↓ Skip to main content

Microarray and cDNA sequence analysis of transcription during nerve-dependent limb regeneration

Overview of attention for article published in BMC Biology, January 2009
Altmetric Badge

Mentioned by

wikipedia
1 Wikipedia page
f1000
1 research highlight platform

Citations

dimensions_citation
186 Dimensions

Readers on

mendeley
153 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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
Microarray and cDNA sequence analysis of transcription during nerve-dependent limb regeneration
Published in
BMC Biology, January 2009
DOI 10.1186/1741-7007-7-1
Pubmed ID
Authors

James R Monaghan, Leonard G Epp, Srikrishna Putta, Robert B Page, John A Walker, Chris K Beachy, Wei Zhu, Gerald M Pao, Inder M Verma, Tony Hunter, Susan V Bryant, David M Gardiner, Tim T Harkins, S Randal Voss

Abstract

Microarray analysis and 454 cDNA sequencing were used to investigate a centuries-old problem in regenerative biology: the basis of nerve-dependent limb regeneration in salamanders. Innervated (NR) and denervated (DL) forelimbs of Mexican axolotls were amputated and transcripts were sampled after 0, 5, and 14 days of regeneration.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 5%
Germany 1 <1%
Norway 1 <1%
Italy 1 <1%
Sweden 1 <1%
Netherlands 1 <1%
Mexico 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 137 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 24%
Researcher 31 20%
Student > Bachelor 15 10%
Professor > Associate Professor 15 10%
Student > Master 12 8%
Other 25 16%
Unknown 19 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 47%
Biochemistry, Genetics and Molecular Biology 34 22%
Neuroscience 6 4%
Medicine and Dentistry 6 4%
Engineering 3 2%
Other 11 7%
Unknown 21 14%