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GATA-dependent transcriptional and epigenetic control of cardiac lineage specification and differentiation

Overview of attention for article published in Cellular & Molecular Life Sciences, July 2015
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Mentioned by

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3 tweeters

Citations

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14 Dimensions

Readers on

mendeley
34 Mendeley
Title
GATA-dependent transcriptional and epigenetic control of cardiac lineage specification and differentiation
Published in
Cellular & Molecular Life Sciences, July 2015
DOI 10.1007/s00018-015-1974-3
Pubmed ID
Authors

Sonia Stefanovic, Vincent M. Christoffels

Abstract

Heart progenitor cells differentiate into various cell types including pacemaker and working cardiomyocytes. Cell-type specific gene expression is achieved by combinatorial interactions between tissue-specific transcription factors (TFs), co-factors, and chromatin remodelers and DNA binding elements in regulatory regions. Dysfunction of these transcriptional networks may result in congenital heart defects. Functional analysis of the regulatory DNA sequences has contributed substantially to the identification of the transcriptional network components and combinatorial interactions regulating the tissue-specific gene programs. GATA TFs have been identified as central players in these networks. In particular, GATA binding elements have emerged as a platform to recruit broadly active histone modification enzymes and cell-type-specific co-factors to drive cell-type-specific gene programs. Here, we discuss the role of GATA factors in cell fate decisions and differentiation in the developing heart.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 3%
Turkey 1 3%
Netherlands 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 38%
Researcher 10 29%
Unspecified 3 9%
Student > Master 2 6%
Student > Doctoral Student 2 6%
Other 4 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 44%
Agricultural and Biological Sciences 9 26%
Medicine and Dentistry 5 15%
Unspecified 4 12%
Engineering 1 3%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 July 2015.
All research outputs
#7,640,691
of 12,227,808 outputs
Outputs from Cellular & Molecular Life Sciences
#1,761
of 2,527 outputs
Outputs of similar age
#128,285
of 237,617 outputs
Outputs of similar age from Cellular & Molecular Life Sciences
#41
of 91 outputs
Altmetric has tracked 12,227,808 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,527 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 21st percentile – i.e., 21% 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 237,617 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.