↓ Skip to main content

PLOS

Bare Bones Pattern Formation: A Core Regulatory Network in Varying Geometries Reproduces Major Features of Vertebrate Limb Development and Evolution

Overview of attention for article published in PLOS ONE, May 2010
Altmetric Badge

Mentioned by

twitter
1 X user
facebook
2 Facebook pages
wikipedia
7 Wikipedia pages

Readers on

mendeley
146 Mendeley
Title
Bare Bones Pattern Formation: A Core Regulatory Network in Varying Geometries Reproduces Major Features of Vertebrate Limb Development and Evolution
Published in
PLOS ONE, May 2010
DOI 10.1371/journal.pone.0010892
Pubmed ID
Authors

Jianfeng Zhu, Yong-Tao Zhang, Mark S. Alber, Stuart A. Newman

Abstract

Major unresolved questions regarding vertebrate limb development concern how the numbers of skeletal elements along the proximodistal (P-D) and anteroposterior (A-P) axes are determined and how the shape of a growing limb affects skeletal element formation. There is currently no generally accepted model for these patterning processes, but recent work on cartilage development (chondrogenesis) indicates that precartilage tissue self-organizes into nodular patterns by cell-molecular circuitry with local auto-activating and lateral inhibitory (LALI) properties. This process is played out in the developing limb in the context of a gradient of fibroblast growth factor (FGF) emanating from the apical ectodermal ridge (AER).

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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Argentina 2 1%
Brazil 2 1%
Netherlands 1 <1%
South Africa 1 <1%
Canada 1 <1%
France 1 <1%
Gambia 1 <1%
Mexico 1 <1%
Other 2 1%
Unknown 129 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 20%
Researcher 26 18%
Student > Master 21 14%
Student > Bachelor 18 12%
Professor 9 6%
Other 33 23%
Unknown 10 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 49%
Biochemistry, Genetics and Molecular Biology 16 11%
Earth and Planetary Sciences 7 5%
Medicine and Dentistry 7 5%
Engineering 7 5%
Other 24 16%
Unknown 14 10%