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Functional fingerprinting of human mesenchymal stem cells using high-throughput RNAi screening

Overview of attention for article published in Genome Medicine, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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12 X users
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1 Facebook page

Citations

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3 Dimensions

Readers on

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31 Mendeley
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Title
Functional fingerprinting of human mesenchymal stem cells using high-throughput RNAi screening
Published in
Genome Medicine, May 2015
DOI 10.1186/s13073-015-0170-2
Pubmed ID
Authors

Gerrit Erdmann, Michael Suchanek, Patrick Horn, Fabian Graf, Christian Volz, Thomas Horn, Xian Zhang, Wolfgang Wagner, Anthony D. Ho, Michael Boutros

Abstract

Mesenchymal stem cells (MSCs) are promising candidates for cellular therapies ranging from tissue repair in regenerative medicine to immunomodulation in graft versus host disease after allogeneic transplantation or in autoimmune diseases. Nonetheless, progress has been hampered by their enormous phenotypic as well as functional heterogeneity and the lack of uniform standards and guidelines for quality control. In this study, we describe a method to perform cellular phenotyping by high-throughput RNA interference in primary human bone marrow MSCs. We have shown that despite heterogeneity of MSC populations, robust functional assays can be established that are suitable for high-throughput and high-content screening. We profiled primary human MSCs against human fibroblasts. Network analysis showed a kinome fingerprint that differs from human primary fibroblasts as well as fibroblast cell lines. In conclusion, this study shows that high-throughput screening in primary human MSCs can be reliably used for kinome fingerprinting.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Canada 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 48%
Student > Ph. D. Student 5 16%
Other 2 6%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Other 2 6%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 35%
Biochemistry, Genetics and Molecular Biology 6 19%
Medicine and Dentistry 5 16%
Engineering 3 10%
Physics and Astronomy 1 3%
Other 2 6%
Unknown 3 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 22 July 2015.
All research outputs
#4,414,582
of 23,923,788 outputs
Outputs from Genome Medicine
#866
of 1,477 outputs
Outputs of similar age
#53,892
of 268,514 outputs
Outputs of similar age from Genome Medicine
#21
of 32 outputs
Altmetric has tracked 23,923,788 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,477 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.4. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 268,514 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.