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Molecular specification of germ layers in vertebrate embryos

Overview of attention for article published in Cellular and Molecular Life Sciences, December 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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1 X user
wikipedia
3 Wikipedia pages

Citations

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77 Dimensions

Readers on

mendeley
279 Mendeley
Title
Molecular specification of germ layers in vertebrate embryos
Published in
Cellular and Molecular Life Sciences, December 2015
DOI 10.1007/s00018-015-2092-y
Pubmed ID
Authors

Clemens Kiecker, Thomas Bates, Esther Bell

Abstract

In order to generate the tissues and organs of a multicellular organism, different cell types have to be generated during embryonic development. The first step in this process of cellular diversification is the formation of the three germ layers: ectoderm, endoderm and mesoderm. The ectoderm gives rise to the nervous system, epidermis and various neural crest-derived tissues, the endoderm goes on to form the gastrointestinal, respiratory and urinary systems as well as many endocrine glands, and the mesoderm will form the notochord, axial skeleton, cartilage, connective tissue, trunk muscles, kidneys and blood. Classic experiments in amphibian embryos revealed the tissue interactions involved in germ layer formation and provided the groundwork for the identification of secreted and intracellular factors involved in this process. We will begin this review by summarising the key findings of those studies. We will then evaluate them in the light of more recent genetic studies that helped clarify which of the previously identified factors are required for germ layer formation in vivo, and to what extent the mechanisms identified in amphibians are conserved across other vertebrate species. Collectively, these studies have started to reveal the gene regulatory network (GRN) underlying vertebrate germ layer specification and we will conclude our review by providing examples how our understanding of this GRN can be employed to differentiate stem cells in a targeted fashion for therapeutic purposes.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
France 1 <1%
Unknown 277 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 21%
Student > Bachelor 56 20%
Student > Master 32 11%
Researcher 28 10%
Student > Doctoral Student 9 3%
Other 28 10%
Unknown 67 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 90 32%
Agricultural and Biological Sciences 58 21%
Neuroscience 16 6%
Medicine and Dentistry 14 5%
Engineering 5 2%
Other 26 9%
Unknown 70 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 November 2018.
All research outputs
#7,315,081
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#1,552
of 4,151 outputs
Outputs of similar age
#112,645
of 393,686 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#18
of 51 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 4,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. 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 393,686 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.