↓ Skip to main content

RNA polymerase mapping during stress responses reveals widespread nonproductive transcription in yeast

Overview of attention for article published in Genome Biology, July 2010
Altmetric Badge

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 (78th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
120 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
RNA polymerase mapping during stress responses reveals widespread nonproductive transcription in yeast
Published in
Genome Biology, July 2010
DOI 10.1186/gb-2010-11-7-r75
Pubmed ID
Authors

Tae Soo Kim, Chih Long Liu, Moran Yassour, John Holik, Nir Friedman, Stephen Buratowski, Oliver J Rando

Abstract

The use of genome-wide RNA abundance profiling by microarrays and deep sequencing has spurred a revolution in our understanding of transcriptional control. However, changes in mRNA abundance reflect the combined effect of changes in RNA production, processing, and degradation, and thus, mRNA levels provide an occluded view of transcriptional regulation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
United Kingdom 2 2%
Germany 1 <1%
Chile 1 <1%
Portugal 1 <1%
Lithuania 1 <1%
Mexico 1 <1%
France 1 <1%
Korea, Republic of 1 <1%
Other 3 3%
Unknown 105 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 35%
Researcher 35 29%
Professor > Associate Professor 12 10%
Student > Master 6 5%
Professor 5 4%
Other 9 8%
Unknown 11 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 76 63%
Biochemistry, Genetics and Molecular Biology 27 23%
Computer Science 3 3%
Social Sciences 2 2%
Physics and Astronomy 1 <1%
Other 1 <1%
Unknown 10 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 2010.
All research outputs
#5,422,599
of 25,373,627 outputs
Outputs from Genome Biology
#2,923
of 4,467 outputs
Outputs of similar age
#22,535
of 105,214 outputs
Outputs of similar age from Genome Biology
#18
of 29 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 34th percentile – i.e., 34% 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 105,214 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 78% of its contemporaries.
We're also able to compare this research output to 29 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.