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TGF-β stimulation in human and murine cells reveals commonly affected biological processes and pathways at transcription level

Overview of attention for article published in BMC Systems Biology, May 2014
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2 X users

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Title
TGF-β stimulation in human and murine cells reveals commonly affected biological processes and pathways at transcription level
Published in
BMC Systems Biology, May 2014
DOI 10.1186/1752-0509-8-55
Pubmed ID
Authors

Khalid Abnaof, Nikhil Mallela, Gudrun Walenda, Steffen K Meurer, Kristin Seré, Qiong Lin, Bert Smeets, Kurt Hoffmann, Wolfgang Wagner, Martin Zenke, Ralf Weiskirchen, Holger Fröhlich

Abstract

The TGF-β signaling pathway is a fundamental pathway in the living cell, which plays a key role in many central cellular processes. The complex and sometimes contradicting mechanisms by which TGF-β yields phenotypic effects are not yet completely understood. In this study we investigated and compared the transcriptional response profile of TGF-β1 stimulation in different cell types. For this purpose, extensive experiments are performed and time-course microarray data are generated in human and mouse parenchymal liver cells, human mesenchymal stromal cells and mouse hematopoietic progenitor cells at different time points. We applied a panel of bioinformatics methods on our data to uncover common patterns in the dynamic gene expression response in respective cells.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 22%
Student > Bachelor 9 16%
Researcher 6 10%
Student > Doctoral Student 4 7%
Student > Master 4 7%
Other 12 21%
Unknown 10 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 24%
Agricultural and Biological Sciences 11 19%
Immunology and Microbiology 5 9%
Medicine and Dentistry 5 9%
Computer Science 2 3%
Other 9 16%
Unknown 12 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 June 2014.
All research outputs
#16,721,208
of 25,373,627 outputs
Outputs from BMC Systems Biology
#613
of 1,132 outputs
Outputs of similar age
#139,460
of 241,493 outputs
Outputs of similar age from BMC Systems Biology
#16
of 32 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 42nd percentile – i.e., 42% 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 241,493 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
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.