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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
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
13 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
30 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.

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 30 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 28 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 43%
Student > Ph. D. Student 5 17%
Student > Bachelor 3 10%
Other 2 7%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 37%
Biochemistry, Genetics and Molecular Biology 5 17%
Medicine and Dentistry 5 17%
Engineering 3 10%
Physics and Astronomy 1 3%
Other 2 7%
Unknown 3 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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
#641,194
of 5,387,274 outputs
Outputs from Genome Medicine
#235
of 575 outputs
Outputs of similar age
#30,336
of 175,856 outputs
Outputs of similar age from Genome Medicine
#17
of 32 outputs
Altmetric has tracked 5,387,274 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 575 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. This one has gotten more attention than average, scoring higher than 58% of its peers.
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 175,856 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 82% 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 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.