↓ Skip to main content

A Molecular Roadmap of Reprogramming Somatic Cells into iPS Cells

Overview of attention for article published in Cell, December 2012
Altmetric Badge

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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
2 blogs
twitter
19 X users
patent
22 patents
facebook
5 Facebook pages
wikipedia
3 Wikipedia pages

Readers on

mendeley
1200 Mendeley
citeulike
4 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
A Molecular Roadmap of Reprogramming Somatic Cells into iPS Cells
Published in
Cell, December 2012
DOI 10.1016/j.cell.2012.11.039
Pubmed ID
Authors
Abstract

Factor-induced reprogramming of somatic cells into induced pluripotent stem cells (iPSCs) is inefficient, complicating mechanistic studies. Here, we examined defined intermediate cell populations poised to becoming iPSCs by genome-wide analyses. We show that induced pluripotency elicits two transcriptional waves, which are driven by c-Myc/Klf4 (first wave) and Oct4/Sox2/Klf4 (second wave). Cells that become refractory to reprogramming activate the first but fail to initiate the second transcriptional wave and can be rescued by elevated expression of all four factors. The establishment of bivalent domains occurs gradually after the first wave, whereas changes in DNA methylation take place after the second wave when cells acquire stable pluripotency. This integrative analysis allowed us to identify genes that act as roadblocks during reprogramming and surface markers that further enrich for cells prone to forming iPSCs. Collectively, our data offer new mechanistic insights into the nature and sequence of molecular events inherent to cellular reprogramming.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 19 X users 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 1,200 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 20 2%
United Kingdom 9 <1%
Japan 5 <1%
France 3 <1%
Spain 3 <1%
Brazil 2 <1%
Iran, Islamic Republic of 2 <1%
Germany 2 <1%
Austria 1 <1%
Other 9 <1%
Unknown 1144 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 302 25%
Researcher 244 20%
Student > Master 124 10%
Student > Bachelor 105 9%
Professor > Associate Professor 61 5%
Other 169 14%
Unknown 195 16%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 469 39%
Biochemistry, Genetics and Molecular Biology 314 26%
Medicine and Dentistry 87 7%
Neuroscience 30 3%
Engineering 25 2%
Other 69 6%
Unknown 206 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 14 September 2026.
All research outputs
#1,239,916
of 28,829,220 outputs
Outputs from Cell
#4,537
of 18,099 outputs
Outputs of similar age
#8,943
of 300,214 outputs
Outputs of similar age from Cell
#22
of 142 outputs
Altmetric has tracked 28,829,220 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 18,099 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 62.4. This one has gotten more attention than average, scoring higher than 74% 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 300,214 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 97% of its contemporaries.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.