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Transcriptomic analysis of pluripotent stem cells: insights into health and disease

Overview of attention for article published in Genome Medicine, October 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

blogs
1 blog
twitter
6 X users
facebook
2 Facebook pages

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
42 Mendeley
citeulike
1 CiteULike
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Title
Transcriptomic analysis of pluripotent stem cells: insights into health and disease
Published in
Genome Medicine, October 2011
DOI 10.1186/gm284
Pubmed ID
Authors

Jia-Chi Yeo, Huck-Hui Ng

Abstract

Embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs) hold tremendous clinical potential because of their ability to self-renew, and to differentiate into all cell types of the body. This unique capacity of ESCs and iPSCs to form all cell lineages is termed pluripotency. While ESCs and iPSCs are pluripotent and remarkably similar in appearance, whether iPSCs truly resemble ESCs at the molecular level is still being debated. Further research is therefore needed to resolve this issue before iPSCs may be safely applied in humans for cell therapy or regenerative medicine. Nevertheless, the use of iPSCs as an in vitro human genetic disease model has been useful in studying the molecular pathology of complex genetic diseases, as well as facilitating genetic or drug screens. Here, we review recent progress in transcriptomic approaches in the study of ESCs and iPSCs, and discuss how deregulation of these pathways may be involved in the development of disease. Finally, we address the importance of these advances for developing new therapeutics, and the future challenges facing the clinical application of ESCs and iPSCs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Austria 1 2%
United Kingdom 1 2%
Iran, Islamic Republic of 1 2%
Korea, Republic of 1 2%
Unknown 37 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 24%
Researcher 7 17%
Student > Ph. D. Student 6 14%
Other 4 10%
Student > Bachelor 4 10%
Other 10 24%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 50%
Biochemistry, Genetics and Molecular Biology 6 14%
Medicine and Dentistry 6 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Sports and Recreations 1 2%
Other 3 7%
Unknown 3 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 08 December 2011.
All research outputs
#2,589,499
of 25,374,647 outputs
Outputs from Genome Medicine
#590
of 1,585 outputs
Outputs of similar age
#13,318
of 152,461 outputs
Outputs of similar age from Genome Medicine
#4
of 18 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 62% 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 152,461 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 91% 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 77% of its contemporaries.