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Molecular basis of embryonic stem cell self-renewal: from signaling pathways to pluripotency network

Overview of attention for article published in Cellular and Molecular Life Sciences, January 2015
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users
patent
3 patents

Citations

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124 Dimensions

Readers on

mendeley
280 Mendeley
Title
Molecular basis of embryonic stem cell self-renewal: from signaling pathways to pluripotency network
Published in
Cellular and Molecular Life Sciences, January 2015
DOI 10.1007/s00018-015-1833-2
Pubmed ID
Authors

Guanyi Huang, Shoudong Ye, Xingliang Zhou, Dahai Liu, Qi-Long Ying

Abstract

Embryonic stem cells (ESCs) can be maintained in culture indefinitely while retaining the capacity to generate any type of cell in the body, and therefore not only hold great promise for tissue repair and regeneration, but also provide a powerful tool for modeling human disease and understanding biological development. In order to fulfill the full potential of ESCs, it is critical to understand how ESC fate, whether to self-renew or to differentiate into specialized cells, is regulated. On the molecular level, ESC fate is controlled by the intracellular transcriptional regulatory networks that respond to various extrinsic signaling stimuli. In this review, we discuss and compare important signaling pathways in the self-renewal and differentiation of mouse, rat, and human ESCs with an emphasis on how these pathways integrate into ESC-specific transcription circuitries. This will be beneficial for understanding the common and conserved mechanisms that govern self-renewal, and for developing novel culture conditions that support ESC derivation and maintenance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 280 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 <1%
United States 2 <1%
Malaysia 1 <1%
United Kingdom 1 <1%
France 1 <1%
Japan 1 <1%
Brazil 1 <1%
Unknown 271 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 63 23%
Student > Master 48 17%
Student > Bachelor 41 15%
Researcher 30 11%
Student > Postgraduate 12 4%
Other 26 9%
Unknown 60 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 88 31%
Agricultural and Biological Sciences 77 28%
Medicine and Dentistry 14 5%
Engineering 8 3%
Neuroscience 5 2%
Other 21 8%
Unknown 67 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 09 September 2022.
All research outputs
#1,889,586
of 24,220,739 outputs
Outputs from Cellular and Molecular Life Sciences
#215
of 5,581 outputs
Outputs of similar age
#26,960
of 360,582 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#3
of 59 outputs
Altmetric has tracked 24,220,739 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,581 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 96% 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 360,582 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 92% of its contemporaries.
We're also able to compare this research output to 59 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 96% of its contemporaries.