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Sharing the SAGA

Overview of attention for article published in Trends in Biochemical Sciences, September 2017
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6 X users

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182 Mendeley
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Article details
Title
Sharing the SAGA
Published in
Trends in Biochemical Sciences, September 2017
DOI 10.1016/j.tibs.2017.09.001
Pubmed ID
Authors
Abstract

Transcription initiation is a major regulatory step in eukaryotic gene expression. Co-activators establish transcriptionally competent promoter architectures and chromatin signatures to allow the formation of the pre-initiation complex (PIC), comprising RNA polymerase II (Pol II) and general transcription factors (GTFs). Many GTFs and co-activators are multisubunit complexes, in which individual components are organized into functional modules carrying specific activities. Recent advances in affinity purification and mass spectrometry analyses have revealed that these complexes often share functional modules, rather than containing unique components. This observation appears remarkably prevalent for chromatin-modifying and remodeling complexes. Here, we use the modular organization of the evolutionary conserved Spt-Ada-Gcn5 acetyltransferase (SAGA) complex as a paradigm to illustrate how co-activators share and combine a relatively limited set of functional tools.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 182 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 43 24%
Student > Master 23 13%
Researcher 22 12%
Student > Doctoral Student 14 8%
Student > Bachelor 13 7%
Other 23 13%
Unknown 44 24%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 89 49%
Agricultural and Biological Sciences 29 16%
Chemistry 3 2%
Computer Science 2 1%
Immunology and Microbiology 2 1%
Other 9 5%
Unknown 48 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 December 2017.
All research outputs
#16,132,920
of 27,788,586 outputs
Outputs from Trends in Biochemical Sciences
#2,319
of 2,830 outputs
Outputs of similar age
#164,422
of 333,547 outputs
Outputs of similar age from Trends in Biochemical Sciences
#11
of 19 outputs
Altmetric has tracked 27,788,586 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,830 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 17th percentile – i.e., 17% 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 333,547 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.