 20 September 2017.
All research outputs
#4,370,994
of 25,382,440 outputs
Outputs from Stem Cell Reviews and Reports
#158
of 1,036 outputs
Outputs of similar age
#68,468
of 309,735 outputs
Outputs of similar age from Stem Cell Reviews and Reports
#3
of 18 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,036 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 84% 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 309,735 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 77% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.