↓ Skip to main content

Time is of the essence for ParaHox homeobox gene clustering

Overview of attention for article published in BMC Biology, June 2013
Altmetric Badge

Mentioned by

blogs
1 blog
twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
37 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Time is of the essence for ParaHox homeobox gene clustering
Published in
BMC Biology, June 2013
DOI 10.1186/1741-7007-11-72
Pubmed ID
Authors

Myles Garstang, David EK Ferrier

Abstract

ParaHox genes, and their evolutionary sisters the Hox genes, are integral to patterning the anterior-posterior axis of most animals. Like the Hox genes, ParaHox genes can be clustered and exhibit the phenomenon of colinearity - gene order within the cluster matching gene activation. Two new instances of ParaHox clustering provide the first examples of intact clusters outside chordates, with gene expression lending weight to the argument that temporal colinearity is the key to understanding clustering.

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

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Mexico 1 3%
Italy 1 3%
Norway 1 3%
Unknown 33 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 32%
Student > Bachelor 5 14%
Student > Ph. D. Student 4 11%
Student > Master 3 8%
Student > Doctoral Student 2 5%
Other 5 14%
Unknown 6 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 43%
Biochemistry, Genetics and Molecular Biology 11 30%
Computer Science 1 3%
Social Sciences 1 3%
Neuroscience 1 3%
Other 1 3%
Unknown 6 16%