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Reprogramming of human somatic cells to pluripotency with defined factors

Overview of attention for article published in Nature, December 2007
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
blogs
4 blogs
policy
2 policy sources
twitter
1 X user
patent
527 patents
wikipedia
3 Wikipedia pages
reddit
1 Redditor

Readers on

mendeley
1768 Mendeley
citeulike
13 CiteULike
connotea
10 Connotea
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Article details
Title
Reprogramming of human somatic cells to pluripotency with defined factors
Published in
Nature, December 2007
DOI 10.1038/nature06534
Pubmed ID
Authors
Abstract

Pluripotency pertains to the cells of early embryos that can generate all of the tissues in the organism. Embryonic stem cells are embryo-derived cell lines that retain pluripotency and represent invaluable tools for research into the mechanisms of tissue formation. Recently, murine fibroblasts have been reprogrammed directly to pluripotency by ectopic expression of four transcription factors (Oct4, Sox2, Klf4 and Myc) to yield induced pluripotent stem (iPS) cells. Using these same factors, we have derived iPS cells from fetal, neonatal and adult human primary cells, including dermal fibroblasts isolated from a skin biopsy of a healthy research subject. Human iPS cells resemble embryonic stem cells in morphology and gene expression and in the capacity to form teratomas in immune-deficient mice. These data demonstrate that defined factors can reprogramme human cells to pluripotency, and establish a method whereby patient-specific cells might be established in culture.

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 1,768 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 25 1%
United Kingdom 14 <1%
Germany 13 <1%
France 8 <1%
Japan 7 <1%
Belgium 3 <1%
Brazil 3 <1%
China 3 <1%
Spain 3 <1%
Other 23 1%
Unknown 1666 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 390 22%
Researcher 336 19%
Student > Master 216 12%
Student > Bachelor 194 11%
Professor > Associate Professor 89 5%
Other 266 15%
Unknown 277 16%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 681 39%
Biochemistry, Genetics and Molecular Biology 333 19%
Medicine and Dentistry 182 10%
Engineering 61 3%
Neuroscience 61 3%
Other 136 8%
Unknown 314 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 64. 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 16 September 2026.
All research outputs
#827,419
of 33,251,071 outputs
Outputs from Nature
#30,598
of 116,072 outputs
Outputs of similar age
#2,051
of 219,077 outputs
Outputs of similar age from Nature
#34
of 586 outputs
Altmetric has tracked 33,251,071 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 116,072 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 96.2. This one has gotten more attention than average, scoring higher than 73% 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 219,077 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 586 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.