↓ Skip to main content

PLOS

RNA-Seq Analysis Reveals Different Dynamics of Differentiation of Human Dermis- and Adipose-Derived Stromal Stem Cells

Overview of attention for article published in PLOS ONE, June 2012
Altmetric Badge

Mentioned by

twitter
1 X user
patent
4 patents

Readers on

mendeley
139 Mendeley
citeulike
1 CiteULike
Title
RNA-Seq Analysis Reveals Different Dynamics of Differentiation of Human Dermis- and Adipose-Derived Stromal Stem Cells
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0038833
Pubmed ID
Authors

Kersti Jääger, Saiful Islam, Pawel Zajac, Sten Linnarsson, Toomas Neuman

Abstract

Tissue regeneration and recovery in the adult body depends on self-renewal and differentiation of stem and progenitor cells. Mesenchymal stem cells (MSCs) that have the ability to differentiate into various cell types, have been isolated from the stromal fraction of virtually all tissues. However, little is known about the true identity of MSCs. MSC populations exhibit great tissue-, location- and patient-specific variation in gene expression and are heterogeneous in cell composition.

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

Geographical breakdown

Country Count As %
United States 5 4%
Japan 2 1%
Sweden 2 1%
France 1 <1%
Unknown 129 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 22%
Student > Ph. D. Student 29 21%
Student > Master 21 15%
Student > Bachelor 10 7%
Student > Doctoral Student 6 4%
Other 23 17%
Unknown 19 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 44%
Biochemistry, Genetics and Molecular Biology 22 16%
Medicine and Dentistry 16 12%
Engineering 6 4%
Computer Science 3 2%
Other 8 6%
Unknown 23 17%