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Distinct mechanisms underlie pattern formation in the skin and skin appendages

Overview of attention for article published in Birth Defects Research Part C: Embryo Today: Reviews, October 2006
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  • Good Attention Score compared to outputs of the same age (66th percentile)

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49 Mendeley
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Article details
Title
Distinct mechanisms underlie pattern formation in the skin and skin appendages
Published in
Birth Defects Research Part C: Embryo Today: Reviews, October 2006
DOI 10.1002/bdrc.20075
Pubmed ID
Authors
Abstract

Patterns form with the break of homogeneity and lead to the emergence of new structure or arrangement. There are different physiological and pathological mechanisms that lead to the formation of patterns. Here, we first introduce the basics of pattern formation and their possible biological basis. We then discuss different categories of skin patterns and their potential underlying molecular mechanisms. Some patterns, such as the lines of Blaschko and Naevus, are based on cell lineage and genetic mosaicism. Other patterns, such as regionally specific skin appendages, can be set by distinct combinatorial molecular codes, which in turn may be set by morphogenetic gradients. There are also some patterns, such as the arrangement of hair follicles (hair whorls) and fingerprints, which involve genetics as well as stochastic epigenetic events based on physiochemical principles. Many appendage primordia are laid out in developmental waves. In the adult, some patterns, such as those involving cycling hair follicles, may appear as traveling waves in mice. Since skin appendages can renew themselves in regeneration, their size and shape can still change in the adult via regulation by hormones and the environment. Some lesion patterns are based on pathological changes involving the above processes and can be used as diagnostic criteria in medicine. Understanding the different mechanisms that lead to patterns in the skin will help us appreciate their full significance in morphogenesis and medical research. Much remains to be learned about complex pattern formation, if we are to bridge the gap between molecular biology and organism phenotypes.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
Portugal 1 2%
India 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 29%
Researcher 6 12%
Student > Doctoral Student 3 6%
Professor 3 6%
Professor > Associate Professor 3 6%
Other 6 12%
Unknown 14 29%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 15 31%
Biochemistry, Genetics and Molecular Biology 6 12%
Medicine and Dentistry 5 10%
Mathematics 3 6%
Engineering 2 4%
Other 5 10%
Unknown 13 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 26 September 2024.
All research outputs
#8,671,076
of 32,326,393 outputs
Outputs from Birth Defects Research Part C: Embryo Today: Reviews
#71
of 190 outputs
Outputs of similar age
#38,582
of 114,731 outputs
Outputs of similar age from Birth Defects Research Part C: Embryo Today: Reviews
#1
of 2 outputs
Altmetric has tracked 32,326,393 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 190 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. 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 114,731 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 66% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them