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PDX1, Neurogenin-3, and MAFA: critical transcription regulators for beta cell development and regeneration

Overview of attention for article published in Stem Cell Research & Therapy, November 2017
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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2 news outlets
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2 X users
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1 Wikipedia page

Citations

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218 Dimensions

Readers on

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324 Mendeley
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Title
PDX1, Neurogenin-3, and MAFA: critical transcription regulators for beta cell development and regeneration
Published in
Stem Cell Research & Therapy, November 2017
DOI 10.1186/s13287-017-0694-z
Pubmed ID
Authors

Yaxi Zhu, Qian Liu, Zhiguang Zhou, Yasuhiro Ikeda

Abstract

Transcription factors regulate gene expression through binding to specific enhancer sequences. Pancreas/duodenum homeobox protein 1 (PDX1), Neurogenin-3 (NEUROG3), and V-maf musculoaponeurotic fibrosarcoma oncogene homolog A (MAFA) are transcription factors critical for beta cell development and maturation. NEUROG3 is expressed in endocrine progenitor cells and controls islet differentiation and regeneration. PDX1 is essential for the development of pancreatic exocrine and endocrine cells including beta cells. PDX1 also binds to the regulatory elements and increases insulin gene transcription. Likewise, MAFA binds to the enhancer/promoter region of the insulin gene and drives insulin expression in response to glucose. In addition to those natural roles in beta cell development and maturation, ectopic expression of PDX1, NEUROG3, and/or MAFA has been successfully used to reprogram various cell types into insulin-producing cells in vitro and in vivo, such as pancreatic exocrine cells, hepatocytes, and pluripotent stem cells. Here, we review biological properties of PDX1, NEUROG3, and MAFA, and their applications and limitations for beta cell regenerative approaches. The primary source literature for this review was acquired using a PubMed search for articles published between 1990 and 2017. Search terms include diabetes, insulin, trans-differentiation, stem cells, and regenerative medicine.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 324 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 324 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 54 17%
Student > Ph. D. Student 49 15%
Student > Master 37 11%
Researcher 29 9%
Student > Doctoral Student 18 6%
Other 32 10%
Unknown 105 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 110 34%
Medicine and Dentistry 28 9%
Agricultural and Biological Sciences 28 9%
Pharmacology, Toxicology and Pharmaceutical Science 13 4%
Immunology and Microbiology 7 2%
Other 22 7%
Unknown 116 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 06 October 2022.
All research outputs
#1,546,693
of 23,485,296 outputs
Outputs from Stem Cell Research & Therapy
#71
of 2,473 outputs
Outputs of similar age
#33,258
of 330,455 outputs
Outputs of similar age from Stem Cell Research & Therapy
#3
of 80 outputs
Altmetric has tracked 23,485,296 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,473 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 97% 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 330,455 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 89% of its contemporaries.
We're also able to compare this research output to 80 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.